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一类线性Markov跳跃区间时滞系统的鲁棒??∞故障检测滤波器设计

, PP. 712-716

Keywords: Markov,跳跃系统,故障检测滤波器,区间时变时滞,自适应观测器

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Abstract:

研究一类线性Markov跳跃区间时滞系统的鲁棒??∞故障检测滤波器设计问题.采用基于自适应观测器的故障检测滤波器作为残差产生器,将鲁棒H∞故障检测滤波器设计问题归结为随机H∞滤波问题.应用Lyapunov-Krasovskii方法,通过引入松弛矩阵推导证明了问题可解的时滞依赖充分条件,并进一步通过求解线性矩阵不等式给出了故障检测滤波器参数矩阵的解.仿真算例验证了所提出方法的有效性.

References

[1]  Chen J, Patton R J. Robust model-based fault diagnosis for dynamic systems [M]. Boston: Kluwer Academic Publishers, 1999. [2] Zhong M, Ding S X, Lam J, et al. An LMI approach to design robust fault detection filter for uncertain LTI systems [J]. Automatica, 2003, 39(3): 543-550. [3] Ding S X. Model-based fault diagnosis techniques [M]. Berlin: Springer-Verlag, 2008. [4] Li X B, Zhou K M. A time domain approach to robust fault detection for linear time-varying systems [J]. Automatica, 2009, 45(1): 94-102. [5] Jiang B, Staroswiecki M, Cocquempot V. Fault accommodation for nonlinear dynamic systems [J]. IEEE Trans. Automatic Control, 2006, 51(9): 1578-1583. [6] Zhang K, Jiang B, Shumsky A. A new criterion of fault estimation for neutral delay systems using adaptive observer [J]. Acta Automatica Sinica, 2009, 35(1): 85-91. [7] Zhong M, Lam J, Ding S X, et al. Robust fault detection of Markovian jump systems [J]. Circuits Systems Signal Processing, 2004, 23(5): 387-407. [8] Gagliardi G, Casavola A, Famularo D. A fault detection filter design method for Markov jump linear parameter varying systems [C]. Proceedings of the 7th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes, Barcelona, Spain, June 2009, 426-431. [9] Zhong M, Ye H, Shi P, et al. Fault detection for Markovian jump systems [J]. IEE Proc. Control Theory Appl., 2005, 152(4): 397-402. [10] Zhang L, Boukas E, Baron L. Fault detection for discrete-time Markov jump linear systems with partially known transition probabilities [C]. Proceedings of the 47th Conference on Decision and Control, Cancun, Mexico, Dec. 2008, 1054-1059. [11] Meskin N, Khorasani K. Fault detection and isolation of discrete-time Markovian jump linear systems with application to a network of multi-agent systems having imperfect communication channels [J]. Automatica, 2009, 45(9): 2032-2040. [12] Meskin N, Khorasani K. Unobservability subspaces for continuous-time Markovian jump systems with application to fault diagnosis [C]. Proceedings of the 7th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes, Barcelona, Spain, June 2009, 426-431. [13] 王红茹, 王常虹, 高会军. 时滞离散马尔可夫跳跃系统的鲁棒故障检测[J]. 控制与决策, 2006, 21(7): 796-800. (Wang H, Wang C, Gao H. Robust Fault Detection for Discrete-Time Markovian Jump Systems with Time- Delays [J]. Control and Decision, 2006, 21(7): 796-800.) [14] Luan X, He S, Liu F. Neural network-based robust fault detection for nonlinear jump systems [J]. Chaos, Solitons and Fractals, 2009, 42(2): 760-766. [15] Mao Z, Jiang B, Shi P. H∞ fault detection filter design for networked control systems modeled by discrete Markovian jump systems [J]. IET Control Theory Appl., 2007, 1(5): 1336-1343. [16] Han Q L. A new delay-dependent stability criterion for linear neutral systems with norm-bounded uncertainties in all systems matrices [J]. Int. J. Systems Science, 2005, 36(8): 469-475.

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