Have a personal or library account? Click to login
State Filtering for Networked Control Systems Subject to Switching Disturbances Cover

State Filtering for Networked Control Systems Subject to Switching Disturbances

Open Access
|Oct 2018

References

  1. Alouani, A., Rice, T. and Blair, W. (1992). A two-stage filter for state estimation in the presence of dynamical stochastic bias, Proceedings of the American Control Conference, Chicago, IL, USA, pp. 1784-1788.10.23919/ACC.1992.4792418
  2. Amin, S., C´ardenas, A.A. and Sastry, S.S. (2009). Safe and secure networked control systems under denial-of-service attacks, Proceedings of the 12th International Conference on HSCC ’09, San Francisco, CA, USA, pp. 31-45.10.1007/978-3-642-00602-9_3
  3. Ben Hmida, F., Kh´emiri, K., Ragot, J. and Gossa, M. (2010). Robust filtering for state and fault estimation of linear stochastic systems with unknown disturbance, Mathematical Problems in Engineering 2010, Article ID: 591639.10.1155/2010/591639
  4. Bixiang, T., Alvergue, L. and Guoxiang, G. (2015). Secure networked control systems against replay attacks without injecting authentication noise, Proceedings of the American Control Conference, Chicago, IL, USA, pp. 6028-6033.10.1109/ACC.2015.7172286
  5. Blanke, M., Kinnaert, M., Lunze, J., Staroswiecki, M. and Schr¨oder, J. (2006). Diagnosis and Fault-Tolerant Control, Springer, New York, NY.
  6. Censi, A. (2011). Kalman filtering with intermittent observations: Convergence for semi-Markov chains and an intrinsic performance measure, IEEE Transactions on Automatic Control 56(2): 376-381.10.1109/TAC.2010.2097350
  7. Chabir, K., Sauter, D., Al-Salami, I.-M. and Abdelkrim, M.-N. (2010). Two-stage Kalman filter for simultaneous fault and delay estimation in networked control systems, Proceedings of the 18th Mediterranean Conference on Control and Automation, Marrakech, Morocco, pp. 249-254.10.1109/MED.2010.5547676
  8. Chabir, K., Sauter, D., Ben Gayed, M.-K. and Abdelkrim, M.-N. (2008). Design of an adaptive Kalman filter for fault detection of networked control systems, Proceedings of the 16th Mediterranean Conference on Control and Automation, Ajaccio, France, pp. 1124-1129.10.1109/MED.2008.4602275
  9. Chabir, K., Sid, M.A. and Sauter, D. (2014). Fault diagnosis in a networked control system under communication constraints: A quadrotor application, International Journal of Applied Mathematics and Computer Science 24(4): 809-820, DOI: 10.2478/amcs-2014-0060.10.2478/amcs-2014-0060
  10. Chen, J. and Patton R.J. (1996). Optimal filtering and robust fault diagnosis of stochastic systems with unknown disturbances, IEE Proceedings-Control Theory and Applications 143(1): 31-36.10.1049/ip-cta:19960059
  11. Darouach, M. and Zasadzinski, M. (1997). Unbiased minimum variance estimation for systems with unknown exogenous inputs, Automatica 33(4): 717-719.10.1016/S0005-1098(96)00217-8
  12. Darouach, M., Zasadzinski, M. and Keller, J. (1992). State estimation for discrete systems with unknown inputs using state estimation of singular systems, Proceedings of the American Control Conference, Chicago, IL, USA, pp. 3014-3015.10.23919/ACC.1992.4792700
  13. Fang, H., Shi, Y. and Yi, J. (2011). On stable simultaneous input and state estimation for discrete-time linear systems, International Journal of Adaptive Control and Signal Processing 25(8): 671-686.10.1002/acs.1230
  14. Friedland, B. (1969). Treatment of bias in recursive filtering, IEEE Transactions on Automatic Control 14(4): 359-367.10.1109/TAC.1969.1099223
  15. Gillijns, S. and De Moor, B. (2007). Unbiased minimum-variance input and state estimation for linear discrete-time systems with direct feedthrough, Automatica 43(5): 934-937.10.1016/j.automatica.2006.11.016
  16. Hespanha, J.P., Naghshtabrizi, P. and Xu, Y. (2007). A survey of recent results in networked control systems, Proceedings of the IEEE 95(1): 138.10.1109/JPROC.2006.887288
  17. Hou, M. and Patton, R. (1998). Optimal filtering for systems with unknown inputs, IEEE Transactions on Automatic Control 43(3): 445-449.10.1109/9.661621
  18. Hsieh, C.-S. and Chen, F.-C. (1999). Optimal solution of the two-stage Kalman estimator, IEEE Transactions on Automatic Control 44(1): 194-199.10.1109/9.739135
  19. Kailath, T., Sayed, A.H. and Hassibi, B. (2000). Linear Estimation, Prentice-Hall, Englewood Cliffs, NJ.
