Abstract
This paper presents the stability analysis of fuzzy model based nonlinear control systems, and the design of nonlinear gains and feedback gains of the nonlinear controller using genetic algorithm with arithmetic crossover and non-uniform mutation. A stability condition will be derived based on Lyapunov's stability theory with a smaller number of Lyapunov conditions. The solution of the stability conditions are also determined using GA. An application example of stabilizing a cart-pole inverted pendulum system will be given to show the stabilizability of the nonlinear controller.
| Original language | English |
|---|---|
| Pages (from-to) | 232-237 |
| Number of pages | 6 |
| Journal | IEEE International Conference on Fuzzy Systems |
| Volume | 1 |
| Publication status | Published - 31 Dec 2002 |
| Event | 2002 IEEE International Conference on Fuzzy Systems: FUZZ-IEEE'02 - Honolulu, HI, United States Duration: 12 May 2002 → 17 May 2002 |
ASJC Scopus subject areas
- Theoretical Computer Science
- Software
- Artificial Intelligence
- Applied Mathematics