Fuzzy Control Systems Design and Analysis: A Linear Matrix Inequality Approach
Fuzzy Control Systems Design and Analysis: A Linear Matrix Inequality Approach
Robust fuzzy tracking control of nonlinear systems with uncertainty via t-s fuzzy model
FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Output tracking and regulation of nonlinear system based onTakagi-Sugeno fuzzy model
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
An approach to fuzzy control of nonlinear systems: stability and design issues
IEEE Transactions on Fuzzy Systems
Robustness design of nonlinear dynamic systems via fuzzy linear control
IEEE Transactions on Fuzzy Systems
Fuzzy tracking control design for nonlinear dynamic systems via T-S fuzzy model
IEEE Transactions on Fuzzy Systems
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This paper presents a fuzzy tracking control design based on H∞ performance for nonlinear systems. The Takagi-Sugeno fuzzy model is employed to approximate a nonlinear system. Based on the H∞ tracking performance, the nonlinear system output is controlled to track a reference signal, and at the same time the tracking performance is attenuated to a prescribed level. Linear matrix inequalities (LMI) techniques are used to solve the fuzzy tracking control problem. The proposed method has been applied to control of a laboratory pendulum-cart system. Hence, the performance has been evaluated in simulations as well as in real-time control.