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This paper aims to the random and uncertain network delays, a novel approach is proposed that new Smith predictor combined with adaptive PID control with RBF neural network for networked control systems (NCS). This novel Smith predictor comes true to hide predictor models of the network delays into real network data transmission processes, therefore network delays donpsilat need to be measured, identified...
In order to availably restrain the impact of network delays for networked control systems (NCS), we propose a new approach that novel Smith predictor combined with the CMAC and PID control for the NCS. This method realized the feedback control by using traditional PID controller to enhance the stability and reject the disturbance, and realized the feedforward control by using CMAC neural network to...
This A novel approach to random, time-variant network delay in the networked control systems (NCSs) and a controlled plant is proposed in this paper. The approach is a new Smith predictor combined with fuzzy radial basis function neural network (FRBFNN) control. It can identify the controlled plant and adaptively adjusts weights of the controller. Because new Smith predictor hides predictor model...
This paper aims at time-variant or uncertain network delay in the networked control systems (NCS), a novel approach is proposed that new Smith predictor combined with back propagation neural network (BPNN) control.Because this new Smith predictor doesnpsilat include network delay model, therefore network delay doesnpsilat need to be measured, identified or estimated on-line, it is applicable to some...
In this paper, we consider the problem of stabilizing sufficiently smooth nonlinear time-invariant plants over a network whereby feedback is closed through a limited-bandwidth digital channel. Reliable packet switching networks are explicitly considered, for which both the time between consecutive accesses to each node (MATI) and the delay by which each data packet is received, processed, and fed...
Fuzzy control is simple in design, and has strong robustness. It can obtain ideal control effect in the case of not firmly knowing the system model, and can be applied to many nonlinear systems. In order to effectively restrain the impact of network delays for networked control systems (NCS), a novel approach is proposed that modified Smith predictor combined with fuzzy adaptive PID control for the...
The distributed control networks encounter nondeterministic delays in data communication between sensors, actuators and controllers, including direct-feedback control and higher level supervisor control. Aiming to uncertain network delays, time-variant or nonlinear controlled plant and imprecise Smith predictor models, a novel approach is proposed that modified Smith predictor combined with generalized...
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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