Abstract
This article presents a singular system approach to the reliable \(\mathscr {H}_{\infty }\) static output feedback (SOF) control for continuous-time nonlinear systems with Markovian jumping actuator faults. The approximation of nonlinear plants is carried out in a Takagi–Sugeno fuzzy-affine (FA) environment, and the Markov chain is adopted to characterize the actuator failure phenomenon. Specifically, by utilizing a singular model transformation strategy, the traditional closed-loop system is converted into a singular FA system. With the construction of a mode-dependent Lyapunov function, and invoking S-procedure and some convexifying techniques, the reliable piecewise SOF controller design is then carried out for the underlying systems via a convex program. An illustrative example is finally given to show the efficacy of the developed method.
Similar content being viewed by others
References
D.J. Choi, P. Park, \(\fancyscript {H}_{\infty }\) state-feedback controller design for discrete-time fuzzy systems using fuzzy weighting-dependent Lyapunov functions. IEEE Trans. Fuzzy Syst. 11(2), 271–278 (2003)
G. Feng, Analysis and Synthesis of Fuzzy Control Systems—A Model Based Approach (CRC, Boca Raton, 2010)
G. Feng, Stability analysis of discrete-time fuzzy dynamic systems based on piecewise Lyapunov functions. IEEE Trans. Fuzzy Syst. 12(1), 22–28 (2004)
H. Gassara, A. El Hajjaji, M. Chaabane, Observer-based robust \({\fancyscript {H}}_{\infty }\) reliable control for uncertain T–S fuzzy systems with state time delay. IEEE Trans. Fuzzy Syst. 18(6), 1027–1040 (2010)
T.M. Guerra, L. Vermeiren, LMI-based relaxed nonquadratic stabilization conditions for nonlinear systems in the Takagi–Sugeno’s form. Automatica 40(5), 823–829 (2004)
J. Huang, Y. Shi, X. Zhang, Active fault tolerant control systems by the semi-Markov model approach. Int. J. Adapt. Control Signal Process. 28(9), 833–847 (2014)
M. Johansson, A. Rantzer, K.-E. Årzén, Piecewise quadratic stability of fuzzy systems. IEEE Trans. Fuzzy Syst. 7(6), 713–722 (1999)
A. Kruszewski, R. Wang, T.M. Guerra, Nonquadratic stabilization conditions for a class of uncertain nonlinear discrete-time T–S fuzzy models: a new approach. IEEE Trans. Autom. Control 53(2), 606–611 (2008)
S.W. Kau, H.J. Lee, C.M. Yang, C.H. Lee, L. Hong, C.H. Fang, Robust \(\fancyscript {H}_{\infty }\) fuzzy static output feedback control of T–S fuzzy systems with parametric uncertainties. Fuzzy Sets Syst. 158(2), 135–146 (2007)
H.K. Lam, Polynomial fuzzy-model-based control systems: stability analysis via piecewise-linear membership functions. IEEE Trans. Fuzzy Syst. 19(3), 588–593 (2011)
H.K. Lam, S.H. Tsai, Stability analysis of polynomial-fuzzy-model-based control systems with mismatched premise membership functions. IEEE Trans. Fuzzy Syst. 22(1), 223–229 (2014)
L. Li, S.X. Ding, J. Qiu, Y. Yang, Y. Zhang, Weighted fuzzy observer-based fault detection approach for discrete-time nonlinear systems via piecewise-fuzzy Lyapunov functions. IEEE Trans. Fuzzy Syst. (2016). doi:10.1109/TFUZZ.2016.2514371
L. Li, S.X. Ding, J. Qiu, Y. Yang, D. Xu, Fuzzy observer-based fault detection design approach for nonlinear processes. IEEE Trans. Syst. Man Cybern. Syst. (2016). doi:10.1109/TSMC.2016.2576453
M. Liu, Y. Shi, F. Fang, Load forecasting and operation strategy design for CCHP systems using forecasted loads. IEEE Trans. Control Syst. Technol. 23(5), 1672–1684 (2015)
M. Liu, Y. Shi, H. Gao, Aggregation and charging control of PHEVs in smart grid: a cyber-physical perspective. Proc. IEEE 104(5), 1071–1085 (2016)
Y. Liu, S.M. Lee, Stability and stabilization of Takagi–Sugeno fuzzy systems via sampled-data and state quantized controller. IEEE Trans. Fuzzy Syst. 24(3), 635–644 (2016)
S.K. Nguang, P. Shi, \(\fancyscript {H}_{\infty }\) fuzzy output feedback control design for nonlinear systems: an LMI approach. IEEE Trans. Fuzzy Syst. 11(6), 331–340 (2003)
J. Qiu, Y. Wei, L. Wu, Reliable control of piecewise affine systems with actuator faults: a piecewise Lyapunov approach. IEEE Trans. Circuits Syst. II Express Br. doi:10.1109/TCSII.2016.2629663
J. Qiu, G. Feng, H. Gao, Fuzzy-model-based piecewise \(\fancyscript {H}_{\infty }\) static-output-feedback controller design for networked nonlinear systems. IEEE Trans. Fuzzy Syst. 18(5), 919–934 (2010)
