Distributed design for active fault diagnosis

References

• Ashari, A. E., Nikoukhah, R., & Campbell, S. L. (2012). Active robust fault detection in closed-loop systems: Quadratic optimization approach. IEEE Transactions on Automatic Control, 57(10), 2532–2544. https://doi.org/10.1109/TAC.2012.2188430
   Web of Science ®Google Scholar
• Bar-Shalom, Y., Li, X. R., & Kirubarajan, T. (2001). Estimation with applications to tracking and navigation. John Wiley & Sons.
   Google Scholar
• Bertsekas, D. P. (2000). Dynamic programming and optimal control (2nd ed., Vol. I). Athena Scientific.
   Google Scholar
• Bertsekas, D. P., & Shreve, S. E. (1996). Stochastic optimal control: The discrete-time case. Athena Scientific.
   Google Scholar
• Blackmore, L., Rajamanoharan, S., & Williams, B. C. (2008). Active estimation for jump Markov linear systems. IEEE Transactions on Automatic Control, 53(10), 2223–2236. https://doi.org/10.1109/TAC.2008.2006100
   Web of Science ®Google Scholar
• Blanke, M., Kinnaert, M., Lunze, J., & Staroswiecki, M. (2016). Diagnosis and fault-tolerant control (3rd ed.). Springer-Verlag.
   Google Scholar
• Campbell, S. L., & Nikoukhah, R. (2004). Auxiliary signal design for failure detection. Princeton University Press.
   Google Scholar
• Ferrari, R. M. G., Parisini, T., & Polycarpou, M. M. (2012). Distributed fault detection and isolation of large-scale discrete-time nonlinear systems: An adaptive approximation approach. IEEE Transactions on Automatic Control, 57(2), 275–290. https://doi.org/10.1109/TAC.2011.2164734
   Web of Science ®Google Scholar
• Gustafsson, F. (2009). Automotive safety systems. IEEE Signal Processing Magazine, 26(4), 32–47. https://doi.org/10.1109/MSP.2009.932618
   Web of Science ®Google Scholar
• Harirchi, F., Yong, S. Z., Jacobsen, E., & Ozay, N. (2017). Active model discrimination with applications to fraud detection in smart buildings. IFAC Papers Online, 50(1), 9527–9534. https://doi.org/10.1016/j.ifacol.2017.08.1616. (20th IFAC World Congress)
   Google Scholar
• Heirung, T. A. N., & Mesbah, A. (2019). Input design for active fault diagnosis. Annual Reviews in Control, 47(9), 35–50. https://doi.org/10.1016/j.arcontrol.2019.03.002
   Web of Science ®Google Scholar
• Isermann, R. (2011). Fault-diagnosis applications. Springer.
   Google Scholar
• Katipamula, S., & M. R. Brambley (2011). Review article: Methods for fault detection, diagnostics, and prognostics for building systems – a review, part II. HVAC&R Research, 11(2), 169–187. https://doi.org/10.1080/10789669.2005.10391133
   Google Scholar
• Nelles, O. (2014). Nonlinear system identification: From classical approaches to neural networks and fuzzy models. Springer.
   Google Scholar
• Niemann, H., & Poulsen, N. K. (2014, June). Active fault detection in MIMO systems. In Proceedings of the 2014 American Control Conference (pp. 1975–1980). Institute of Electrical and Electronics Engineers Inc.
   Google Scholar
• Niemann, H. H. (2006). A setup for active fault diagnosis. IEEE Transactions on Automatic Control, 51(9), 1572–1578. https://doi.org/10.1109/TAC.2006.878724
   Web of Science ®Google Scholar
• Paulson, J. A., Martin-Casas, M., & Mesbah, A. (2017). Input design for online fault diagnosis of nonlinear systems with stochastic uncertainty. Industrial & Engineering Chemistry Research, 56(34), 9593–9605. https://doi.org/10.1021/acs.iecr.7b00602
   Web of Science ®Google Scholar
• Punčochář, I, & Straka, O. (2019). Non-centralized active fault diagnosis for stochastic systems. In 2019 American control conference. Institute of Electrical and Electronics Engineers Inc.
   Google Scholar
• Punčochář, I., Široký, J., & Šimandl, M. (2015). Constrained active fault detection and control. IEEE Transactions on Automatic Control, 60(1), 253–258. https://doi.org/10.1109/TAC.2014.2326274
   Web of Science ®Google Scholar
• Raimondo, D. M., Boem, F., Gallo, A., & Parisini, T. (2016). A decentralized fault-tolerant control scheme based on active fault diagnosis. In Proceedings of the 55th IEEE conference on decision and control (pp. 2164–2169). Institute of Electrical and Electronics Engineers Inc.
   Google Scholar
• Raimondo, D. M., G. R. Marseglia, Braatz, R. D., & Scott, J. K. (2016). Closed-loop input design for guaranteed fault diagnosis using set-valued observers. Automatica, 74(2), 107–117. https://doi.org/10.1016/j.automatica.2016.07.033
   Web of Science ®Google Scholar
• Scott, J. K., Findeisen, R., Braatz, R. D., & Raimondo, D. M. (2014). Input design for guaranteed fault diagnosis using zonotopes. Automatica, 50(6), 1580–1589. https://doi.org/10.1016/j.automatica.2014.03.016
   Web of Science ®Google Scholar
• Škach, J., Punčochář, I., & Lewis, F. L. (2016). Optimal active fault diagnosis by temporal-difference learning. In Proceedings of the 55th IEEE conference on decision and control (pp. 2146–2151). Institute of Electrical and Electronics Engineers Inc.
   Google Scholar
• Stoustrup, J., & Niemann, H. H. (2010). Active fault diagnosis by controller modification. International Journal of Systems Science, 41(8), 925–936. https://doi.org/10.1080/00207720903470197
   Web of Science ®Google Scholar
• Straka, O., & Punčochář, I. (2019). Decentralized and distributed active fault diagnosis for stochastic systems with indirect observations. In 22nd international conference on information fusion. Institute of Electrical and Electronics Engineers Inc.
   Google Scholar
• Straka, O., & Punčochář, I. (2020a). Decentralized and distributed active fault diagnosis based on interactive multiple models. International Journal of Applied Mathematics and Computer Science, 30(2), 239–249. https://doi.org/10.34768/amcs-2020-0019
   Web of Science ®Google Scholar
• Straka, O., & Punčochář, I. (2020b). Distributed active faults diagnosis for systems with conditionally dependent faults. IFAC Papers Online, 53(2), 13613–13618. https://doi.org/10.1016/j.ifacol.2020.12.857
   Google Scholar
• Straka, O., & Punčochář, I. (2020c). Hierarchical active fault diagnosis for stochastic large scale systems with coupled faults. In 2020 IEEE 23rd international conference on information fusion (p. 1–8). Institute of Electrical and Electronics Engineers Inc.
   Google Scholar
• Watanabe, K., & Tzafestas, S. G. (1993). Generalized pseudo-Bayes estimation and detection for abruptly changing systems. Journal of Intelligent and Robotic Systems, 7(1), 95–112. https://doi.org/10.1007/BF01258214
   Web of Science ®Google Scholar
• Yao, L., Li, L., Guan, Y., & Wang, H. (2019). Fault diagnosis and fault-tolerant control for non-Gaussian nonlinear stochastic systems via entropy optimisation. International Journal of Systems Science, 50(13), 2552–2564. https://doi.org/10.1080/00207721.2019.1671535
   Web of Science ®Google Scholar