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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...
In this paper, adaptive tracking control is investigated for a class of nonlinear time-delay systems with actuator saturation nonlinearity. The uncertain time-delay function is bounded by a nonlinear function with unknown coefficients. The actuator saturation nonlinearity is assumed to be nonsymmetric and unknown. Neural network approximation techniques are utilized to compensate the saturation nonlinearity...
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...
The problem of robust decentralized reliable Hinfin control is investigated for nonlinear uncertain interconnected systems with state time-varying delays. By conducting proper Lyapunov universal function, we present a group of linear matrix inequality(lIMs) which have the solution as sufficient conditions to stabilize the closed-loop system asymptotically and have the Hinfin property, giving the condition...
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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