J. Qiu, G. Feng, H. Gao, Observer-based piecewise affine output feedback controller synthesis of continuous-time T–S fuzzy affine dynamic systems using quantized measurements. IEEE Trans. Fuzzy Syst. 20(6), 1046–1062 (2012)
M. Sugeno, Industrial Applications of Fuzzy Control (Elsevier, New York, 1985)
Y. Shi, F. Ding, T. Chen, 2-Norm based recursive design of transmultiplexers with designable filter length. Circuits Syst. Signal Process. 25(4), 447–462 (2006)
Y. Shi, J. Huang, B. Yu, Robust tracking control of networked control systems: application to a networked DC motor. IEEE Trans. Ind. Electron. 60(12), 5864–5874 (2013)
Z. Shu, J. Lam, An augmented system approach to static output feedback stabilization with \(\fancyscript {H}_{\infty }\) performance for continuous-time plants. Int. J. Robust Nonlinear Control 19(7), 768–785 (2009)
H.D. Tuan, P. Apkarian, T. Narikiyo, Y. Yamamoto, Parameterized linear matrix inequality techniques in fuzzy control system design. IEEE Trans. Fuzzy Syst. 9(2), 324–332 (2001)
K. Tanaka, M. Sano, A robust stabilization problem of fuzzy control systems and its applications to backing up control of a truck-trailer. IEEE Trans. Fuzzy Syst. 2(2), 119–134 (1994)
T. Tanaka, H.O. Wang, Fuzzy Control Systems Design and Analysis: A Linear Matrix Inequality Approach (Wiley, New York, 2001)
T. Takagi, M. Sugeno, Fuzzy identification of systems and its application to modeling and control. IEEE Trans. Syst. Man Cybern. SMC–15(1), 116–132 (1985)
H. Wu, H.Y. Zhang, Reliable \(\fancyscript {H}_{\infty }\) fuzzy control for continuous-time nonlinear systems with actuator failures. IEEE Trans. Fuzzy Syst. 14(5), 609–618 (2006)
H. Wu, Reliable robust \(\fancyscript {H}_{\infty }\) fuzzy control for uncertain nonlinear systems with Markovian jumping actuator faults. J. Dyn. Syst. Meas. Control 129(3), 252–261 (2007)
L. Wang, G. Feng, Piecewise \(\fancyscript {H}_{\infty }\) controller design of discrete time fuzzy systems. IEEE Trans. Syst. Man Cybern. Part B Cybern. 34(1), 682–686 (2004)
Y. Wei, J. Qiu, H. K. Lam, L. Wu, Approaches to T–S fuzzy-affine-model-based reliable output feedback control for nonlinear Ito stochastic systems. IEEE Trans. Fuzzy Syst. doi:10.1109/TFUZZ.2016.2566810
Y. Wei, J. Qiu, P. Shi, H. K. Lam, A new design of H-infinity piecewise filtering for discrete-time nonlinear time-varying delay systems via T–S fuzzy affine models. IEEE Trans. Syst. Man Cybern. Syst. doi:10.1109/TSMC.2016.2598785
Y. Wei, J. Qiu, H. K. Lam, A novel approach to reliable output feedback control of fuzzy-affine systems with time-delays and sensor faults. IEEE Trans. Fuzzy Syst. doi:10.1109/TFUZZ.2016.2633323
Y. Wei, J. Qiu, P. Shi, M. Chadli, Fixed-order memory piecewise-affine output feedback controller for fuzzy-affine-model-based nonlinear systems with time-varying delay. IEEE Trans. Circuits Syst. I Regul. Pap. doi:10.1109/TCSI.2016.2632718
Y. Wei, J. Qiu, H.R. Karimi, Reliable output feedback control of discrete-time fuzzy affine systems with actuator faults. IEEE Trans. Circuits Syst. I Regul. Pap. 64(1), 170–181 (2017)
H. Zhang, Y. Shi, M. Liu, \(\fancyscript {H}_{\infty }\) step tracking control for networked discrete-time nonlinear systems with integral and predictive actions. IEEE Trans. Ind. Inf. 9(1), 337–345 (2013)
Acknowledgements
The authors appreciate the Editor-in-Chief, the Associate Editor, and anonymous reviewers for their constructive comments based on which the presentation of this paper has been greatly improved.
Author information
Authors and Affiliations
Corresponding author
Additional information
This work was supported in part by the National Natural Science Foundation of China (61503091, 61522306), the China Postdoctoral Science Foundation (2016T90270, 2015M570282), the Postdoctoral Science Foundation of Heilongjiang Province (LBH-Z14056), and State Key Laboratory of Robotics and Systems of Harbin Institute of Technology (SKLRS-2017-KF-02).
Rights and permissions
About this article
Cite this article
Wei, Y., Qiu, J., Peng, X. et al. T–S Fuzzy-Affine-Model-Based Reliable Output Feedback Control of Nonlinear Systems with Actuator Faults. Circuits Syst Signal Process 37, 81–97 (2018). https://doi.org/10.1007/s00034-017-0547-0
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00034-017-0547-0