Engineering Analysis and Design

Engineering systems entail uncertainties of many sorts: loads, material properties, environmental conditions, etc. Info-gap theory has been applied in many analyses of design, safety and reliability.

  • Questions or comments on info-gap theory? Contact me at
  • Yakov Ben-Haim, 2006, Info-gap Decision Theory: Decisions Under Severe Uncertainty, 2nd edition, Academic Press, London.
    • Chapter 3: Robustness and Opportuneness.
      • Section 3.2.1: Engineering design: Cantilever.
      • Section 3.2.2: Structural reliability.
      • Section 3.2.3: Structural reliability with uncertain probability.
    • Chapter 5: Antagonistic and Sympathetic Immunities.
      • Section 5.3: Vibrating Mechanical Contact.
    • Chapter 7: Value of Information.
      • Section 7.3 Uncertain loads on a cantilever.
      • Section 7.4 Cantilever: Simple and complex info-gap models.
    • Chapter 8: Learning.
      • Section 8.2: Info-gap supervision of a classifier.
      • Section 8.3: Acoustic noise.
  • Yakov Ben-Haim, 2005, Info-gap Decision Theory For Engineering Design. Or: Why `Good’ is Preferable to `Best’, appearing as chapter 11 in Engineering Design Reliability Handbook, Edited by Efstratios Nikolaidis, Dan M.Ghiocel and Surendra Singhal, CRC Press, Boca Raton. Pre-print.
  • K.Jaboviste, E.Sadoulet-Reboul, N.Peyret, C.Arnould, E.Collard, G.Chevallier, 2019, On the compromise between performance and robustness for viscoelastic damped structures, Mechanical Systems and Signal Processing, 119: 65-80. Abstract.
  • Koki Makita, Kyoichiro Kondo and Izuru Takewaki, 2018, Critical ground motion for resilient building design considering uncertainty of fault rupture slip, Front. Built Environ., 07 November 2018, Abstract.
  • Koki Makita, Kyoichiro Kondo and Izuru Takewaki, 2019, Finite Difference Method-Based Critical Ground Motion and Robustness Evaluation for Long-Period Building Structures Under Uncertainty in Fault Rupture, Front. Built Environ. Abstract.
  •  Yakov Ben-Haim, 2018, Cascading failures: A preliminary info-gap analysis, presented at an International Workshop on Cascading Disasters: Theory, Methods and Empirics, Technion, 28-29.11.2018. Working draft.
  • Seyed-Ehsan Razavi, Ali Esmaeel Nezhad, Hani Mavalizadeh, Fatima Raeisi, Abdollah Ahmadi, 2018, Robust hydrothermal unit commitment: A mixed-integer linear framework, Energy, vol. 165, pp. 593-602. Abstract.
  • Maryam Soltani, Reza Kerachian, Mohammad reza Nikoo, Hamideh Noory, 2018, Planning for agricultural return flow allocation: Application of info-gap decision theory and a nonlinear CVaR-based optimization model, Environmental Science and Pollution Research, DOI: 10.1007/s11356-018-2544-7. Abstract.
  • Koki Makita, Mitsuru Murase, Kyoichiro Kondo and Izuru Takewaki, 2018, Robustness evaluation of base-isolation building-connection hybrid controlled building structures considering uncertainties in deep ground, Frontiers in Built Environment, 4:16. DOI 10.3389/fbuil.2018.00016. Abstract.
  • Deping Ke , Feifan Shen, C. Y. Chung , Chen Zhang , Jian Xu , and Yuanzhang Sun, 2018, Application of information gap decision theory to the design of robust wide-area power system stabilizers considering uncertainties of wind power, IEEE Transactions on Sustainable Energy, vol. 9, no. 2, April 2018, pp.805-817. Abstract.
  • Yakov Ben-Haim, 1996, Robust Reliability in the Mechanical Sciences, Springer-Verlag, Berlin.
  • Yakov Ben-Haim, 2017, Does a better model yield a better argument? An info-gap analysis, Proceedings of the Royal Society, A, 5 April 2017. Abstract. Pre-publication version. Link to PRSA site. Summarized on here.
  • Yoshihiro Kanno, Shinnosuke Fujita and Yakov Ben-Haim, 2018, Structural Design for earthquake resilience: Info-gap management of uncertainty, Structural Safety, to appear. Pre-publication version.
  • Yoshihiro Kanno, Keisuke Yasuda, Kohei Fujita, Izuru Takewaki, 2017, Robustness of SDOF elastoplastic structure subjected to double-impulse input under simultaneous uncertainties of yield deformation and stiffness, International Journal of Non–Linear Mechanics, 91: 151-162. Abstract.
  • Platz, R and Goetz, B., 2017, Non-probabilistic uncertainty evaluation in the concept phase for airplane landing gear design, Proceedings of the Society for Experimental Mechanics, Volume 3 Part F2, 2017, Pages 161–169, 35th IMAC Conference and Exposition on Structural Dynamics, 2017; Garden Grove; United States; 30.1–2.2.2016. Abstract.
  • Sayyad Nojavan, Hamed Pashaei-Didani, Kasra Saberi, Kazem Zare, 2019, Risk assessment in a central concentrating solar power plant, Solar Energy, Vol. 180, pp.293-300. Abstract.
  • Farkhondeh Jabari, Sayyad Nojavan, Behnam Mohammadi-ivatloo, Hadi Ghaebi and Hasan Mehrjerdi, 2018, Risk-constrained scheduling of solar Stirling engine based industrial continuous heat treatment furnace, Applied Thermal Engineering, Vol.128, #5, pp.940-955. Abstract.
