Abstract
This paper presents a method to control multivariable nonlinear systems with unknown parameters using an adaptive technique. First, a fuzzy plant model with unknown membership functions is obtained to describe the unknown nonlinear plant. Then, an adaptive fuzzy controller is designed to close the feedback loop. An adaptive law is derived based on the Lyapunov's stability theory to update the grades of membership such that the membership functions of the fuzzy plant model and the fuzzy controller are made the same with guaranteed close-loop system stability. An application example on stabilizing a nonlinear mass-spring-damper system with unknown parameters is given to illustrate the merits of the proposed adaptive fuzzy controller.
Original language | English |
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Title of host publication | IECON Proceedings (Industrial Electronics Conference) |
Publisher | IEEE Comp Soc |
Pages | 1758-1761 |
Number of pages | 4 |
Publication status | Published - 1 Jan 1998 |
Event | Proceedings of the 1998 24th Annual Conference of the IEEE Industrial Electronics Society, IECON. Part 4 (of 4) - Aachen, Germany Duration: 31 Aug 1998 → 4 Sept 1998 |
Conference
Conference | Proceedings of the 1998 24th Annual Conference of the IEEE Industrial Electronics Society, IECON. Part 4 (of 4) |
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Country/Territory | Germany |
City | Aachen |
Period | 31/08/98 → 4/09/98 |
ASJC Scopus subject areas
- Control and Systems Engineering
- Electrical and Electronic Engineering