JOURNAL ARTICLE

A fuzzy output regulator for Takagi-Sugeno fuzzy models

Abstract

In this paper, the problem of forcing a nonlinear system to track a desired reference signal is addressed by combining the theory of output regulation and the Takagi-Sugeno fuzzy modelling. The designing of the fuzzy regulator is based on LMI techniques.

Keywords:
Regulator Control theory (sociology) Fuzzy logic Fuzzy control system Nonlinear system Computer science Forcing (mathematics) Control engineering Mathematics Engineering Control (management) Artificial intelligence Physics

Metrics

20
Cited By
1.53
FWCI (Field Weighted Citation Impact)
11
Refs
0.87
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Fuzzy Logic and Control Systems
Physical Sciences →  Computer Science →  Artificial Intelligence
Adaptive Control of Nonlinear Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Fault Detection and Control Systems
Physical Sciences →  Engineering →  Control and Systems Engineering

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