  • Sayyad Nojavan, Majid Majidi, Kazem Zare, 2017, Performance improvement of a battery/PV/fuel cell/grid hybrid energy system considering load uncertainty modeling using IGDT, Energy Conversion and Management, Volume 147, #1 pp.29-39. Abstract.
  • Sayyad Nojavan, Majid Majidi, Kazem Zare, 2017, Risk-based optimal performance of a PV/fuel cell/battery/grid hybrid energy system using information gap decision theory in the presence of demand response program, Intl Journal of Hydrogen Energy, to appear. Abstract.
  • Yakov Ben-Haim, 2016, Innovation Dilemmas, Design Optimization, and Info-Gaps, 34th International Modal Analysis Conference (34th IMAC), 25-28.1.2016, Orlando, Florida, appearing as chapter 15 in Model Validation and Uncertainty Quantification, Volume 3, Proceedings of the 34th IMAC, Springer. Pre-print.
  • Ahmed E. Al-Juaidi and Tarek Hegazy, 2017, Conflict resolution for Sacramento-San-Joaquin delta with stability and sensitivity analyses using the graph model, British Journal of Mathematics & Computer Science, vol. 20 (5): 1-10, DOI: 10.9734/BJMCS/2017/31225. Abstract.
  • Ahmed E. M. Al-Juaidi, 2017, Decision support system analysis with the graph model on non-cooperative generic water resource conflicts, International Journal of Engineering & Technology, 6 (4): 145-153. Abstract.
  • Ahmed E. Al-Juaidi, 2017, Decision support system with multi-criteria, stability, and uncertainty analysis for resolving the municipal infrastructure conflict in the city of Jeddah, Journal of King Saud University – Engineering Sciences, to appear. Abstract.
  • Ali Mehdizadeh, Navid Taghizadegan, Javad Salehi, 2018, Risk-based energy management of renewable-based microgrid using information gap decision theory in the presence of peak load management, Applied Energy, 211: 617-630. Abstract.
  • Morteza Aien, Ali Hajebrahimi, Mahmud Fotuhi-Firuzabad, 2016, A comprehensive review on uncertainty modeling techniques in power system studies. Renewable and Sustainable Energy Reviews, 57: 1077-1089.
  • Wei-Chih Lin, Yu-Pin Lin, and Yung-Chieh Wang, 2016, A decision-making approach for delineating sites which are potentially contaminated by heavy metals via joint simulation, Environmental Pollution, 211: 98-110.
  • Ghodsi, S.H.,  Kerachian, R.,  Estalaki, S.M.,  Nikoo, M.R.,  Zahmatkesh, Z., 2016, Developing a stochastic conflict resolution model for urban runoff quality management: Application of info-gap and bargaining theories, Journal of Hydrology, Vol. 533: 200-212.
  • Yakov Ben-Haim, 2015, Info-gap theory: An intuitive overview for engineering design and reliability assessment, ESREL 2015, European Safety and Reliability Conference, 7-10.9.2015, Zurich, Switzerland. Pre-print.
  • Yakov Ben-Haim, Xavier Irias and Roberts McMullin, 2015, Managing technological and economic uncertainties in design of long-term infrastructure projects: An info-gap approach, 25th CIRP Design Conference, Procedia CIRP, 36 pp. 59-63, Haifa, Israel. Pre-print.
  • Mohammad Sadegh Javadi, Amjad Anvari-Moghaddam and Josep M. Guerrero, 2017, Robust energy hub management using information gap decision theory, Annual Conference of the IEEE Industrial Electronics Society (IECON 2017), Beijing. Abstract.
  • Alireza Soroudi, Pouria Maghouli, Andrew Keane, 2017, Resiliency oriented integration of distributed series reactors in transmission networks, IET Generation Transmission & Distribution. Abstract.
  • Abbas Rabiee, Saman Nikkhah and Alireza Soroudi, 2018, Information Gap Decision Theory to Deal with Long-term Wind Energy Planning Considering Voltage Stability Energy, Volume 147, Pages 451-463. Abstract.
  • Alireza Soroudi, Abbas Rabiee and Andrew Keane, 2017, Information gap decision theory approach to deal with wind power uncertainty in unit commitment, Electric Power Systems Research, 145: 137-148. Abstract.
  • Mohamad-Amin Nasr, Ehsan Nasr Azadani, Abbas Rabiee, and S. H. Hosseinian, 2019, A Risk-Averse Energy Management System for Isolated Microgrids Considering Generation and Demand Uncertainties Based on Information Gap Decision Theory, IET Renewable Power Generation, to appear. Abstract.
  • Alison O’Connell, Alireza Soroudi and Andrew Keane, 2016, Distribution network operation under uncertainty using information gap decision theory, Transactions on Smart Grid, to appear.
  • Murphy, C.; Soroudi, A.; Keane, A., 2015, Information gap decision theory-based congestion and voltage management in the presence of uncertain wind power, IEEE Transactions on Sustainable Energy, DOI: 10.1109/TSTE.2015.2497544
  • Rabiee, A.; Soroudi, A.; Keane, A., 2015, Information gap decision theory based OPF with HVDC connected wind farms,IEEE Transactions on Power Systems, vol.30, no.6, pp.3396-3406, DOI: 10.1109/TPWRS.2014.2377201
  • P Maghouli, A Soroudi, A Keane, 2015, Robust computational framework for mid-term techno-economical assessment of energy storage, IET Generation, Transmission & Distribution,
  • Tianyang Zhao, Jianhua Zhang, and Peng Wang, 2016, Flexible active distribution system management considering interaction with transmission networks using information-gap decision theory, Canadian Society for Electrical Engineering (CSEE) Journal of Power and Energy Systems, vol. 2, no. 4, pp.76-86. Abstract.
