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 reduce 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 |
|---|---|
| Pages (from-to) | 339-352 |
| Number of pages | 14 |
| Journal | Fuzzy Sets and Systems |
| Volume | 64 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 1994 Jun 24 |
Keywords
- Fuzzy control
- adaptive control
- inverted pendulum
ASJC Scopus subject areas
- Logic
- Artificial Intelligence