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 (GA) with arithmetic crossover and nonuniform 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 typed inverted pendulum system will be given to show the stabilizability of the nonlinear controller.
| Original language | English |
|---|---|
| Pages (from-to) | 250-257 |
| Number of pages | 8 |
| Journal | IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics |
| Volume | 33 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 1 Apr 2003 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Fuzzy plant model
- Genetic algorithm (GA)
- Nonlinear controller
- Nonlinear systems
- Stability
ASJC Scopus subject areas
- Control and Systems Engineering
- Software
- General Medicine
- Information Systems
- Human-Computer Interaction
- Computer Science Applications
- Electrical and Electronic Engineering
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