  • A. Soroudi, A. Keane, 2015, Risk averse energy hub management considering plug-in electric vehicles using information gap decision theory, in S. Rajakaruna, F. Shahnia, A. Ghosh, eds., Plug in Electric Vehicles in Smart Grids, Springer, Singapore, pp. 107-127,
  • Kendra Van Buren, Jack Reilly, Kyle Neal, Harry Edwards, François Hemez, 2016, Guaranteeing robustness of structural condition monitoring to environmental variability, Journal of Sound and Vibration, available online 14 October 2016.
  • Kendra L. Van Buren and François M. Hemez, 2016, Achieving robust design through statistical effect screening, Int. J. Numer. Meth. Engng, 105 (5) pp. 351-371. DOI: 10.1002/nme.4981
  • Van Buren, K. and Hemez, F., 2015, Robust-optimal design using multifidelity models, Conference Proceedings of the Society for Experimental Mechanics Series, Vol. 3, 2015, Article A28, pp.199-205. 2014 Annual Conference on Experimental and Applied Mechanics, Greenville, SC, 2-5 June 2014.
  • Jonathan D. Herman,  Patrick M. Reed, Ph.D., Harrison B. Zeff, and Gregory W. Characklis, 2015, How should robustness be defined for water systems planning under change? Journal of Water Resources Planning and Management, vol. 141, issue 10. Abstract.
  • Jonatan Zischg, Mariana L. R. Goncalves, Taneha Kuzniecow Bacchin, Guenther Leonhardt, Maria Viklander, Arjan van Timmeren, Wolfgang Rauch and Robert Sitzenfrei, 2017, Info-Gap robustness pathway method for transitioning of urban drainage systems under deep uncertainties, Water Science & Technology, 76(5): 1272-1281. Abstract.
  • Yakov Ben-Haim, 2012, Doing Our Best: Optimization and the Management of Risk, Risk Analysis, 32(8): 1326-1332. Pre-print, The published version, The definitive version.
  • Yakov Ben-Haim, 2012, Why risk analysis is difficult, and some thoughts on how to proceed, Risk Analysis,32(10): 1638-1646. Pre-print Published version, The definitive version
  • Yiping Li, Jianwen Chen, and Ling Feng, Dealing with uncertainty: A survey of theories and practices, IEEE Transactions on Knowledge and Data Engineering, vol.25, issue 11, November 2013, pages 2463-2482.
  • Xavier Irias, Robustness: Strategies for Utility Management in Conditions of Uncertainty, Source, vol.26, #2, pp.20-23, Spring 2012. Online version.
  • D.V. Cicala and X. Irias, 2014, Utilizing info-gap decision theory to improve pipeline reliability: A case study,Pipelines 2014: From Underground to the Forefront of Innovation and Sustainability, Portland, 3-6 August 2014, pp.1749-1760.
  • David Hambling, 2012, Self-Defense for the Self-Driving Car, Popular Mechanics, Online version.
    Selection from article
  • Yoshihiro Kanno and Yakov Ben-Haim, 2011, Redundancy and Robustness, Or, When is Redundancy Redundant? ASCE Journal of Structural Engineering, 137(9): 935-945. Pre-print.
  • Yoshihiro Kanno, 2012, Worst scenario detection in limit analysis of trusses against deficiency of structural components, Engineering Structures, 42: 33-42.
  • Yakov Ben-Haim and Francois Hemez, 2012, Robustness, Fidelity and Prediction-Looseness of Models,Proceedings of the Royal Society, A, 468: 227-244. Pre-print.
  • Yakov Ben-Haim, 2011, When is non-probabilistic robustness a good probabilistic bet? Working paper.
  • Yakov Ben-Haim, 2014, Robust satisficing and the probability of survival, Intl. J. of Systems Science, 45(1): 3-19, appearing on-line 9 May 2012. Online preview.
  • S.Gareth Pierce, Yakov Ben-Haim, Keith Worden, Graeme Manson, 2006, Evaluation of neural network robust reliability using information-gap theory, IEEE Transactions on Neural Networks, vol.17, No.6, pp.1349-1361.
  • Y. Kanno and I. Takewaki, Robustness analysis of trusses with separable load and structural uncertainties,International Journal of Solids and Structures, Volume 43, Issue 9, May 2006, pp.2646-2669.
  • Miriam Zacksenhouse, Simona Nemets, Miikhail A Lebedev and Miguel A Nicolelis, 2009, Robust Satisficing Linear Regression: performance/robustness trade-off and consistency criterion, Mechanical Systems and Signal Processing, vol.23, pp.1954-1964.
  • Sisso, Itay, Tal Shima, and Yakov Ben-Haim, 2010, Info-gap approach to multi agent search under severe uncertainty, IEEE Transactions on Robotics, vol. 26, issue 6, pp.1032-1041. Pre-print.
  • Navid Rezaei, Abdollah Ahmadi, Ali Esmaeel Nezhad and Amirhossein Khazali, 2019, Information-gap decision theory: Principles and fundamentals, chapter 2 in Behnam Mohammadi-ivatloo and Morteza Nazari-Heris, eds., 2019, Robust Optimal Planning and Operation of Electrical Energy Systems, Springer. DOI: 10.1007/978-3-030-04296-7_2. Abstract.
  • Navid Rezaei, Abdollah Ahmadi, A.H. Khazali and Josep M. Guerrero, 2018, Energy and Frequency Hierarchical Management System Using Information Gap Decision Theory for Islanded Microgrids, IEEE Transactions on Industrial Electronics. DOI 10.1109/TIE.2018.2798616   Abstract.
  • Hamid Reza Nikzad, Hamdi Abdi, Shahriar Abbasi, Robust unit commitment applying information gap decision theory and taguchi orthogonal array technique, chapter 7 in Behnam Mohammadi-ivatloo and Morteza Nazari-Heris, eds., 2019, Robust Optimal Planning and Operation of Electrical Energy Systems, Springer. Abstract.
