Abstract
This paper addresses the stable fuzzy controller design problem of nonlinear systems. The methodology is based on a fuzzy logic approach and the genetic algorithm (GA). In order to analyze the system stability, the TSK fuzzy plant model is employed to describe the dynamics of the nonlinear plant. A fuzzy controller is then developed to close the feedback loop. The stability conditions are derived. The feedback gains of the fuzzy controller and the solution for meeting the stability conditions are determined using the GA. An application example on stabilizing an inverted pendulum system will be given. Simulation and experimental results will be presented to verify the applicability of the proposed approach.
Original language | English |
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Title of host publication | IEEE International Conference on Fuzzy Systems |
Pages | 500-505 |
Number of pages | 6 |
Publication status | Published - 11 Jul 2003 |
Event | The IEEE International conference on Fuzzy Systems - St. Louis, MO, United States Duration: 25 May 2003 → 28 May 2003 |
Conference
Conference | The IEEE International conference on Fuzzy Systems |
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Country/Territory | United States |
City | St. Louis, MO |
Period | 25/05/03 → 28/05/03 |
ASJC Scopus subject areas
- Software
- Theoretical Computer Science
- Artificial Intelligence
- Applied Mathematics