Stability analysis and H∞ control of discrete T–S fuzzy hyperbolic systems

Abstract This paper focuses on the problem of constraint control for a class of discrete-time nonlinear systems. Firstly, a new discrete T–S fuzzy hyperbolic model is proposed to represent a class of discrete-time nonlinear systems. By means of the parallel distributed compensation (PDC) method, a novel asymptotic stabilizing control law with the “soft” constraint property is designed. The main advantage is that the proposed control method may achieve a small control amplitude. Secondly, for an uncertain discrete T–S fuzzy hyperbolic system with external disturbances, by the proposed control method, the robust stability and H∞ performance are developed by using a Lyapunov function, and some sufficient conditions are established through seeking feasible solutions of some linear matrix inequalities (LMIs) to obtain several positive diagonally dominant (PDD) matrices. Finally, the validity and feasibility of the proposed schemes are demonstrated by a numerical example and a Van de Vusse one, and some comparisons of the discrete T–S fuzzy hyperbolic model with the discrete T–S fuzzy linear one are also given to illustrate the advantage of our approach.

[1]  Jianbin Qiu,et al.  Fuzzy-Model-Based Piecewise ${\mathscr H}_{\infty }$ Static-Output-Feedback Controller Design for Networked Nonlinear Systems , 2010, IEEE Transactions on Fuzzy Systems.

[2]  Quan Yongbing,et al.  Modeling, Identification and Control of a Class of Nonlinear System , 2001 .

[3]  Wei Zhang,et al.  Observer-based fault-tolerant control against sensor failures for fuzzy systems with time delays , 2011, Int. J. Appl. Math. Comput. Sci..

[4]  Michael Margaliot,et al.  A new approach to fuzzy modeling and control of discrete-time systems , 2003, IEEE Trans. Fuzzy Syst..

[5]  Junmin Li,et al.  Delay-dependent generalized H2 control for discrete T-S fuzzy large-scale stochastic systems with mixed delays , 2011, Int. J. Appl. Math. Comput. Sci..

[6]  Hyochoong Bang,et al.  Design and analysis of optimal controller for fuzzy systems with input constraint , 2004, IEEE Transactions on Fuzzy Systems.

[7]  Tzuu-Hseng S. Li,et al.  Robust $H_{\infty}$ Fuzzy Control for a Class of Uncertain Discrete Fuzzy Bilinear Systems , 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[8]  Tzuu-Hseng S. Li,et al.  T–S Fuzzy Bilinear Model and Fuzzy Controller Design for a Class of Nonlinear Systems , 2007, IEEE Transactions on Fuzzy Systems.

[9]  Yongduan Song,et al.  A Novel Control Design on Discrete-Time Takagi–Sugeno Fuzzy Systems With Time-Varying Delays , 2013, IEEE Transactions on Fuzzy Systems.

[10]  Kazuo Tanaka,et al.  Fuzzy Control Systems Design and Analysis: A Linear Matrix Inequality Approach , 2008 .

[11]  Kun-Lin Tsai,et al.  A Takagi-Sugeno fuzzy-model-based modeling method , 2010, International Conference on Fuzzy Systems.

[12]  Ligang Wu,et al.  Reliable Filtering With Strict Dissipativity for T-S Fuzzy Time-Delay Systems , 2014, IEEE Transactions on Cybernetics.

[13]  Junsheng Wang ADAPTIVE FUZZY CONTROL OF DIRECT-CURRENT MOTOR DEAD-ZONE SYSTEMS , 2014 .

[14]  Sung Hyun Kim,et al.  Relaxed delay-dependent stabilization conditions for discrete-time fuzzy systems with time delays , 2008, 2008 10th International Conference on Control, Automation, Robotics and Vision.

[15]  Yongming Li,et al.  Observer-Based Adaptive Decentralized Fuzzy Fault-Tolerant Control of Nonlinear Large-Scale Systems With Actuator Failures , 2014, IEEE Transactions on Fuzzy Systems.

[16]  Xin-Ping Guan,et al.  Delay-dependent guaranteed cost control for T-S fuzzy systems with time delays , 2004, IEEE Transactions on Fuzzy Systems.

[17]  Dongsheng Du,et al.  Reliable H∞ control for Takagi–Sugeno fuzzy systems with intermittent measurements , 2012 .

[18]  Junmin Li,et al.  Observer-Based Fuzzy Control Design for discrete-Time T-S Fuzzy Bilinear Systems , 2013, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

[19]  Junmin Li,et al.  Delay-dependent generalized H2 fuzzy static-output-feedback control for discrete T-S fuzzy bilinear stochastic systems with mixed delays , 2013, J. Intell. Fuzzy Syst..

[20]  Ruiyun Qi,et al.  Adaptive control schemes for discrete-time T-S fuzzy systems with unknown parameters and actuator failures , 2011, Proceedings of the 2011 American Control Conference.