  • Jian Zhao ; Can Wan ; Zhao Xu ; Jianhui Wang, 2017, Risk-based day-ahead scheduling of electric vehicle aggregator using information gap decision theory, IEEE Transactions on Smart Grid, vol. 8(4): 1609-1618, July 2017. Abstract.
  • Si, T.-Q.,  Su, Y.-H.,  Xiao, W., 2017, Robust reliability analysis of support surrounding rock based on Info-gap theory, Yantu Lixue/Rock and Soil Mechanics, Volume 38, Issue 3, 10 March 2017, Pages 827-832 and 910. Abstract.
  • Ji, X. and  Niu, Y., 2016, Robust strategy planning for UAV with LTL specifications, 35th Chinese Control Conference, CCC, 27-29 July 2016, Chengdu; China, Article number 7553803, Pages 2890-2895.
  • Xiaoting Ji, Yifeng Niu and Lincheng Shen, 2016, Robust satisficing decision making for unmanned aerial vehicle complex missions under severe uncertainty, PLoS One, 11(11): e0166448. doi:10.1371/journal.pone.0166448. Abstract.
  • Aurélien Hot, Thomas Weisser and Scott Cogan, 2017, An info-gap application to robust design of a prestressed space structure under epistemic uncertainties, Mechanical Systems and Signal Processing, 91: 1-9. Abstract.
  • Maugan, F.,  Cogan, S.,  Foltête, E.,  Hot, A., 2016, Robust sensor and exciter design for linear structures, 34th IMAC, A Conference and Exposition on Structural Dynamics, Orlando; 25-28 January 2016.
  • Edwards, H.,  Neal, K.,  Reilly, J.,  Van Buren, K.,  Hemez, F., 2016, Making structural condition diagnostics robust to environmental variability, 34th IMAC, A Conference and Exposition on Structural Dynamics, Orlando; 25-28 January 2016.
  • Hemez, F.,  Van Buren, K., 2016, Designing a mechanical latch for robust performance, 34th IMAC, A Conference and Exposition on Structural Dynamics, Orlando; 25-28 January 2016.
  • Piegat, A.,  Tomaszewska, K., 2013, Decision-Making under uncertainty using Info-Gap Theory and a new multi-dimensional RDM interval arithmetic, Przeglad Elektrotechniczny, R. 89 NR 8/2013. Abstract.
  • Piegat, A.,  Tomaszewska, K., 2015, Assessment of fertilizer nitrogen requirement of sugar beetroot using info-gap theory, Lecture Notes in Artificial Intelligence, (Subseries of Lecture Notes in Computer Science) Volume 9120, 2015, Pages 448-459, 14th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2015. Abstract.
  • Lépine, P.,  Cogan, S.,  Foltête, E.,  Parent, M.-O., 2016, Robust model calibration using determinist and stochastic performance metrics, 34th IMAC, A Conference and Exposition on Structural Dynamics, Orlando; 25-28 January 2016.
  • Yoshihiro Kanno and Izuru Takewaki, 2016, Robustness analysis of elastoplastic structure subjected to double impulse, Journal of Sound and Vibration, vol. 383 pp. 309-323.
  • Liu, G.,  Li, K.,  Wang, X.,  Li, L.-L., 2016, Damage detection based on info-gap approach, Gongcheng Lixue/Engineering Mechanics, Volume 33, 1 June 2016, Pages 257-261.
  • T. Roach, Z. Kapelan, R. Ledbetter and M. Ledbetter, 2016, Comparison of robust optimization and info-gap methods for water resource management under deep uncertainty, Journal of Water Resources Planning and Management, 142: 9,  art. no. 08217002.
  • Tom Roach, Zoran Kapelan and Ralph Ledbetter, 2015, Comparison of info-gap and robust optimisation methods for integrated water resource management under severe uncertainty, Procedia Engineering, 119 (2015) 874-883, 13th Computer Control for Water Industry Conference, CCWI 2015.
  • Tang, H.-S.,  Fan, D.-W.,  Li, D.-W.,  Xue, S.-T., 2015, Info-gap decision for the robust seismic design optimization of structures, Hunan Daxue Xuebao/Journal of Hunan University Natural Sciences, 42(5): pp.21-28.
  • Garrison Stevens,  Kendra Van Buren, Elizabeth Wheeler and Sez Atamturktur, 2015, Evaluating the fidelity and robustness of calibrated numerical model predictions, Engineering Computations, 32(3): 621-642.
  • Yakov Ben-Haim, Miriam Zacksenhouse, Ronit Eshel, Raphael Levi, Avi Fuerst and Wayne Bentley, 2014, Failure detection with likelihood ratio tests and uncertain probabilities: An info-gap application, Mechanical Systems and Signal Processing, vol. 48, pp.1-14. Pre-print.
  • Atamturktur, S., Liu, Z., Cogan, S., Juang, H., 2015, Calibration of imprecise and inaccurate numerical models considering fidelity and robustness: a multi-objective optimization-based approach, Structural and Multidisciplinary Optimization, 51 (3) pp. 659-671.
  • Atamturktur, S., Stevens, G., Cheng, Y., 2015, Clustered parameters of calibrated models when considering both fidelity and robustness, Conference Proceedings of the Society for Experimental Mechanics Series, Vol. 3, 2015, Article A30, pp.215-224. 2014 Annual Conference on Experimental and Applied Mechanics, Greenville, SC, 2-5 June 2014.
  • M. Pasquali, C.J. Stull and C.R. Farrar, 2015, Info-gap robustness of an input signal optimization algorithm for damage detection, Mechanical Systems and Signal Processing, vol.50-51: 1-10.
