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T-S Fuzzy Control of Uncertain Nonlinear Networked Control Systems

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3 Author(s)
Weihua Deng ; Sch. of Mechatronical Eng. & Autom., Shanghai Univ., Shanghai ; Minrui Fei ; Kang Li

This paper investigates the stabilization of nonlinear networked control systems (NCSs) subject to two types of uncertainties. Firstly, the nonlinear NCS is modeled as a continuous-time Takagi-Sugeno (T-S) fuzzy system, and network-induced delays are represented using fuzzy rules which are designed by the parallel distributed compensation (PDC) technique. Then the norm-bounded uncertainty existing in model of the plant is considered, and corresponding state-feedback fuzzy controller is designed with guaranteed stability. Simulation result confirms the efficacy of the proposed fuzzy controller.

Published in:

Advanced Computer Control, 2009. ICACC '09. International Conference on

Date of Conference:

22-24 Jan. 2009