JOURNAL ARTICLE

Output Direct Feedback Control for Takagi-Sugeno Fuzzy Systems

Abstract

This paper presents a systematic design method of output direct feedback controllers for Takagi-Sugeno (T-S) fuzzy systems. The direct use of the output measurements to produce the input signal to the controller avoids the requirement for measuring or reconstructing the entire state vector so as to decrease the complexity of the controller. In order to use the structural information in the rule base to decrease the conservatism of the stability analysis, the standard fuzzy partition (SFP) is employed to the premise variables of fuzzy systems. New stability analysis and design methods of output direct feedback controllers are presented and applied to a nonlinear mass-spring-damper mechanical system. The simulation results show that these methods are effective.

Keywords:
Control theory (sociology) Fuzzy control system Fuzzy logic Nonlinear system Computer science Controller (irrigation) Partition (number theory) Control engineering Stability (learning theory) Mathematics Engineering Control (management) Artificial intelligence Machine learning

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Citation History

Topics

Fuzzy Logic and Control Systems
Physical Sciences →  Computer Science →  Artificial Intelligence
Adaptive Control of Nonlinear Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Vehicle Dynamics and Control Systems
Physical Sciences →  Engineering →  Automotive Engineering
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