[21]  Jian Xiao,et al.  A fuzzy Lyapunov function approach to stabilization of interval type-2 T-S fuzzy systems , 2013, 2013 25th Chinese Control and Decision Conference (CCDC).

[22]  Alberto Bemporad,et al.  Min-max control of constrained uncertain discrete-time linear systems , 2003, IEEE Trans. Autom. Control..

[23]  Shaocheng Tong,et al.  Adaptive Fuzzy Output Feedback Tracking Backstepping Control of Strict-Feedback Nonlinear Systems With Unknown Dead Zones , 2012, IEEE Transactions on Fuzzy Systems.

[24]  Farid Sheikholeslam,et al.  Stability analysis and design of fuzzy control systems , 1998, 1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228).

[25]  Michio Sugeno,et al.  Fuzzy identification of systems and its applications to modeling and control , 1985, IEEE Transactions on Systems, Man, and Cybernetics.

[26]  Aryan Saadat Mehr,et al.  On ${\cal H}_{\infty }$ Filtering for Discrete-Time Takagi–Sugeno Fuzzy Systems , 2012, IEEE Transactions on Fuzzy Systems.

[27]  Yong-Yan Cao,et al.  Robust H∞ disturbance attenuation for a class of uncertain discrete-time fuzzy systems , 2000, IEEE Trans. Fuzzy Syst..

[28]  Ronald R. Mohler,et al.  Natural Bilinear Control Processes , 1970, IEEE Trans. Syst. Sci. Cybern..

[29]  Shaocheng Tong,et al.  Fuzzy-Adaptive Decentralized Output-Feedback Control for Large-Scale Nonlinear Systems With Dynamical Uncertainties , 2010, IEEE Transactions on Fuzzy Systems.

[30]  G. Feng,et al.  A Survey on Analysis and Design of Model-Based Fuzzy Control Systems , 2006, IEEE Transactions on Fuzzy Systems.

[31]  Hao Zhang,et al.  H∞ fuzzy filtering for discrete-time fuzzy stochastic systems with time-varying delay , 2010, Proceedings of the 29th Chinese Control Conference.

[32]  Jianbin Qiu,et al.  A New Design of Delay-Dependent Robust ${\cal H}_{\bm \infty}$ Filtering for Discrete-Time T--S Fuzzy Systems With Time-Varying Delay , 2009, IEEE Transactions on Fuzzy Systems.

[33]  ChenMinglai,et al.  Non-fragile guaranteed cost control for Takagi–Sugeno fuzzy hyperbolic systems , 2015 .

[34]  Kalyanmoy Deb,et al.  Probabilistic constraint handling in the framework of joint evolutionary-classical optimization with engineering applications , 2012, 2012 IEEE Congress on Evolutionary Computation.

[35]  Junmin Li,et al.  Non-fragile guaranteed cost control of discrete-time fuzzy bilinear system , 2010 .

[36]  Junmi Li,et al.  NON-FRAGILE GUARANTEED COST CONTROL OF T-S FUZZY TIME-VARYING DELAY SYSTEMS WITH LOCAL BILINEAR MODELS , 2012 .

[37]  Minglai Chen,et al.  Modeling and control of T-S fuzzy hyperbolic model for a class of nonlinear systems , 2012, 2012 Proceedings of International Conference on Modelling, Identification and Control.

[38]  Gang Feng,et al.  H infinity Control of nonlinear discrete-time systems based on dynamical fuzzy models , 2000, Int. J. Syst. Sci..

[39]  A. Fatehi,et al.  NON-MONOTONIC LYAPUNOV FUNCTIONS FOR STABILITY ANALYSIS AND STABILIZATION OF DISCRETE TIME TAKAGI-SUGENO FUZZY SYSTEMS , 2012 .

[40]  Shaocheng Tong,et al.  A Combined Backstepping and Small-Gain Approach to Robust Adaptive Fuzzy Output Feedback Control , 2009, IEEE Transactions on Fuzzy Systems.

[41]  Huijun Gao,et al.  Fuzzy-Model-Based Control of an Overhead Crane With Input Delay and Actuator Saturation , 2012, IEEE Transactions on Fuzzy Systems.

[42]  Junmin Li,et al.  Non-fragile guaranteed cost control for Takagi–Sugeno fuzzy hyperbolic systems , 2015, Int. J. Syst. Sci..

[43]  A. Jadbabaie,et al.  Guaranteed-cost design of continuous-time Takagi-Sugeno fuzzy controllers via linear matrix inequalities , 1998, 1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228).

[44]  Bor-Sen Chen,et al.  Mixed H2/H∞ fuzzy output feedback control design for nonlinear dynamic systems: an LMI approach , 2000, IEEE Trans. Fuzzy Syst..