JOURNAL ARTICLE

fuzzy PID control synthesis for Takagi–Sugeno fuzzy systems

Kairui CaoXiao-Zhi GaoHak‐Keung LamAthanasios V. Vasilakos

Year: 2016 Journal:   IET Control Theory and Applications Vol: 10 (6)Pages: 607-616   Publisher: Institution of Engineering and Technology

Abstract

This study proposes a kind of H ∞ fuzzy proportional–integral–derivative (PID) control synthesis method for Takagi–Sugeno (T–S) fuzzy systems. The basic idea of the presented method is to transform the fuzzy PID controller design problem into that of the fuzzy static output feedback (SOF) controller design. On the basis of an iterative linear matrix inequality algorithm, the fuzzy SOF control laws can be obtained. After that, the fuzzy PID controller is recovered from the fuzzy SOF controller. Simulation examples are given to show the effectiveness of the proposed method.

Keywords:
Control theory (sociology) Fuzzy logic Fuzzy control system PID controller Control engineering Computer science Control (management) Engineering Artificial intelligence Temperature control

Metrics

31
Cited By
3.10
FWCI (Field Weighted Citation Impact)
40
Refs
0.96
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
Fault Detection and Control Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Advanced Control Systems Design
Physical Sciences →  Engineering →  Control and Systems Engineering

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