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The paper presents a Takagi-Sugeno-Kang (TSK)-type recurrent fuzzy neural network (TRFNN) adaptive inverse modeling control for a class of nonlinear discrete-time time-delay systems. This type of controller uses a TRFNN as an adaptive inverse modeling controller. TRFNN is a recurrent fuzzy neural network developed from a series of TSK-type fuzzy if-then rules, and its consequent parameters learning...
Since the characteristics of time-delay, nonlinear and uncertain model structure, and in order to control temperature in greenhouse better, a fuzzy neural network PID control is presented in this paper. The intelligent controller can adjust the parameters according to the variation of system characteristics even if the system model is unknown, and meet the requests of real-time control. The approach...
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