JOURNAL ARTICLE

Static Output Feedback Stabilizing Control for Takagi-Sugeno Fuzzy Systems

Abstract

This paper introduces a new static output feedback controller design method for continuous-time Takagi-Sugeno fuzzy systems, which can represent a wide class of nonlinear systems. Although many papers discuss state feedback controller design for fuzzy sytems, a fewer number of papers consider an output feedback controller design due to its difficulty. In this paper, our target is to propose an output feedback controller design method. In our control design, the integral structure of the membership functions, which are the same properties as the original membership functions, is utilized. A similar approach for state feedback controller design methods has been in the literature. Our proposed output feedback controller is designed based on a new fuzzy Lyapunov function which includes the double integral of the original membership functions of the system, and it shows a wider stabilizing area than the existing methods. At the end of the paper, a numerical example is provided to illustrate the newly proposed controller design method and to asymptotically stabilize the system.

Keywords:
Control theory (sociology) Controller (irrigation) Fuzzy logic Fuzzy control system Computer science Lyapunov function Control engineering Nonlinear system Full state feedback State (computer science) Design methods Control (management) Engineering Artificial intelligence Algorithm

Metrics

2
Cited By
0.13
FWCI (Field Weighted Citation Impact)
11
Refs
0.46
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
Neural Networks Stability and Synchronization
Physical Sciences →  Computer Science →  Computer Networks and Communications
Adaptive Control of Nonlinear Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
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