%0 Journal Article
%T Robust fuzzy tracking control for nonlinear networked control systems with integral quadratic constraints<br>
%A Zhi-Sheng Chen
%A Yong He
%A Min Wu
%A <br>
%J 国际自动化与计算杂志
%D 2010
%I 
%X This paper investigates the robust tracking control problem for a class of nonlinear networked control systems (NCSs) using the Takagi-Sugeno (T-S) fuzzy model approach. Based on a time-varying delay system transformed from the NCSs, an augmented Lyapunov function containing more useful information is constructed. A less conservative sufficient condition is established such that the closed-loop systems stability and time-domain integral quadratic constraints (IQCs) are satisfied while both time-varying network-induced delays and packet losses are taken into account. The fuzzy tracking controllers design scheme is derived in terms of linear matrix inequalities (LMIs) and parallel distributed compensation (PDC). Furthermore, robust stabilization criterion for nonlinear NCSs is given as an extension of the tracking control result. Finally, numerical simulations are provided to illustrate the effectiveness and merits of the proposed method.
%K Nonlinear networked control system
%K fuzzy model
%K robust tracking
%K integral quadratic constraint
%K linear matrix inequality<br>
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=7139AD613512F4F05F6D525B914296AA&aid=D6DE0F63D1E045E2F558276AF8C3097F&yid=140ECF96957D60B2&vid=DF92D298D3FF1E6E&iid=E158A972A605785F&sid=4A2356A1257A12EB&eid=A03A15CF5604A8B0&journal_id=1476-8186&journal_name=国际自动化与计算杂志&referenced_num=0&reference_num=37