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In this paper, we investigate the ℋ∞ filtering problem of discrete-time Takagi-Sugeno (T-S) fuzzy systems in a network environment. Different from the well used assumption that the normalized fuzzy weighting function for each subsystem is available at the filter node, we consider a practical case in which not only the measurement but also the normalized fuzzy weighting functions are transmitted via...
This paper deals with the problem of robust stabilization for a class of uncertain networked control systems (NCSs) with random time delay via the static output feedback control. A novel switching control approach is proposed by modeling the random delay as a Markov process. The resulting closed-loop system is a Markovian jump linear system (MJLS) with random delay. Based on Lyapunov stability theorem...
For the multi-packet transmission networked control systems with uncertain short time delay and data dropouts, system modeling and control problem is studied on the condition that packet transmission using dynamic scheduling strategy. Supposing that the packet transmission process has the Markov characteristic, it is modeled as a class of discrete Markov jumping system with parameter uncertainty....
In this paper, a novel sliding mode observer-based fault estimation (FE) method is presented for a class of the nonlinear networked control systems (NCSs) with Markov transfer delays. First, the nonlinear NCS is modelled by a nonlinear discrete Takagi-Sugeno (T-S) fuzzy model using Euler approximate method. Then, a sliding mode based nonlinear discrete observer is proposed such that the sliding motion...
A new control mode is proposed for networked control systems whose network-induced delay is longer than a sampling period. The proposed control mode can make full use of control information and improve the performance of the system. A time-division algorithm is presented to implement the control mode and mathematical modeling. Markov characteristic of the transfer delay in the system is discussed...
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