Safe control of logical control networks with random impulses.

Neural networks : the official journal of the International Neural Network Society(2023)

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摘要
Under the framework of a hybrid-index model, this paper investigates safe control problems of state-dependent random impulsive logical control networks (RILCNs) on both finite and infinite horizons, respectively. By using the ξ-domain method and the constructed transition probability matrix, the necessary and sufficient conditions for the solvability of safe control problems have been established. Further, based on the technique of state-space partition, two algorithms are proposed to design feedback controllers such that RILCNs can achieve the goal of safe control. Finally, two examples are shared to demonstrate the main results.
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关键词
Logical control networks,State-dependent random impulses,Safe control problems,Semi-tensor product of matrices
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