Title :
Model reference fuzzy control
Author :
Kang, Hoon ; Vachtsevanos, George J.
Author_Institution :
Sch. of Electr. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
Abstract :
Consideration is given to a fuzzy logic controller for linear systems. A fuzzy rule base is used to stabilize a closed-loop system consisting of a linguistic controller and a process. By utilizing a reference model, impulse-like control inputs can be avoided. A generic guideline for building a control rule base is developed, and membership functions for linguistic variables are chosen to be S, Π, and Z functions. The rules guarantee asymptotic stability. Simulation results show the robustness and convergence of the proposed symbolic controller
Keywords :
adaptive control; closed loop systems; fuzzy logic; linear systems; model reference adaptive control systems; stability; adaptive control; asymptotic stability; closed-loop system; fuzzy logic controller; fuzzy rule base; linguistic controller; model reference control; Asymptotic stability; Control systems; Convergence; Fuzzy control; Fuzzy logic; Fuzzy systems; Guidelines; Linear systems; Process control; Robust control;
Conference_Titel :
Decision and Control, 1989., Proceedings of the 28th IEEE Conference on
Conference_Location :
Tampa, FL
DOI :
10.1109/CDC.1989.70218