  • Yakov Ben-Haim, 2012, Modeling and design of a Hertzian contact: An info-gap approach, Journal of Strain Analysis for Engineering Design, 47(3): 153-162. Pre-print.
  • Izuru Takewaki, 2013, Toward greater building earthquake resilience using concept of critical excitation: A review, Sustainable Cities and Society, 9: 39-53,
  • Izuru Takewaki, 2013, Towards narrowing unexpected issues in future earthquakes: A review, Advances in Structural Engineering, 16(5): 931-946.
  • Alireza Soroudi and Turaj Amraee, 2013, Decision making under uncertainty in energy systems: State of the art, Renewable and Sustainable Energy Reviews, 28: 376-384.
  • Korteling, B., Dessai, S., Kapelan, Z., 2012, Using information-gap decision theory for water resources planning under severe uncertainty, Water Resources Management, 27 (4): 1149-1172.
  • Mascareñas, D., Stull, C., Farrar, C., 2012, Development of an info-gap-based path planner to enable nondeterministic low-observability mobile sensor nodes, Proceedings of SPIE – The International Society for Optical Engineering. Vol. 8387, 2012, Article number 838719.
  • Jim W. Hall, Robert J. Lempert, Klaus Keller, Andrew Hackbarth, Christophe Mijere, and David J. McInerney, 2012, Robust Climate Policies Under Uncertainty: A Comparison of Robust Decision Making and Info-Gap Methods, Risk Analysis, 32 (10): 1657-1672.
  • Christopher J. Stull and François M. Hemez, 2012, On the Use of Info-gap Decision Theory to Choose From Among Models of Varying Complexity, ICOSSAR2013. Abstract.
  • Christopher J. Stull, François M. Hemez and Charles R. Farrar, 2012, On assessing the robustness of structural health monitoring technologies, Structural Health Monitoring, Abstract.
  •  Tania Mirer and Yakov Ben-Haim, 2010, Reliability Assessment of Explosive Material Based on Penalty Tests: An Info-Gap Approach, Proceedings of the Institution of Mechanical Engineers, Part O, Journal of Risk and Reliability, vol. 224(4), pp.346-355. Pre-print.
  • Abstract
  • Matthew Grasinger, Daniel O’Malley, Velimir Vesselinov, and Satish Karra, 2016, Decision analysis for robust CO2 injection: Application of Bayesian-Information-Gap Decision Theory, International Journal of Greenhouse Gas Control, 49: 73-80. Abstract.
  • O’Malley, D. and Vesselinov, V.V., 2014, Groundwater remediation using the information gap decision theory,Water Resources Research,  50(1): 246-256.
  • Dylan R. Harp, Philip H. Stauffer, Daniel O’Malley, Zunsheng Jiao, Evan P. Egenolf, Terry A. Miller, Daniella Martinez, Kelsey A. Hunter, Richard S. Middleton, Jeffrey M. Bielicki, Rajesh Pawar, 2017, Development of robust pressure management strategies for geologic CO2 sequestration, International Journal of Greenhouse Gas Control, vol. 64, September 2017, Pages 43-59. Abstract.
  • Dylan R. Harp and Velimir V. Vesselinov, 2013, Contaminant remediation decision analysis using information gap theoy, Stochastic Environmental Research and Risk Assessment,27(1) pp.159-168. Abstract and full paper.
  • O’Malley, D. and Vesselinov, V.V., 2016, Bayesian-information-gap decision theory with an application to CO2 sequestration, Water Resources Research, vol. 49, pp.73-80. DOI: 10.1002/2015WR017413. The full paper.
  • Cao, W. , Li, Y., Zhai, Y., 2013, Active analysis method for stability of karst roof under foundation pile based on info-gap theory, Yanshilixue Yu Gongcheng Xuebao/Chinese Journal of Rock Mechanics and Engineering, 32(2): 393-400.
  • Yuanfu Tang, Jianqiao Chen and Junhong Wei, 2012, A Sequential Algorithm for Reliability-Based Robust Design Optimization Under Epistemic Uncertainty, ASME Journal of Mechanical Design, January 2012, Vol. 134.
  • Chen, J., Tang, Y., Wei, J. and Ge, R., 2012, Reliability robust design of structures under incomplete information, Yingyong Lixue Xuebao/Chinese Journal of Applied Mechanics, Volume 29(4): 404-409.
  • Plucinski, M., 2012, Application of the information-gap theory for evaluation of nearest neighbours method robustness to data uncertainty. Electrical Review, Vol. 88, Issue 10B, 2012, pp.272-275.
  • Wang, F. , Zhang, J., Wang, X., Wang, C., and Liu, Z., 2012, A non-probabilistic reliability analysis on uncertainties systems, Proceedings of IEEE 2012 Prognostics and System Health Management Conference,Article number 6228861.
  • Ramanujan, D., Bernstein, W.Z., Zhao, F., Ramani, K., 2011, Addressing uncertainties within product redesign for sustainability: A function based framework, Proceedings of the ASME Design Engineering Technical Conference, Volume 9, 28-31 August 2011, Washington, DC, pp.1057-1064.
  • Zhang, J., 2011, Newsboy problem under Knightian uncertainty, 8th International Conference on Service Systems and Service Management, ICSSSM’11, Tianjin, China, 25-27 June 2011.
  • Xu, R., Tang, H., and Xue, S., 2010, Structural robust design based on Info-Gap model, Modelling and Computation in Engineering – Proc Intl Conf Modelling and Computation in Engineering, CMCE 2010, Hong Kong, November 2010, Taylor and Francis, pp.67-71. ISBN: 978-041561516-7.
  • Wu, D., Gao, W. , Li, G., Tangaramvong, S., Tin-Loi, F., 2015, Robust assessment of collapse resistance of structures under uncertain loads based on Info-Gap model, Computer Methods in Applied Mechanics and Engineering, 2015, Vol. 285, pp.208-227.
