Adaptive Fuzzy Controller for a Class of Uncertain Nonlinear Systems

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概要

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• In general, the state feedback control gain can be obtained by solving certain linear matrix inequalities (LMIs) when using the Takagi-Sugeno (T-S) fuzzy model to develop a control system. In this paper, the reconstruction error between the real system to be controlled and its T-S fuzzy model, which consists of parameter uncertainties and external disturbance, is considered. As a result, we arrive at an adaptive controller that has two parts: one is obtained by solving certain LMIs (fixed part) and another one is acquired by an adaptive law (variable part). The proposed controller can guarantee the control state to converge and uniformly bounded while maintaining all the signals involved stable. Also, the convergence and boundedness in terms of relaxing the LMIs conservatism are discussed. An inverted pendulum is provided to demonstrate the effectiveness of the proposed adaptive fuzzy controller.

• 2009-08-15

著者

• Han Hugang

  Department Of Management And Information Sciences Hiroshima Prefectural University

関連論文

• Observer-Based Fuzzy Control Scheme for a Class of Nonlinear Systems
• T-S Fuzzy Controller for a Class of Nonlinear Systems with Input Constraint
• Adaptive Fuzzy Control for a Class of Discrete-Time Nonlinear Systems with State Observer
• Adaptive Fuzzy Controller for a Class of Uncertain Nonlinear Systems

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