Abstract
This paper investigates the filtering problem for a class of stochastic jump systems over network communication channel. The plant under consideration is a class of Markovian jump systems with state-dependent noise. The network communication links between the plant and filter are impact, and the effects of network-induced transmission delay and sensor saturation are taken into simultaneous consideration. The main difficulty in this filtering problem is that there exists transmission delay in the received mode signals of the filter side, which results in that the real-time information of jump mode \(r_{k}\) is not accessible. To overcome this obstacle, in this paper, an state space augmentation approach is developed for the jumping mode r(k), based on which the resulting filtering dynamics is modeled as a new Markovian jump system with two jumping parameters. A mode-dependent filtering scheme is then developed to guarantee that the resulting overall system is stochastically stable with a guaranteed \(H_{\infty }\) performance index. Finally, a numerical example of pulse-width-modulation-driven boost converter is included to show the effectiveness of the networked filtering design strategy.
Similar content being viewed by others
References
P. Balasubramaniam, V. Revathi, \(H_{\infty }\) filtering for Markovian switching system with mode-dependent time-varying delays. Circuits Syst. Signal Process. 33(2), 347–369 (2014)
D. Corona, J. Buisson, B. De Schutter, A. Giua, Stabilization of switched affine systems: an application to the buck-boost converter, in Proceedings of the American Control Conference (New York, 2007), pp. 6037–6042
W. Ding, Z. Mao, B. Jiang, W. Chen, Fault detection for a class of nonlinear networked control systems with Markov transfer delays and stochastic packet drops. Circuits Syst. Signal Process. 34(4), 1211–1231 (2015)
H. Dong, Z. Wang, D. Ho, H. Gao, Robust \( H_{\infty }\) fuzzy output-feedback control with multiple probabilistic delays and multiple missing measurements. IEEE Trans. Fuzzy Syst. 18(4), 712–725 (2010)
H. Dong, Z. Wang, J. Lam, H. Gao, Fuzzy-model-based robust fault detection with stochastic mixed time delays and successive packet dropouts. IEEE Trans. Syst. Man Cybern. B Cybern. 42(2), 365–376 (2012)
H. Gao, T. Chen, \(H_{\infty }\) estimation for uncertain systems with limited communication capacity. IEEE Trans. Automat. Contr. 52(11), 2070–2084 (2007)
L. Hou, G. Zong, W. Zheng, Y. Wu, Exponential \(l_2\)–\(l_{\infty }\) control for discrete-time switching markov jump linear systems. Circuits Syst. Signal Process. 32(6), 2745–2759 (2013)
B. Jiang, P. Shi, Z. Mao, Sliding mode observer-based fault estimation for nonlinear networked control systems. Circuits Syst. Signal Process. 30(1), 1–16 (2011)
Y. Kang, D. Zhai, G. Liu, Y. Zhao, On input-to-state stability of switched stochastic nonlinear systems under extended asynchronous switching. IEEE Trans. Cybern. 46(5), 1092–1105 (2016)
Y. Kang, D. Zhai, G. Liu, Y. Zhao, P. Zhao, Stability analysis of a class of hybrid stochastic retarded systems under asynchronous switching. IEEE Trans. Automat. Contr. 59(6), 1511–1523 (2014)
V. Kolmanovskii, A. Myshkis, Applied Theory of Functional Differential Equations (Kluwer, Dordrecht, 1992)
H. Li, L. Bai, L. Wang, Q. Zhou, H. Wang, Adaptive neural control of uncertain nonstrict-feedback stochastic nonlinear systems with output constraint and unknown dead zone. IEEE Trans. Syst. Man Cybern. Syst. (2016). doi:10.1109/TSMC.2016.2605706
H. Li, P. Shi, D. Yao, Adaptive sliding mode control of Markov jump nonlinear systems with actuator faults. IEEE Trans. Automat. Contr. (2016). doi:10.1109/TAC.2016.2588885
H. Li, P. Shi, D. Yao, L. Wu, Observer-based adaptive sliding mode control for nonlinear Markovian jump systems. Automatica 64, 133–142 (2016)
H. Li, C. Wu, X. Jing, L. Wu, Fuzzy tracking control for nonlinear networked systems. IEEE Trans. Cybern. (2016). doi:10.1109/TCYB.2016.2594046
R. Lu, H. Cheng, J. Bai, Fuzzy-model-based quantized guaranteed cost control of nonlinear networked systems. IEEE Trans. Fuzzy Syst. 23(3), 567–575 (2015)
R. Lu, Y. Xu, A. Xue, J. Zheng, Networked control with state reset and quantized measurements: observer-based case. IEEE Trans. Industr. Electron. 60(11), 5206–5213 (2013)
