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| DOI：10.1007/s11768-010-9179-7 |
| Received:September 04, 2009Revised:September 04, 2009 |
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| Robust disturbance attenuation for uncertain nonlinear networked control systems |
| Dan HUANG,Sing Kiong NGUANG |
| (The Department of Electrical and Computer Engineering, The University of Auckland) |
| Abstract: |
| This paper considers the problem of robust disturbance attenuation for a class of uncertain nonlinear
networked control systems. Takagi-Sugeno fuzzy models are firstly employed to describe the nonlinear plant. Markov
processes are used to model the random network-induced delays and data packet dropouts. The Lyapunov-Razumikhin
method has been used to derive such a controller for this class of nonlinear systems such that it is stochastically stabilizable
with a disturbance attenuation level. Sufficient conditions for the existence of such a controller are derived in terms of
the solvability of bilinear matrix inequalities. An iterative algorithm is proposed to change this non-convex problem into
quasi-convex optimization problems, which can be solved effectively by available mathematical tools. The effectiveness of
the proposed design methodology is verified by a numerical example. |
| Key words: Networked control system Takagi-Sugeno fuzzy model Robust disturbance attenuation |