  • Maugan, F., Cogan, S., Foltete, E., Buffe, F. and Gaetan Kerschen, 2014, Robust Design of Notching Profiles Under Epistemic Model Uncertainties, Proceedings of the 32nd IMAC, A Conference and Exposition on Structural Dynamics, 2014.
  • Maugan, F., Cogan, S., Foltête, E., Buffe, F., 2014, Robust design of notching profiles under epistemic model uncertainties,  26th International Conference on Noise and Vibration Engineering, ISMA 2014, Leuven, Belgium; 15-17 September 2014.
  • Maugan, F. Cogan, S. Foltête, E. Hot, A., 2015, Robust modal test design under epistemic model uncertainties, Conference Proceedings of the Society for Experimental Mechanics Series, Vol. 3, 2015, Article A29, pp.207-214. 2014 Annual Conference on Experimental and Applied Mechanics, Greenville, SC, 2-5 June 2014.
  • Pereiro, D., Cogan, S., Sadoulet-Reboul, E., Martinez, F., Salgado, O., 2014, Wind turbine power train robust model calibration with load uncertainties, 26th International Conference on Noise and Vibration Engineering, ISMA 2014, Leuven, Belgium; 15-17 September 2014.
  • Pereiro, D., Cogan, S., Sadoulet-Reboul, E. and Martinez, F., 2013, Robust model calibration with load uncertainties, 31st IMAC, A Conference on Structural Dynamics, Garden Grove, CA, 11-14 February 2013, vol. 5, pp.89-97.
  • Aurélien Hot, Scott Cogan, Emmanuel Foltete, Gaetan Kerschen, Fabrice Buffe, Jérôme Buffe, Stéphanie Behar, 2012, Design of uncertain prestressed space structures: an Info-gap approach, Proceedings of the SEM IMAC XXX Conference, Jan. 30 – Feb. 2, 2012, Jacksonville, FL USA.
  • Arkadeb Ghosal, Haibo Zeng, Marco Di Natale and Yakov Ben-Haim, Computing Robustness of FlexRay Schedules to Uncertainties in Design Parameters. Presented at Design, Automation & Test in Europe (DATE), Dreden, 8-12 March 2010, Dresden, Germany. pre-print
  • Li, K.  and Z. Yang, Study on non-probabilistic structural reliability method based on info-gap decision theory,Jixie Qiangdu/Journal of Mechanical Strength, vol.35, issue 2, April 2013, pages 174-178.
  • Li, K., Z. Yang and Z. Zhou, Non-probabilistic structural reliability model introduced restrictions on set expansion, Jixie Qiangdu/Journal of Mechanical Strength, vol.35, issue 3, June 2013, pages 258-262.
  • Li, K., Yang, Z., Sun, W., 2011, Non-probabilistic structural reliability model based on ellipsoidal-bound model with nonlinear expansion, Applied Mechanics and Materials, Vol. 65, pp.264-267.
  • Kendra L. Van Buren and Francois M. Hemez, 2014, Robust decision making applied to the NASA multidisciplinary uncertainty quantification challenge problem, 16th AIAA Non-Deterministic Approaches Conference, National Harbor, MD, 13-17 January 2014.Full paper.
  • Kendra L. Van Buren, Sez Atamturktur, Francois M. Hemez, 2013, Model selection through robustness and fidelity criteria: Modeling the dynamics of the CX-100 wind turbine blade, Mechanical Systems and Signal Processing, 43 (1-2) pp. 246-259.
  • Mollineaux, M.G., Van Buren, K.L., Hemez, F.M., Atamturktur, H.S., Simulating the Dynamics of the CX-100 Wind Turbine Blade: Part I, Model Development, Verification and Validation, American Society of Mechanical Engineers (ASME) Verification and Validation Symposium, Las Vegas, Nevada, May 2-4, 2012. Full paper.
  • Van Buren, K.L., Mollineaux, M.G., Hemez, F.M., Atamturktur, H.S., Simulating the Dynamics of the CX-100 Wind Turbine Blade: Part II, Model Selection Using a Robustness Criterion, American Society of Mechanical Engineers (ASME) Verification and Validation Symposium, Las Vegas, Nevada, May 2-4, 2012. Full paper.
  • Ashley Woods, Evgenii Matrosov, Julien J. Harou, 2011, Applying info-gap decision theory to water supply system planning: Application to the thames basin, Computer Control and the Water Industry (CCWI) Conference, Exeter, UK, Sept 2011. Pre-print.
  • Matrosov, E.S., Woods, A.M., Harou, J.J., 2013, Robust decision making and info-gap decision theory for water resource system planning, Journal of Hydrology, 2013, 494: 43-58.
  • S. Chinnappen-Rimer and G.P. Hancke, 2011, Actor coordination using info-gap decision theory in wireless sensor and actor networks, International Journal of Sensor Networks, Vol. 10, #4, pp.177-191.
  • Chinnappen-Rimer, S. and Hancke, G.P., 2009, Actor coordination in wireless sensor-actor networks, IEEE India Council Conference, INDICON 2009; Ahmedabad; 18-20 December 2009.
  • Yakov Ben-Haim and Scott Cogan, 2009, Linear Bounds on an Uncertain Non-Linear Oscillator: An Info-Gap Approach, Proceedings of the IUTAM Symposium on the Vibration Analysis of Structures with Uncertainties, St. Petersburg, Russia, 5-9 July 2009, pp.3-14. Pre-print.
  • Duncan, S.J., Paredis, C.J.J. and Bras, B., 2007, Applying info-gap theory to remanufacturing process selection affected by severe uncertainty, Proceedings of IMECE2007, 2007 ASME International Mechanical Engineering Congress and Exposition, November 11-15, 2007, Seattle.
