Title :
Stable Fuzzy Adaptive Controller Design For Nonlinear Singularly Perturbed Systems
Author :
Li, Li ; Sun, Fuchun
Author_Institution :
Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing
Abstract :
In this paper, the singularly perturbed systems are decomposed into slow and fast subsystems. An adaptive fuzzy controller is designed for slow subsystems to satisfy the tracking requirement. To alleviate the tracking error, the controller is constructed by T-S fuzzy model system since it has superior approximation performance than Mamdani system. As for fast subsystem, a fuzzy controller is developed to stabilize the fast states. To guarantee the stability of the SP systems, Lyapunov composite technique is proposed
Keywords :
Lyapunov methods; adaptive control; control system synthesis; fuzzy control; nonlinear control systems; singularly perturbed systems; Lyapunov composite technique; Mamdani system; SP system stability; T-S fuzzy model system; nonlinear singularly perturbed systems; stable fuzzy adaptive controller design; tracking error; Adaptive control; Control systems; Fuzzy control; Fuzzy systems; Nonlinear control systems; Optimal control; Programmable control; Sliding mode control; Stability; Systems engineering and theory; Adaptive fuzzy control; T-S model; nonlinear singularly perturbed systems;
Conference_Titel :
Computational Engineering in Systems Applications, IMACS Multiconference on
Conference_Location :
Beijing
Print_ISBN :
7-302-13922-9
Electronic_ISBN :
7-900718-14-1
DOI :
10.1109/CESA.2006.4281855
