H Fuzzy Control Design for Nonlinear Stochastic Fuzzy Systems

This paper describes the robust output feedback ∞ H fuzzy control design for a class of nonlinear stochastic systems. The system dynamic is modelled by type o ˆ It − stochastic differential equations. For general nonlinear stochastic systems, the ∞ H ontrol can be obtained by solving a second-order nonlinear Hamilton-Jacobi inequality. In general, it is difficult to solve the second-order nonlinear Hamilton-Jacobi inequality. In this paper, using fuzzy approach (T-S fuzzy model), the ∞ H fuzzy control design for the nonlinear stochastic systems can be given via solving linear matrix inequalities (LMIs) instead of a second-order Hamilton-Jacobi inequality. Simulation example is provided to illustrate the design procedure and expected performance.

[1]  Bor-Sen Chen,et al.  Stochastic H2/H∞ control with state-dependent noise , 2004, IEEE Trans. Autom. Control..

[2]  E. Yaz Linear Matrix Inequalities In System And Control Theory , 1998, Proceedings of the IEEE.

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

[4]  A. Astolfi Disturbance Attenuation and H,-Control Via Measurement Feedback in , 1992 .

[5]  Chung-Shi Tseng,et al.  Model reference output feedback fuzzy tracking control design for nonlinear discrete-time systems with time-delay , 2006, IEEE Transactions on Fuzzy Systems.

[6]  Bor-Sen Chen,et al.  Control With State-Dependent Noise , 2004 .

[7]  Chung-Shi Tseng,et al.  Fuzzy observer-based fuzzy control design for nonlinear systems with persistent bounded disturbances , 2007, Fuzzy Sets Syst..

[8]  R. Stephenson A and V , 1962, The British journal of ophthalmology.

[9]  W. Wonham Random differential equations in control theory , 1970 .

[10]  Bor-Sen Chen,et al.  Robust H∞ filtering for nonlinear stochastic systems , 2005 .

[11]  A. El-Hajjaji,et al.  On stabilizability of stochastic fuzzy systems , 2006, 2006 American Control Conference.

[12]  D. Hinrichsen,et al.  Stochastic $H^\infty$ , 1998 .

[13]  A. Isidori,et al.  Disturbance attenuation and H/sub infinity /-control via measurement feedback in nonlinear systems , 1992 .

[14]  Stephen P. Boyd,et al.  Linear Matrix Inequalities in Systems and Control Theory , 1994 .

[15]  Bor-Sen Chen,et al.  Fuzzy tracking control design for nonlinear dynamic systems via T-S fuzzy model , 2001, IEEE Trans. Fuzzy Syst..

[16]  D. Hinrichsen,et al.  Stochastic H∞ , 1998 .