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Safe control of logical control networks with random impulses.
Zhou, Rongpei; Guo, Yuqian; Wang, Yuhao; Sun, Zejun; Liu, Xinzhi.
Afiliação
  • Zhou R; School of Information Engineering, Nanchang University, Nanchang, Jiangxi, 330031, China. Electronic address: zhourp@ncu.edu.cn.
  • Guo Y; School of Automation, Central South University, Changsha, Hunan, 410083, China. Electronic address: gyuqian@csu.edu.cn.
  • Wang Y; School of Information Engineering, Nanchang University, Nanchang, Jiangxi, 330031, China. Electronic address: wangyuhao@ncu.edu.cn.
  • Sun Z; School of Information Engineering, Pingdingshan University, Pingdingshan, Henan, 467000, China. Electronic address: szj@pdsu.edu.cn.
  • Liu X; Department of Applied Mathematics, University of Waterloo, Waterloo, Ontario, Canada N2L 3G1. Electronic address: xzliu@uwaterloo.ca.
Neural Netw ; 165: 884-895, 2023 Aug.
Article em En | MEDLINE | ID: mdl-37433232
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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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Algoritmos / Redes Neurais de Computação Tipo de estudo: Clinical_trials / Prognostic_studies Idioma: En Revista: Neural Netw Assunto da revista: NEUROLOGIA Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Algoritmos / Redes Neurais de Computação Tipo de estudo: Clinical_trials / Prognostic_studies Idioma: En Revista: Neural Netw Assunto da revista: NEUROLOGIA Ano de publicação: 2023 Tipo de documento: Article