JOURNAL ARTICLE

Takagi-Sugeno fuzzy gain scheduling with sampling-time uncertainties

Abstract

This paper addresses the robust fuzzy control problem for discrete-time nonlinear systems in the presence of sampling time uncertainties. The case of the discrete T-S fuzzy system with sampling-time uncertainty is considered and a robust controller design method is proposed. The sufficient conditions and the design procedure are formulated in the form of linear matrix inequalities (LMI). The effectiveness of the proposed controller design methodology is demonstrated of a visual-servoing control problem.

Keywords:
Control theory (sociology) Fuzzy logic Discrete time and continuous time Fuzzy control system Computer science Mathematical optimization Sampling (signal processing) Robust control Nonlinear system Linear matrix inequality Scheduling (production processes) Robustness (evolution) Mathematics Control (management) Artificial intelligence Statistics

Metrics

2
Cited By
0.94
FWCI (Field Weighted Citation Impact)
7
Refs
0.82
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
Advanced Control Systems Design
Physical Sciences →  Engineering →  Control and Systems Engineering

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