Titlebook: Robust Control for Uncertain Networked Control Systems with Random Delays; Dan Huang,Sing Kiong Nguang Book 2009 Springer-Verlag London 20

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Dynamic Output Feedback Control for Uncertain Networked Control Systemsgn procedure of a robust dynamic output feedback controller for linear NCSs is presented in this chapter. The sampling effects and the resulting system delays are incorporated into the design procedure. A system transformation approach is applied to convert the hybrid system which consists of both c

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Robust Disturbance Attenuation for Uncertain Networked Control Systemse this information to solve the problem. The other is to attenuate the effects caused by delay disturbances when the delays cannot be effectively used or obtained. Furthermore, the problem of performance controlwith disturbance attenuation for time-delay systems has gathered much attention in recent

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Robust Filter Design for Uncertain Networked Control Systems be determined by direct observation. Instead, indirect effects of the internal state are observed by way of the system outputs. In this sense, a filter is a system that estimates the values of internal systems variables that are not measured from the available outputs [86, 115]. More precisely, the

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Robust Fault Estimator Design for Uncertain Networked Control Systemsave to be made. This gives the rise to the research on fault detection and isolation (FDI) and in recent years, the problem has attracted lots of attention from researchers. Among them, the model-based approach is the common approach, see survey papers [88, 89, 90]. The prime importance [116, 117] i

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State Feedback Control for Uncertain Nonlinear Networked Control Systemstion networks in the continuous-time domain. Linear feedback control techniques can be utilized as in the case of feedback stabilization. The design procedure is stated as follows. First the nonlinear plant is represented by a T-S fuzzy model. In this type of fuzzy model, local dynamics in different

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Robust Disturbance Attenuation for Uncertain Nonlinear Networked Control Systemsod has been employed to derive such a controller for this class of systems such that it is stochastically stabilizable with a disturbance attenuation level . . Sufficient conditions for the existence of such a controller for this class of NCSs are derived in terms of the solvability of BMIs.

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Robust Fuzzy Filter Design for Uncertain Nonlinear Networked Control Systemshapter 6. The nonlinear plant is firstly represented by a set of local linear models based on the T-S fuzzy modeling technique presented in Chapter 7. We then proceed to the design of robust fuzzy filters for the system. By applying Lyapunov–Razumikhin method, the existence of a delay-dependent filt