Abstract
This paper presents a systematic methodology to the design of a decentralized fuzzy logic controller for large-scale nonlinear systems. A new method which is based on a performance index of sliding mode control is used to derive fuzzy rules and an adaptive algorithm is used to eliminate the chattering phenomenon. The simulation results of a two-inverted pendulum system and a two-link manipulator demonstrate that the attractive features of the proposed approach include a smaller residual error and robustness against nonlinear interactions.
| Original language | English |
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| Pages | 602-607 |
| Number of pages | 6 |
| Publication status | Published - 1994 |
| Event | Proceedings of the 3rd IEEE Conference on Fuzzy Systems. Part 3 (of 3) - Orlando, FL, USA Duration: 1994 Jun 26 → 1994 Jun 29 |
Conference
| Conference | Proceedings of the 3rd IEEE Conference on Fuzzy Systems. Part 3 (of 3) |
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| City | Orlando, FL, USA |
| Period | 1994/06/26 → 1994/06/29 |
ASJC Scopus subject areas
- Software
- Theoretical Computer Science
- Artificial Intelligence
- Applied Mathematics