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In this paper, a model-based event-triggered control law is adopted to reduce communication traffic in networked control systems. In this model-based control system, a nominal model of system plant is used to estimate the system state between two sampling instants. By simultaneously considering bounded system noise and bounded network delay, a mixed event-triggering mechanism is proposed to stabilize...
For the uncertain NCS with stochastic network delay less than one period, a sort of RBFNN-DSMC algorithm combining discrete sliding mode control and RBF neural network is presented. In view of the coupling influence of time-variable delay and plant model error as well as exterior disturbance, RBFNN is used to approach the equivalent disturbance online and output assistant control quantity so as to...
In this paper, the problem of delay-dependent stability for a class of networked control systems (NCSs) with uncertainties and time-varying delays is investigated. A continuous time model for a class of multi-input and multi-output (MIMO) NCSs with many independent sensors and actuators is proposed. Based on descriptor system approach combined with linear matrix inequality (LMI) techniques, a novel...
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