  • Neil D. Sims, Graeme Manson and Brian Mann, 2009, Fuzzy stability analysis of regenerative chatter in milling, Journal of Sound and Vibration, to appear.
  • Manning, L.J., J.W. Hall, H.J. Fowler, C.G. Kilsby and C. Tebaldi, 2010, Using probabilistic climate change information from a multimodel ensemble for water resources assessment, Water Resources Research, VOL. 45, doi:10.1029/2007WR006674.
  • Hine, Daniel and Jim W. Hall, 2010, Information gap analysis of flood model uncertainties and regional frequency analysis, Water Resources Research, vol. 46, issue 1, W01514, doi:10.1029/2008WR007620.
  • Hall, J.W. and Harvey, H., 2009, Decision making under severe uncertainty for flood risk management: A case study of info-gap robustness analysis. Proc. Int. Conf. Science and Information Technologies for Sustainable Management of Aquatic Ecosystems, Concepcion, Chile, 12-16 January 2009.
  • Harvey, D.Y., Worden, K., Todd, M.D., 2014, Robust evaluation of time series classification algorithms for structural health monitoring, Health Monitoring of Structural and Biological Systems 2014, San Diego, CA, 10-13 March 2014. Proceedings of SPIE – The International Society for Optical Engineering, Volume 9064, 2014, Article number 90640K.
  • S.G. Pierce, K. Worden and G. Manson, 2006, A novel information-gap technique to assess reliability of neural network-based damage detection Journal of Sound and Vibration, 293: Issues 1-2, pp.96-111.
  • Miriam Zacksenhouse, Simona Nemets, Anna Yoffe, Yakov Ben-Haim, Mikhail Lebedev, Miguel Nicolelis, An info-gap approach to linear regression, 2006 IEEE International conference on Acoustics, Speech and Signal Processing, ICASSP 2006 May 14-19, 2006, Toulouse, France, Vol.3: 800-803.
  • Gaetan Kerschen, Keith Worden, Alexander F. Vakakis and Jean-Claude Golinval, 2006, Past, present and future of nonlinear system identification in structural dynamics Mechanical Systems and Signal Processing,Volume 20, Issue 3, Pages 505-592.
  • Chetwynd, D., Worden, K., Manson, G., 2006, An application of interval-valued neural networks to a regression problem, Proceedings of the Royal Society – Mathematical, Physical and Engineering Sciences, (Series A), 462 (2074) pp.3097-3114.
  • Matsuda, Y. and Y. Kanno, 2008, Robustness analysis of structures based on plastic limit analysis with uncertain loads, Journal of Mechanics of Materials and Structures, vol.3, pp.213-242.
  • Y. Kanno and I. Takewaki, 2006, Sequential semidefinite program for maximum robustness design of structures under load uncertainty, Journal of Optimization Theory and Applications, vol.130, #2, pp.265-287.
  • University of Newcastle upon Tyne and Halcrow. Early Conceptual Options, A framework for Uncertainty Analysis in TE2100, Environment Agency ECO Report R10X, June 2006, 42pp.
  • Jim Hall and Dimitri Solomatine, 2008, A framework for uncertainty analysis in flood risk management decisions, International Journal of River Basin Management, Vol.6, No. 2, pp.85–98.
  • D.J. Hine and J.W. Hall, Convex Analysis of Flood Inundation Model Uncertainties and Info-Gap Flood Management Decisions, ISSH – Stochastic Hydraulics 2005, 23 and 24 May 2005, Nijmegen, The Netherlands.
  • Meir Tahan and Joseph Z. Ben-Asher, 2005, Modeling and analysis of integration processes for engineering systems, Systems Engineering, Vol. 8, No. 1, pp.62-77.
  • Izuru Takewaki and Yakov Ben-Haim, 2005, Info-gap robust design with load and model uncertainties, Journal of Sound and Vibration, 288: 551-570.
  • Izuru Takewaki and Yakov Ben-Haim, 2007, Info-gap robust design of passively controlled structures with load and model uncertainties, appearing in Structural Design Optimization Considering Uncertainties, Yiannis Tsompanakis, Nikkos D. Lagaros and Manolis Papadrakakis, editors. Taylor and Francis Publishers.
  • Izuru Takewaki and Yakov Ben-Haim, 2005, Info-gap Robust Design with Load and Model Uncertainties, Journal of Sound and Vibration, 288: 551-570.Pre-print
  • Duncan, S.J., Aughenbaugh, J.M., Paredis, C.J.J., Bras, B. Considering the info-gap approach to robust decisions under severe uncertainty in the context of environmentally benign design, Proceedings of the ASME Design Engineering Technical Conference, 2006.
  • Duncan, S.J., Bras, B. and Paredis, C.J.J., 2008, An approach to robust decision making under severe uncertainty in life cycle design, Int. J. Sustainable Design, Vol. 1, No. 1, pp.45-59.
  • Duncan, S.J., Paredis, C.J.J., Bras, B., 2008, Applying info-gap theory to remanufacturing process selection affected by severe uncertainty, ASME International Mechanical Engineering Congress and Exposition, Proceedings Vol. 15, pp.293-300.
  • D. Lim, Y. S. Ong, Y. Jin, B. Sendhoff, and B. S. Lee, 2006, Inverse Multi-objective Robust Evolutionary Design, Genetic Programming and Evolvable Machines Journal, Vol. 7, No. 4, pp. 383-404.
  • P. Vinot, S. Cogan and V. Cipolla, 2005, A robust model-based test planning procedure Journal of Sound and Vibration, Volume 288, Issue 3, pp.571-585.
