NDLI: Output tracking control for discrete-time nonlinear networked control systems via a non-PDC scheme

Content Provider	IEEE Xplore Digital Library
Author	Chi Xiaobo Jia Xinchun Zhang Su Wang Xiaokai
Copyright Year	2010
Description	Author affiliation: School of Mathematical Sciences, Shanxi University, Taiyuan 030006, china (Chi Xiaobo; Jia Xinchun; Zhang Su) \|\| College of Physics & Electronics Engineering, Shanxi University, Taiyuan 030006, china (Wang Xiaokai)
Abstract	This paper investigates the problem of fuzzy output tracking control for networked control systems with data packet dropout, where the controlled plant is a class of nonlinear discrete-time systems with external disturbances. In the proposed tracking control framework, the controlled plant and the tracked plant are distributed in a wide area, respectively. The data packet dropout phenomenon is assumed to occur in a random way, and the probability for each network channels is governed by an individual Bernoulli sequence. The Takagi and Sugeno (T-S) fuzzy model is employed to represent the controlled plant and a non-parallel distributed compensation (non-PDC) scheme is adopted for the output tracking control design. As a result, a new model with stochastic parameters is established. Then, a fuzzy Lyapunov function (FLF) is constructed to derive a sufficient condition such that the modified H∞ tracking performance is achieved for the closed-loop networked tracking control systems. Moreover, a numerical procedure based on cone complementarity linearization algorithm is given for the fuzzy tracking controller. Finally, a simulation example shows the effectiveness of the proposed tracking control scheme.
Starting Page	4452
Ending Page	4458
File Size	160222
Page Count	7
File Format	PDF
ISBN	9781424462636
e-ISBN	9787894631046
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-29
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Chinese Association of Aut
Subject Keyword	Symmetric matrices T-S Fuzzy Model Networked control systems Stochastic processes Data Packet Dropout Numerical models Linear matrix inequalities Electronic mail Output Tracking Control Nonlinear Networked Control Systems
Content Type	Text
Resource Type	Article

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