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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...
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...
It is well known that networked control system can be modeled as a discrete model with a multiple steps delay in two control items when the network-induced delay is longer than a sampling period. Based on this discrete model with a multiple delay in two control items, a new model of networked control systems is got by two steps transformation. One control item with time delay is disappeared in this...
Wired and wireless network delays highly degrade the control performance of hybrid networked control systems(HNCS). In order to effectively restrain impact of network delay for the HNCS, a novel approach is proposed that new Smith predictor combined with fuzzy radial basis function neural network (FRBFNN), and comes true delay compensations. Because new Smith predictor does not include network delay...
This paper presents a neural network implementation of the delay compensator to reduce the variable sampling to actuation delay effects in networked control systems. The compensator action is based on the knowledge of the sampling to actuation delay affecting the system and the control signal. It can be easily added to an existing control system that does not account for the sampling to actuation...
The random time delays induced by the network transmission in networked control system (NCS) degrade control performance and can even destabilize the control system. With regards to the long time delay, a distributed model is constructed in this paper. The advanced predictive functional control (PFC) algorithm is introduced in the controller nodes. The network-induced long time delays are specifically...
In this paper, the mathematical model of networked control systems with time-varying sampling periods and delays that they are driven by two Markov chains are established, the necessary and sufficient conditions ensuring the stochastic stability of systems are presented, and the controller design ensuring the stochastic stability of systems is also proposed by using the cone complementarity linearization...
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...
By means of event-time driven based the model of networked control systems. Based on the controlling of the invariant networked-delay, using the predictive control value and the predictive feedback value according to the variable network-induced delay given the corresponding state transfer matrix of the networked control system, at the same time studied the condition of the stability of the networked...
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