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Observer-based robust fuzzy controller design for uncertain stochastic T-S fuzzy model with passivity performance | IEEE Conference Publication | IEEE Xplore

Observer-based robust fuzzy controller design for uncertain stochastic T-S fuzzy model with passivity performance


Abstract:

The issue of observer-based robust passive fuzzy controller design is discussed and investigated in this paper for uncertain stochastic Takagi-Sugeno (T-S) fuzzy model wi...Show More

Abstract:

The issue of observer-based robust passive fuzzy controller design is discussed and investigated in this paper for uncertain stochastic Takagi-Sugeno (T-S) fuzzy model with external disturbance. For describing the stochastic behaviors of system, the stochastic differential equation is used to structure the stochastic T-S fuzzy model for representing the nonlinear stochastic systems. Using the Lyapunov function and passivity theory, the sufficient stability condition can be derived in term of linear matrix inequality (LMI) by Ito¿'s formula. With stability conditions, a less conservatism design method is developed to synthesize the state feedback fuzzy controller and fuzzy observer for guaranteeing the asymptotical stability and strictly input passivity of system in the mean square.
Date of Conference: 15-18 December 2009
Date Added to IEEE Xplore: 29 January 2010
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Conference Location: Shanghai, China

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