Journal
IEEE TRANSACTIONS ON FUZZY SYSTEMS
Volume 20, Issue 2, Pages 318-329Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TFUZZ.2011.2173694
Keywords
Exponential stability; fuzzy control; linear matrix inequalities (LMIs); spatially distributed processes; Takagi-Sugeno (T-S) fuzzy model
Funding
- National Basic Research Program of China (also called 973 Program) [2012CB720000]
- National Natural Science Foundation of China [61074057, 61121003, 51175519]
- Innovation Foundation of the Beijing University of Aeronautics and Astronautics (BUAA) for Ph.D. Graduates
- Research Grants Council of Hong Kong, SAR [CityU: 117310]
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This paper deals with the exponential stabilization problem for a class of nonlinear spatially distributed processes that are modeled by semilinear parabolic partial differential equations (PDEs), for which a finite number of actuators are used. A fuzzy control design methodology is developed for these systems by combining the PDE theory and the Takagi-Sugeno (T-S) fuzzy-model-based control technique. Initially, a T-S fuzzy parabolic PDE model is proposed to accurately represent a semilinear parabolic PDE system. Then, based on the T-S fuzzy model, a Lyapunov technique is used to design a continuous fuzzy state feedback controller such that the closed-loop PDE system is exponentially stable with a given decay rate. The stabilization condition is presented in terms of a set of spatial differential linear matrix inequalities (SDLMIs). Furthermore, a recursive algorithm is presented to solve the SDLMIs via the existing linear matrix inequality optimization techniques. Finally, numerical simulations on the temperature profile control of a catalytic rod are given to verify the effectiveness of the proposed design method.
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