JOURNAL ARTICLE

Fuzzy-based output-feedback H control for uncertain nonlinear systems: an LMI approach

Ahmad H. BesheerHassan M. EmaraM.M. Abdel Aziz

Year: 2007 Journal:   IET Control Theory and Applications Vol: 1 (4)Pages: 1176-1185   Publisher: Institution of Engineering and Technology

Abstract

The problem of robustly stabilising a class of nonlinear systems using an H∞ fuzzy observer-based controller is considered. A class of nonlinear systems is approximated by a Takagi–Sugeno fuzzy model. A sufficient condition is derived to ensure the robust stability of the fuzzy observer-based controller with guaranteed H∞ disturbance attenuation level. The observer and controller design problem is cast in the form of bilinear matrix inequalities (BMIs). Using a two-step procedure, these BMIs are reduced to two sets of linear matrix inequalities that can be solved very efficiently using convex optimisation techniques. The proposed design procedure extends previous results by considering both the premise uncertainty and the consequent uncertainty simultaneously. Furthermore, a modified two-step procedure is suggested for plants with linear output equation. Finally, a simulation example illustrates the validity and applicability of the given approach.

Keywords:
Control theory (sociology) Linear matrix inequality Mathematics Nonlinear system Fuzzy logic Observer (physics) Fuzzy control system Controller (irrigation) Convex optimization Mathematical optimization Bilinear interpolation Computer science Regular polygon Control (management) Artificial intelligence

Metrics

20
Cited By
2.54
FWCI (Field Weighted Citation Impact)
23
Refs
0.90
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Stability and Control of Uncertain Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Adaptive Control of Nonlinear Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Neural Networks Stability and Synchronization
Physical Sciences →  Computer Science →  Computer Networks and Communications

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