title: Design and stability analysis of fuzzy model-based nonlinear controller for nonlinear systems using genetic algorithm.
abstract: This paper presents stability analysis of fuzzy model-based nonlinear control systems, and the design of nonlinear gains and feedback gains of the nonlinear controller using a genetic algorithm (GA) with arithmetic crossover and nonuniform mutation. A stability condition is derived based on Lyapunov's stability theory with a smaller number of Lyapunov conditions. A solution of the stability conditions is also determined using GA. An application example of stabilizing a cart-pole typed inverted pendulum system is given to show the stabilizability of the nonlinear controller.
authors.affiliation: Dept. of Electron. & Inf. Eng., Hong Kong Polytech. Univ., Kowloon, China.
authors.forename: H K
authors.initials: HK
authors.lastname: Lam
authors.forename: F H
authors.initials: FH
authors.lastname: Leung
authors.forename: P S
authors.initials: PS
authors.lastname: Tam