  20. Keller, J.-Y., Chabir, K. and Sauter, D. (2016). Input reconstruction for networked control systems subject to deception attacks and data losses on control signals, International Journal of Systems Science 47(4): 814-820.10.1080/00207721.2014.906683
  21. Keller, J.-Y. and Sauter, D. (2011). Restricted diagonal detection filter and updating strategy for multiple fault detection and isolation, International Journal of Adaptive Control and Signal Processing 25(1): 68-87.10.1002/acs.1210
  22. Keller, J.-Y. and Sauter, D. (2013). Kalman filter for discrete-time stochastic linear systems subject to intermittent unknown inputs, IEEE Transactions on Automatic Control 58(7): 1882-1887.10.1109/TAC.2013.2264739
  23. Kim, K.H., Lee, J.G. and Park, C.G. (2006). Adaptive two-stage Kalman filter in the presence of unknown random bias, International Journal of Adaptive Control and Signal Processing 20(7): 305-319.10.1002/acs.900
  24. Kim, Y. and Park, J. (2003). Noise response of detection filters: Relation between detection space and completion space, IEE Proceedings-Control Theory and Applications 150(4): 443-447.10.1049/ip-cta:20030684
  25. Kitanidis, P. K. (1987). Unbiased minimum-variance linear state estimation, Automatica 23(6): 775-778.10.1016/0005-1098(87)90037-9
  26. Liu, X. and Goldsmith, A. (2004). Kalman filtering with partial observation losses, Proceedings of the 43rd IEEE Conference on Decision and Control, Nassau, The Bahamas, Vol. 4, pp. 4180-4186.
  27. Liu, Y., Ning, P. and Reiter, M.K. (2009). False data injection attacks against state estimation in electric power grids, Proceedings of the 16th ACM Conference on Computer and Communications Security, New York, NY, USA, pp. 21-32.10.1145/1653662.1653666
  28. Mo, Y. and Sinopoli, B. (2009). Secure control against replay attacks, Proceedings of the 47th Annual Allerton Conference on Communication, Control, and Computing, Monticello, IL, USA, pp. 911-918.10.1109/ALLERTON.2009.5394956
  29. Park, J., Halevi, Y. and Rizzoni, G. (1994). A new interpretation of the fault-detection filter. Part 2: The optimal detection filter, International Journal of Control 60(6): 1339-1351.10.1080/00207179408921525
  30. Patton, R.J. and Chen, J. (1999). Robust Model-Based Fault Diagnosis for Dynamic Systems, Kluwer Academic Publishers, Boston, MA/London.
  31. Sandberg, H., Amin, S. and Johansson, K. (2015). Cyberphysical security in networked control systems: An introduction to the issue, IEEE Control Systems Magazine 35(1): 20-23.10.1109/MCS.2014.2364708
  32. Sandberg, H., Amin, S. and Johansson, K. (2016). Detection of intermittent faults for linear stochastic systems subject to time-varying parametric perturbations, IET Control Theory and Applications 10(8): 903-910.10.1049/iet-cta.2015.1086
  33. Schenato, L., Sinopoli, B., Franceschetti, M., Poolla, K. and Sastry, S.S. (2007). Foundations of control and estimation over lossy networks, Proceedings of the IEEE 95(1): 163-187.10.1109/JPROC.2006.887306
  34. Simon, D. (2006). Optimal State Estimation: Kalman, Hinfinity, and Nonlinear Approaches, Wiley, Hoboken, NJ.10.1002/0470045345
  35. Sinopoli, B., Schenato, L., Franceschetti, M., Poolla, K., Jordan, M.I. and Sastry, S.S. (2004). Kalman filtering with intermittent observations, IEEE Transactions on Automatic Control 49(9): 1453-1464.10.1109/TAC.2004.834121
  36. Smith, R.S. (2011). A decoupled feedback structure for covertly appropriating networked control systems, Proceedings of the IFAC World Congress, Milan, Italy, pp. 90-95.10.3182/20110828-6-IT-1002.01721
  37. Teixeira, A., Sandberg, H. and Johansson, K.H. (2010). Networked control systems under cyber attacks with applications to power networks, Proceedings of the American Control Conference, Baltimore, MD, USA, pp. 3690-3696.10.1109/ACC.2010.5530638
  38. Zhou, D.-H., Shi, J. and He, X. (2014). Review of intermittent fault diagnosis techniques for dynamic systems, Acta Automica Sinica 40(2): 161-171.
DOI: https://doi.org/10.2478/amcs-2018-0036 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
Language: English
Page range: 473 - 482
Submitted on: Feb 20, 2017
Accepted on: Apr 4, 2018
Published on: Oct 3, 2018
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2018 Karim Chabir, Taouba Rhouma, Jean Yves Keller, Dominique Sauter, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.