Abstract
This paper presents the fuzzy control of a class of multivariable nonlinear systems subject to parameter uncertainties. The nonlinear plant tackled in this paper is an nth-order nonlinear system with n inputs. If the input matrix B inside the fuzzy plant model is invertible, a fuzzy controller can be designed such that the states of the closed-loop system will follow those of a user-defined stable reference model despite the presence of parameter uncertainties. A numerical example will be given to show the design procedures and the merits of the proposed fuzzy controller.
Original language | English |
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Pages (from-to) | 129-144 |
Number of pages | 16 |
Journal | International Journal of Approximate Reasoning |
Volume | 26 |
Issue number | 2 |
DOIs | |
Publication status | Published - 1 Jan 2001 |
ASJC Scopus subject areas
- Software
- Theoretical Computer Science
- Artificial Intelligence
- Applied Mathematics