Intelligent Fuzzy Control with Multiple Constraints for a Model Car System with Multiplicative Disturbance
作者： Wen-Jer Chang , Po-Hsun Chen , Bo-Jyun Huang
DOI: 10.1007/978-3-319-05458-2_1
关键词: Fuzzy control system 、 Mathematical optimization 、 Computer science 、 Stability (learning theory) 、 Constraint (information theory) 、 Linear matrix inequality 、 Fuzzy logic 、 Computer simulation 、 Control theory 、 Fuzzy number
摘要: A multiple constrained fuzzy controller design methodology is developed in this paper to achieve state variance constraint and passivity for a model car system. The system considered represented by discrete-time Takagi-Sugeno with multiplicative disturbance. proposed accomplished using the technique of parallel distributed compensation. Based on compensation technique, sufficient conditions are derived constraint, stability performance simultaneously. By solving these linear matrix inequality controllers can be obtained At last, numerical simulation example provided illustrate feasibility validity control method.
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