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For a class of nonlinear networked control system (NCS) with network-induced delay and packed dropout, which is influenced by external disturbance with limited energy in transmission, a T-S fuzzy model is employed to represent the nonlinear controlled plant. By using appreciate Lyapunov-Krasovskii function, a H∞ integrality sufficient condition against actuator failures is derived based on delay-dependent...
A Delay-fractioning-dependent method is proposed to investigate the stability and stabilization for nonlinear networked control systems (NNCSs), which are presented in the form of T-S fuzzy model with time-varying input delay. Different from the existing method in dealing with the time-varying delay, the whole variation interval of the delay is divided into two subintervals with equal length. Respecting...
This paper aims to the random and uncertain network delay, as well as controlled plant might be time-variant or nonlinear, a novel approach is proposed that novel Smith predictor combined with the radial basis function neural network (RBFNN) control for the networked control systems (NCS). This novel Smith predictor comes true to hide predictor models of the network delays of the forward and return...
This paper mainly concerns with the analysis and design for a class of nonlinear networked control systems (NCSs), which can be represented by a T-S fuzzy model with interval time-varying network delay. By using the convexity of the matrix function, the conservatism caused by enlarging?? (t) to ??M can be avoided. The controller parameters that guarantee the asymptotical stability and the performance...
Networked control systems have many advantages, however, the existence of network-induced delays due to sharing a common network medium may degrade performance of systems and even cause instability of systems. Problem of the absolute stability of networked control systems with the controlled plant being a special class of nonlinear systems-Lurie systems is studied in this paper, where the considered...
Network delay highly degrades the control performance of networked control systems (NCS). Aiming to random and uncertain network delay, time-variant or nonlinear controlled plant and imprecise Smith predictor models, a novel approach is proposed that modified Smith predictor combined with fuzzy radial basis function neural network (FRBFNN). This approach can identify the controlled plant on-line,...
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