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The paper aims to present a new scheme of synchronization-based topology identification for a class of weighted general complex dynamical networks with time-varying coupling delays. By combining the adaptive control method and the Razumikhin-type theorem, a new feedback technique to identify the exact topology of the dynamical networks with time-varying coupling delay has been proposed. In comparison...
Traditional PID control can not meet the control requirement of time-varying process with transport delay. Neural network related algorithms are difficult to be implemented in distributed measurement and control based on fieldbus. A kind of adaptive predicative identification control algorithm based on single neuron was proposed in this paper. A single neuron was used to implement the dynamic identification...
In this brief, the identification problem for time-varying delay nonlinear system is discussed. We use a delayed dynamic neural network to do on-line identification. This neural network has dynamic series-parallel structure. The stability conditions of on-line identification are derived by Lyapunov-Krasovskii approach. The weights of the delayed neural network are updated by the identification error...
In this brief, the identification problem for time-varying delay nonlinear system is discussed. We use a delayed dynamic neural network to do on-line identification. This neural network has dynamic series-parallel structure. The stability conditions of on-line identification are derived by Lyapunov-Krasovskii approach. The weights of the delayed neural network are updated by the identification error.
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