L2-L∞ fuzzy control for Markov jump systems with neutral time-delays

The L"2-L"~ fuzzy control problem is considered for nonlinear stochastic Markov jump systems with neutral time-delays. By means of Takagi-Sugeno fuzzy models, the fuzzy controller systems and the overall closed-loop fuzzy dynamics are constructed. A sufficient condition is firstly established on the stochastic stability using stochastic Lyapunov-Krasovskii functional. Then in terms of linear matrix inequalities techniques, the sufficient conditions on the existence of mode-dependent state feedback L"2-L"~ fuzzy controller are presented and proved respectively for constant and time varying case. Finally, the design problems are formulated as optimization algorithms. Simulation results are exploited to illustrate the effectiveness of the developed techniques.

[1]  Jin Bae Park,et al.  Delay-dependent observer-based control for a class of neutral systems with uncertain delays , 2007, 2007 International Conference on Control, Automation and Systems.

[2]  H. Chizeck,et al.  Controllability, stabilizability, and continuous-time Markovian jump linear quadratic control , 1990 .

[3]  Shengyuan Xu,et al.  Delay-dependent H∞ filtering for stochastic systems with Markovian switching and mixed mode-dependent delays , 2010 .

[4]  D. Wilson Convolution and Hankel operator norms for linear systems , 1989 .

[5]  Vilma Alves de Oliveira,et al.  Robust $H_{\infty}$ Fuzzy Control Approach for a Class of Markovian Jump Nonlinear Systems , 2006, IEEE Transactions on Fuzzy Systems.

[6]  Zidong Wang,et al.  Exponential Stabilization of a Class of Stochastic System With Markovian Jump Parameters and Mode-Dependent Mixed Time-Delays , 2010, IEEE Transactions on Automatic Control.

[7]  Wei Xing Zheng,et al.  Exponential Stability Analysis for Delayed Neural Networks With Switching Parameters: Average Dwell Time Approach , 2010, IEEE Transactions on Neural Networks.

[8]  Daniel W. C. Ho,et al.  Robust ${{\cal H}}_{\infty}$ Filtering for Markovian Jump Systems With Randomly Occurring Nonlinearities and Sensor Saturation: The Finite-Horizon Case , 2011, IEEE Transactions on Signal Processing.

[9]  Kazuo Tanaka,et al.  A robust stabilization problem of fuzzy control systems and its application to backing up control of a truck-trailer , 1994, IEEE Trans. Fuzzy Syst..

[10]  Fei Liu,et al.  Filtering-based robust fault detection of fuzzy jump systems , 2011, Fuzzy Sets Syst..

[11]  James Lam,et al.  Static output-feedback stabilization of discrete-time Markovian jump linear systems: A system augmentation approach , 2010, Autom..

[12]  Sangchul Won,et al.  Stability analysis for neutral delay-differential systems , 2000, J. Frankl. Inst..

[13]  Daniel W. C. Ho,et al.  Sliding mode control of singular stochastic hybrid systems , 2010, Autom..

[14]  Shengyuan Xu,et al.  Delay-dependent and delay-independent energy-to-peak model approximation for systems with time-varying delay , 2005, Int. J. Syst. Sci..

[15]  K. Loparo,et al.  Stochastic stability properties of jump linear systems , 1992 .

[16]  Peng Hu,et al.  Novel delay-dependent robust stability criteria for neutral stochastic delayed neural networks , 2010, Neurocomputing.

[17]  Zidong Wang,et al.  A delay fractioning approach to global synchronization of delayed complex networks with stochastic disturbances , 2008 .

[18]  Ju H. Park,et al.  Simple criterion for asymptotic stability of interval neutral delay-differential systems , 2003, Appl. Math. Lett..

[19]  Fei Liu,et al.  Controlling uncertain fuzzy neutral dynamic systems with Markov jumps , 2010 .

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

[21]  Peng Shi,et al.  Passivity Analysis for Discrete-Time Stochastic Markovian Jump Neural Networks With Mixed Time Delays , 2011, IEEE Transactions on Neural Networks.

[22]  J. H. Park,et al.  Asymptotic Stability of Neutral Systems with Multiple Delays , 1999 .

[23]  Kazuo Tanaka,et al.  Stability analysis and design of fuzzy control systems , 1992 .

[24]  Ju H. Park,et al.  Simplified stability criteria for fuzzy Markovian jumping Hopfield neural networks of neutral type with interval time-varying delays , 2012, Expert Syst. Appl..

[25]  Ju-H. Park A new delay-dependent criterion for neural systems with multiple delays , 2001 .

[26]  Yang Shi,et al.  Improved robust energy-to-peak filtering for uncertain linear systems , 2010, Signal Process..

[27]  X. Mao,et al.  Stochastic differential delay equations with Markovian switching , 2000 .

[28]  Fei Liu,et al.  Finite-Time $H_{\infty}$ Fuzzy Control of Nonlinear Jump Systems With Time Delays Via Dynamic Observer-Based State Feedback , 2012, IEEE Transactions on Fuzzy Systems.

[29]  James Lam,et al.  Robust H∞ control of uncertain Markovian jump systems with time-delay , 2000, IEEE Trans. Autom. Control..