  • Kaihong Wang, 2005, Vibration Analysis of Cracked Composite Bending-torsion Beams for Damage Diagnosis, PhD thesis, Virginia Tech.
  • Francois M. Hemez and Yakov Ben-Haim, 2004, Info-gap robustness for the correlation of tests and simulations of a nonlinear transient, Mechanical Systems and Signal Processing, vol. 18, #6, pp.1443-1467.
  • Yakov Ben-Haim, 2004, Uncertainty, probability and information-gaps, Reliability Engineering and System Safety, 85: 249-266. Pre-print. 
  • Daniel Berleant, Karen Villaverde and Olga M. Koseheleva, 2008, Towards a more realistic representation of uncertainty: An approach motivated by Info-Gap Decision Theory, Fuzzy Information Processing Society, 2008. NAFIPS 2008. Annual Meeting of the North American Conference. DOI10.1109/NAFIPS.2008.4531297. Abstract.
  • M.-P. Cheong, D. Berleant, and G. B. Shebl’e,Information Gap Decision Theory as a tool for Strategic Bidding in Competitive Electricity Markets, 8th International Conference on Probabilistic Methods Applied to Power Systems, Iowa State University, Ames, lowa, September 12-16,2004.
  • Z.P. Qiu, P.C. Mueller and A. Frommer, 2004, The new nonprobabilistic criterion of failure for dynamical systems based on convex models, Mathematical and Computer Modelling, Vol. 40, Issues 1-2, pp.201-215.
  • Pascal Vinot, Scott Cogan and Gerard Lallement, 2003, Approche non-probabiliste de fiabilite basee sur les modeles convexes: A non-probabilistic reliability approach based on convex models, Mecanique & Industries,Volume 4, Issue 1, January-February 2003, Pages 45-50.
  • Attoh-Okine, N.O., 2002, Uncertainty analysis in structural number determination in flexible pavement design — A convex model approach, Construction and Building Materials, Volume 16, Issue 2, March 2002, Pages 67-71.
  • Yakov Ben-Haim, 2001, Info-gap value of information in model up-dating, Mechanical Systems and Signal Processing, 15: 457-474.
  • Yakov Ben-Haim, 1997, Robust reliability of structures, Advances in Applied Mechanics, vol. 33, pp.1-41.
  • S. Ganzerli and C.P. Pantelides, Optimum structural design via convex model superposition, Comput Struct,74, \#6 (2000), pp. 639-647.
  • C.P. Pantelides and B.C. Booth, Computer-aided design of optimal structures with uncertainty, Comput Struct,74, #3 (2000), pp. 293-307.
  • S. Ganzerli and C.P. Pantelides, Load and resistance convex models for optimum design, Struct Optim, 174 (1999), pp. 259-268.
  • C.P. Pantelides and S. Ganzerli, Design of trusses under uncertain loads using convex models, J Struc Eng ASCE, 124 (1998) (3), pp. 318-329.
  • Yakov Ben-Haim and Scott Cogan, 1998, Usability of mathematical models in mechanical decision processes,Mechanical Systems and Signal Processing, 12(1): 121-134. Pre-print.
  • Keith W. Hipel and Yakov Ben-Haim, 1999, Decision making in an uncertain world: Information-gap modelling in water resources management, IEEE Trans., Systems, Man and Cybernetics, Part C: Applications and Reviews, 29: 506-517. Pre-print.
  • H.E. Lindberg, 1991, Dynamic response and buckling failure measures for structures with bounded and random imperfections, Trans ASME J Appl Mech, vol. 58, pp.1092–1094.
  • H.E. Lindberg, 1992, An evaluation of convex modelling for multimode dynamic buckling, Trans ASME J Appl Mech, vol. 59, pp.929-936.
  • H.E. Lindberg, 1992, Convex models for uncertain imperfection control in multimode dynamic buckling, Trans ASME J Appl Mech, vol. 59, pp.937-945.
  • Yakov Ben-Haim and Isaac Elishakoff, 1990, Convex Models of Uncertainty in Applied Mechanics, Elsevier, Amsterdam.
  • Yakov Ben-Haim, 1985, The Assay of Spatially Random Material, Kluwer Academic Publishers, Dordrecht, Holland.
  • Zhiping Qiu, Lihong Ma and Xiaojun Wang, 2006, Ellipsoidal-bound convex model for the non-linear buckling of a column with uncertain initial imperfection, International Journal of Non-Linear Mechanics, to appear.
  • Yakov Ben-Haim, Genda Chen and T.T. Soong, 1996, Maximum Structural Response Using Convex Models, ASCE J. Engineering Mechanics, 122: 325-333.
  • Yakov Ben-Haim, 1995, Convex models of uncertainty for small initial imperfections of non-linear structures,Zeitschrift fur Angewandte Mathematik und Mechanik (ZAMM), 75: 901-908.
  • Yakov Ben-Haim, 1993, Convex models for uncertainty in radial pulse buckling of shells, ASME Journal of Applied Mechanics, 60: 683-688.
  • Xiao-Ming Zhang and Han Ding, 2008, Design optimization for dynamic response of vibration mechanical system with uncertain parameters using convex model, Journal of Sound and Vibration, to appear.
  • Chen, S.H., K.J. Guo and Y.D. Chen, 2004, A method for estimating upper and lower bounds of eigenvalues of closed-loop systems with uncertain parameters, Journal of Sound and Vibration, Vol.276, Issues 3-5, 22 September 2004, pp.527-539.
  • Yakov Ben-Haim, 1998, Reliability of Vibrating Structures With Uncertain Inputs. Shock and Vibration Digest, 30: 106-113. Pre-print.
  • Yakov Ben-Haim, A non-probabilistic concept of reliability, Structural Safety, 14:227-245 (1994). Link to a pre-print.