Stability analysis and design of fuzzy control systems
Fuzzy Sets and Systems
A self-tuning fuzzy controller
Fuzzy Sets and Systems
Adaptive fuzzy systems and control: design and stability analysis
Adaptive fuzzy systems and control: design and stability analysis
Robust adaptive control
An approach to systematic design of the fuzzy control system
Fuzzy Sets and Systems
A course in fuzzy systems and control
A course in fuzzy systems and control
Adaptive Control
An approach to fuzzy control of nonlinear systems: stability and design issues
IEEE Transactions on Fuzzy Systems
A multirule-base controller using the robust property of a fuzzy controller and its design method
IEEE Transactions on Fuzzy Systems
Stable adaptive control using fuzzy systems and neural networks
IEEE Transactions on Fuzzy Systems
Robust stability analysis and design method for the fuzzy feedback linearization regulator
IEEE Transactions on Fuzzy Systems
Brief paper: Adaptive fuzzy decentralized control for interconnected MIMO nonlinear subsystems
Automatica (Journal of IFAC)
Stability analysis and design of Takagi-Sugeno fuzzy systems
Information Sciences: an International Journal
Simulation of a New Self-Structured Fuzzy Controller Applied to a Temperature Control Process
International Journal of Applied Evolutionary Computation
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In this paper, a parameter estimator is developed for the plant model whose structure is represented by the Takagi-Sugeno model. The essential idea behind the on-line estimation is the comparison of the measured state with the state of an estimation model whose structure is the same as that of the parameterized model. Based on the parameter estimation scheme, an indirect model reference adaptive fuzzy control (MRAFC) scheme is proposed to provide asymptotic tracking of a reference signal for the systems with uncertain or slowly time-varying parameters. The developed control law and adaptive law guarantee the boundedness of all signals in the closed-loop system. In addition, the plant state tracks the state of the reference model asymptotically with time for any bounded reference input signal.