FUZZY CONTROL FOR INPUT CONSTRAINED PASSIVE AFFINE TAKAGI-SUGENO FUZZY MODELS: AN APPLICATION TO TRUCK-TRAILER SYSTEM
This paper describes a design of fuzzy controller for the input constrained discrete nonlinear passive systems via affine Takagi-Sugeno (T-S) fuzzy models. The stability conditions are derived based on Lyapunov and passive theories for the closed-loop system. The fuzzy controller design is accomplished by using the concept of Parallel Distribution Compensation (PDC). According to the proposed fuzzy control approach, the controlled system can achieve passive property and the input constraint, simultaneously. The Iterative Linear Matrix Inequality (ILMI) algorithm is applied in this paper to find the feasible solutions for the proposed fuzzy controller design approach. At last, a numerical simulation to the trucktrailer system is provided to demonstrate the applicability and effectiveness of the proposed fuzzy control methodology.
Chang, Wen-Jer; Ku, Cheung-Chieh; and Huang, Chien-Hsun
"FUZZY CONTROL FOR INPUT CONSTRAINED PASSIVE AFFINE TAKAGI-SUGENO FUZZY MODELS: AN APPLICATION TO TRUCK-TRAILER SYSTEM,"
Journal of Marine Science and Technology: Vol. 19:
5, Article 3.
Available at: https://jmstt.ntou.edu.tw/journal/vol19/iss5/3