A course in fuzzy systems and control
A course in fuzzy systems and control
Fuzzy Control
Adaptive feedback linearization control of chaotic systems via recurrent high-order neural networks
Information Sciences: an International Journal
Dynamically focused fuzzy learning control
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Fuzzy model based control: stability, robustness, and performance issues
IEEE Transactions on Fuzzy Systems
Intelligent control of a constant turning force system with fixed metal removal rate
Applied Soft Computing
An artificial bee colony-least square algorithm for solving harmonic estimation problems
Applied Soft Computing
Design of a grey-prediction self-organizing fuzzy controller for active suspension systems
Applied Soft Computing
Machine Vision and Applications
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The present paper describes the development of an indirect adaptive fuzzy control scheme employing feedback linearizing technique. The scheme proposes the development of a fuzzy certainty equivalence controller for controlling non-linear plants. This controller is designed on the basis of plant parameters estimated online at each sampling instant using bacterial foraging optimization (BFO) technique, a stochastic optimization technique, popularly employed in recent times. The utility of the proposed scheme is aptly demonstrated by implementing it to control the level in a surge tank under a variety of reference input commands, where the fuzzy controller could significantly out-perform the corresponding classical feedback linearizing controller and PSO-based fuzzy controller.