Fuzzy Robust Tracking Control for Uncertain Nonlinear Time-Delay System | Zendy

Zhenbin Du | Zendy; Tsung Chih Lin | Zendy; Tiebiao Zhao | Zendy

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Fuzzy Robust Tracking Control for Uncertain Nonlinear Time-Delay System

Author(s) -

Zhenbin Du,

Tsung Chih Lin,

Tiebiao Zhao

Publication year - 2015

Publication title -

international journal of computers communications and control

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.422

H-Index - 33

eISSN - 1841-9844

pISSN - 1841-9836

DOI - 10.15837/ijccc.2015.6.2072

Subject(s) - control theory (sociology) , fuzzy logic , nonlinear system , mathematics , fuzzy control system , bounded function , scheme (mathematics) , controller (irrigation) , robust control , stability (learning theory) , computer science , control (management) , artificial intelligence , mathematical analysis , physics , quantum mechanics , machine learning , agronomy , biology

The problem of fuzzy robust tracking control is investigated for uncertain nonlinear time-delay systems. The nonlinear time-delay system is modeled as uzzy Takagi-Sugeno (T-S) system, and fuzzy logic systems are used to eliminate the ncertainties of the system. A sufficient condition for the existence of fuzzy controller s given in terms of linear matrix inequalities (LMIs) and adaptive law. Based on yapunov stability theorem, the fuzzy control scheme guarantees the desired tracking erformance in sense that all the closed-loop signals are uniformly ultimately bounded (UUB). Simulation results of 2-link manipulator demonstrate the effectiveness of the eveloped control scheme.

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