Abstract
A multiple constrained fuzzy controller design methodology is developed in this paper to achieve state variance constraint and passivity constraint for a model car system. The model car system considered in this paper is represented by a discrete-time Takagi-Sugeno fuzzy model with multiplicative disturbance. The proposed fuzzy controller is accomplished by using the technique of parallel distributed compensation. Based on the parallel distributed compensation technique, the sufficient conditions are derived to achieve variance constraint, passivity constraint and stability performance constraint, simultaneously. By solving these sufficient conditions with linear matrix inequality technique, the multiple constrained fuzzy controllers can be obtained for the model car system. At last, a numerical simulation example is provided to illustrate the feasibility and validity of the proposed fuzzy control method.
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Chang, WJ., Chen, PH., Huang, BJ. (2014). Intelligent Fuzzy Control with Multiple Constraints for a Model Car System with Multiplicative Disturbance. In: Nguyen, N.T., Attachoo, B., Trawiński, B., Somboonviwat, K. (eds) Intelligent Information and Database Systems. ACIIDS 2014. Lecture Notes in Computer Science(), vol 8398. Springer, Cham. https://doi.org/10.1007/978-3-319-05458-2_1
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DOI: https://doi.org/10.1007/978-3-319-05458-2_1
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