scholarly journals Adaptive Fuzzy Controller for a Class of Nonlinear Systems Using Tunable Triangular Membership Functions

2003 ◽  
Vol 15 (3) ◽  
pp. 342-350
Author(s):  
Hugang MAN ◽  
Shuta MURAKAMI
Keyword(s):  
Nonlinear Systems ◽  
Fuzzy Controller ◽  
Membership Functions ◽  
Adaptive Fuzzy Controller ◽  
Adaptive Fuzzy

Observer Based Adaptive Fuzzy Controller with Modulated Membership Functions for Nonlinear System

2016 ◽  
Vol 24 (01) ◽  
pp. 137-159 ◽  
Author(s):  
Leehter Yao ◽  
Jen-nan Jiang ◽  
Tung-bin Lin
Keyword(s):  
Genetic Algorithm ◽  
Nonlinear System ◽  
Supervisory Control ◽  
Fuzzy Controller ◽  
Optimal Solutions ◽  
Membership Functions ◽  
Lyapunov Theorem ◽  
Adaptive Fuzzy Controller ◽  
Adaptive Fuzzy ◽  
On Line

An observer based adaptive fuzzy controller for nonlinear system is proposed. Parameters in the proposed adaptive fuzzy controller are tuned on-line by the genetic algorithm (GA). For on-line tuning, a parsimonious parameterization scheme for fuzzy controller called orthogonal modulated membership functions (mmf)35 is utilized. A simplified GA called micro GA that greatly improves the learning efficiency is applied. The valid range of mmf parameters will be proved in this paper. With the valid range of mmf parameters, the search by MGA for the optimal parameterization of the adaptive fuzzy controller is more focused resulting in fast convergence to the optimal solutions. A Lyapunov theorem based supervisory control is added to the fuzzy controller assuring that close loop stability is always maintained for the adaptive fuzzy controller during the learning process.

Design of Adaptive Fuzzy Control for a Class of Networked Nonlinear Systems

2017 ◽  
Vol 139 (3) ◽  
Author(s):  
Mohamed Hamdy ◽  
Sameh Abd-Elhaleem ◽  
M. A. Fkirin
Keyword(s):  
Nonlinear Systems ◽  
Fuzzy Controller ◽  
External Disturbance ◽  
Tracking Error ◽  
Adaptive Fuzzy Control ◽  
Time Varying ◽  
Fuzzy Logic Systems ◽  
Packet Losses ◽  
Adaptive Fuzzy Controller ◽  
Adaptive Fuzzy

This paper presents an adaptive fuzzy controller for a class of unknown nonlinear systems over network. The network-induced delays can degrade the performance of the networked control systems (NCSs) and also can destabilize the system. Moreover, the seriousness of the delay problem is aggravated when packet losses occur during a transmission of data. The proposed controller uses a filtered tracking error to cope the time-varying network-induced delays. It is also robust enough to cope some packet losses in the system. Fuzzy logic systems (FLSs) are used to approximate the unknown nonlinear functions that appear in the tracking controller. Based on Lyapunov stability theory, the constructed controller is proved to be asymptotically stable. Stability of the adaptive fuzzy controller is guaranteed in the presence of bounded external disturbance, time-varying delays, and data packet dropouts. Simulated application of the inverted pendulum tracking illustrates the effectiveness of the proposed technique with comparative results.

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