W. Ma, B. Ding, H. Yang, Q. Zhang, Mean-square dissipativity of numerical methods for a class of stochastic neural networks with fractional Brownian motion and jumps. Neurocomputing 166, 256–264 (2015)
B. Niu, H.R. Karimi, H. Wang, Y. Liu, Adaptive output-feedback controller design for switched nonlinear stochastic systems with a modified average dwell-time method. IEEE Trans. Syst. Man Cybern. Syst. (2016). doi:10.1109/TSMC.2016.2597305
B. Niu, J. Zhao, Barrier Lyapunov functions for the output tracking control of constrained nonlinear switched systems. Syst. Control Lett. 62(10), 963–971 (2013)
P. Shi, X. Luan, F. Liu, \(H_{\infty }\) filtering for discrete-time systems with stochastic incomplete measurement and mixed delays. IEEE Trans. Industr. Electron. 59(6), 2732 (2012)
P. Shi, Y. Xia, G.P. Liu, D. Rees, On designing of sliding-mode control for stochastic jump systems. IEEE Trans. Autom. Control 51(1), 97–103 (2006)
V. Singh, New approach to stability of 2-D discrete systems with state saturation. Signal Process. 92(1), 240–247 (2012)
Z. Wang, Y. Liu, X. Liu, Exponential stabilization of a class of stochastic system with Markovian jump parameters and mode-dependent mixed time-delays. IEEE Trans. Autom. Control 55(7), 1656–1662 (2010)
J. Xiong, J. Lam, Stabilization of discrete-time Markovian jump linear systems via time-delayed controllers. Automatica 42(5), 747–753 (2006)
Y. Xu, R. Lu, H. Peng, K. Xie, A. Xue, Asynchronous dissipative state estimation for stochastic complex networks with quantized jumping coupling and uncertain measurements. IEEE Trans. Neural Netw. Learn. Syst. (2015). doi:10.1109/TNNLS.2015.2503772
M. Yan, Y. Shi, Robust discrete-time sliding mode control for uncertain systems with time-varying state delay. Control Theory Appl. 2(8), 662–674 (2008)
B. Zhang, W. Zheng, S. Xu, Filtering of Markovian jump delay systems based on a new performance index. IEEE Trans. Circuits Syst. I Regul. Pap. 60(5), 1250–1263 (2013)
L. Zhang, Y. Leng, P. Colaneri, Stability and stabilization of discrete-time semi-Markov jump linear systems via semi-Markov kernel approach. IEEE Trans. Autom. Control 61(2), 503–508 (2016)
L. Zhang, Z. Ning, P. Shi, Input-output approach to control for fuzzy Markov jump systems with time-varying delays and uncertain packet dropout rate. IEEE Trans. Cybern. 45(11), 2449–2460 (2015)
L. Zhang, Z. Ning, Z. Wang, Distributed filtering for fuzzy time-delay systems with packet dropouts and redundant channels. IEEE Trans. Syst. Man Cybern. Syst. 46(4), 559–572 (2016)
L. Zhang, Y. Zhu, P. Shi, Y. Zhao, Resilient asynchronous \(H_{\infty }\) filtering for Markov jump neural networks with unideal measurements and multiplicative noises. IEEE Trans. Cybern. 45(12), 2840–2852 (2015)
L. Zhang, S. Zhuang, R. Braatz, Switched model predictive control of switched linear systems: feasibility, stability and robustness. Automatica 67, 8–21 (2016)
L. Zhang, S. Zhuang, P. Shi, Non-weighted quasi-time-dependent \(H_{\infty }\) filtering for switched linear systems with persistent dwell-time. Automatica 54, 201–209 (2015)
Q. Zhou, H. Li, L. Wu, C. Ahn, Adaptive fuzzy control of nonstrict-feedback nonlinear systems with unmodeled dynamics and input saturation using small-gain approach. IEEE Trans. Syst. Man Cybern. (2016). doi:10.1109/TSMC.2016.2586108
Q. Zhou, P. Shi, Y. Tian, M. Wang, Approximation-based adaptive tracking control for MIMO nonlinear systems with input saturation. IEEE Trans. Cybern. 45(10), 2119–2128 (2015)
Acknowledgements
This work was supported by the New Century Excellent Talents Program of the Ministry of Education of China (NCET-13-0170), the National Natural Science Foundation of China (61473096, 61273096, 61333003, 91438202) and the Open Fund of National Defense Key Discipline Laboratory of Micro-Spacecraft Technology (HIT.KLOF.MST.201505).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Liu, M., Yang, W. Network-Based Filtering for Stochastic Markovian Jump Systems with Application to PWM-Driven Boost Converter. Circuits Syst Signal Process 36, 3071–3097 (2017). https://doi.org/10.1007/s00034-016-0452-y
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00034-016-0452-y