Stable and optimal adaptive fuzzy control of complex systems using fuzzy dynamic model
Fuzzy Sets and Systems - Theme: Fuzzy control
Optimal fuzzy control to reduce energy consumption in distillation columns
Automation and Remote Control
Absolute stability analysis for a class of Takagi-Sugeno fuzzy control systems
International Journal of Systems Science
Engineering Applications of Artificial Intelligence
Expert Systems with Applications: An International Journal
Optimal nonlinear control strategy of a pilot plant reactor
ASC '07 Proceedings of The Eleventh IASTED International Conference on Artificial Intelligence and Soft Computing
Optimal fuzzy control system using the cross-entropy method. A case study of a drilling process
Information Sciences: an International Journal
A neural fuzzy framework for system mapping applications
Knowledge-Based Systems
A novel fuzzy framework for nonlinear system control
Fuzzy Sets and Systems
Optimal strategy for control a pilot plant reactor
CIMMACS'07 Proceedings of the 6th WSEAS international conference on Computational intelligence, man-machine systems and cybernetics
Neural, Parallel & Scientific Computations
Engineering Applications of Artificial Intelligence
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A number of stable and optimal fuzzy controllers are developed for linear systems. Based on some classical results in control theory, we design the structure and parameters of fuzzy controllers such that the closed-loop fuzzy control systems are stable, provided that the process under control is linear and satisfies certain conditions. It turns out that if stability is the only requirement, there is much freedom in choosing the fuzzy controller parameters. Therefore, a performance criterion is set to optimalize the parameters. Using the Pontryagin minimum principle, we design an optimal fuzzy controller for linear systems with quadratic cost function. Finally, the optimal fuzzy controller is applied to a ball-and-beam system