Title :
Evolutionary design of fuzzy gain scheduling controllers
Author :
Wu, Baolin ; Yu, Xinghuo
Author_Institution :
Fac. of Inf. & Commun., Central Queensland Univ., Rockhampton, Qld., Australia
Abstract :
An evolutionary procedure is proposed for the design of the fuzzy gain scheduling controller (FGSC) for nonlinear control systems. The FGSC makes use of the structure of conventional gain scheduling controllers and incorporates the Tanaka-Sugeno (TS) fuzzy system structure. A learning algorithm based on evolutionary programming is used for learning the structure and optimising the parameters of the FGSC. Simulation results are shown to demonstrate the effectiveness of the scheme
Keywords :
control system synthesis; controllers; evolutionary computation; fuzzy control; fuzzy systems; nonlinear control systems; scheduling; simulation; Tanaka-Sugeno fuzzy system structure; evolutionary design; evolutionary programming; fuzzy gain scheduling controllers; learning algorithm; nonlinear control systems; simulation; Australia; Centralized control; Communication system control; Control systems; Fuzzy control; Fuzzy systems; Informatics; Nonlinear control systems; Nonlinear dynamical systems; Scheduling;
Conference_Titel :
Evolutionary Computation, 1999. CEC 99. Proceedings of the 1999 Congress on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-5536-9
DOI :
10.1109/CEC.1999.785539
