Stability analysis and design of fuzzy control systems
Fuzzy Sets and Systems
A course in fuzzy systems and control
A course in fuzzy systems and control
Fuzzy logic: intelligence, control, and information
Fuzzy logic: intelligence, control, and information
Fuzzy Control
Nonlinear and Optimal Control Systems
Nonlinear and Optimal Control Systems
On improvement of stability conditions for continuous Mamdani-like fuzzy systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Fuzzy controller for mechanical systems
IEEE Transactions on Fuzzy Systems
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Solving classical optimal control problems in nonlinear cases are an arduous task. Determination of time-optimal solutions by solving a two-point boundary-value problem (TPBVPs) is generally difficult. In the present study, an alternative technique to achieve a near-optimal controller for nonlinear systems without solving the TPBVP problem is investigated. The proposed controller uses the phase response trajectories of sliding-mode and fuzzy bang-bang controllers to achieve a near-optimal solution. The input membership function is tuned on-line to improve the time-optimal output. The controller rules are selected to satisfy stability and optimality conditions for the new fuzzy time-optimal controller. The paper describes a systematic procedure for design of the controller to achieve the desired result. To benchmark the controller performance, a sliding-mode controller is used for comparison. Simulation of three nonlinear examples shows promising results