JOURNAL ARTICLE

Analytical design of Takagi-Sugeno fuzzy control systems

Abstract

Based on the properties analysis of Takagi-Sugeno (T-S) fuzzy systems with two-overlapped fuzzy partition (TFP) inputs, an analytical design approach of T-S fuzzy control systems is proposed in this paper. This approach includes two parts: (1) a new method to check the stability of a T-S fuzzy control system which only requires to find a common positive-definite matrix in each maximal overlapped-rules group (MORG). This method can reduce the conservatism and difficulty of the former stability analysis methods. (2) The systematic design of T-S fuzzy controllers by means of the parallel distributed compensation (PDC) and linear matrix inequalities (LMI). The simulation results of a nonlinear mass-spring-damper system show that this approach is effective.

Keywords:
Control theory (sociology) Fuzzy control system Fuzzy logic Partition (number theory) Nonlinear system Stability (learning theory) Computer science Mathematics Control system Compensation (psychology) Fuzzy associative matrix Mathematical optimization Neuro-fuzzy Control (management) Engineering Artificial intelligence Machine learning

Metrics

9
Cited By
0.38
FWCI (Field Weighted Citation Impact)
10
Refs
0.72
Citation Normalized Percentile
Is in top 1%
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Citation History

Topics

Fuzzy Logic and Control Systems
Physical Sciences →  Computer Science →  Artificial Intelligence
Stability and Control of Uncertain Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Elasticity and Wave Propagation
Physical Sciences →  Engineering →  Mechanics of Materials

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