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- W4281551510 abstract "A product and supply chain synchronous evolution system (PSCSES) is a kind of complex distributed cyber-physical system (CPS), which contains several unmodeled dynamics and uncertainties, and the system structure and parameters are vulnerable to changes due to drastic demand fluctuations and unexpected network events. Thus, a product design change is an important way to maintain the stability of the synchronous evolution system to meet customers' demands and ensure economic efficiency. In this paper, the emergency change control problem of a distributed CPS-based PSCSES under DoS attacks is studied. First, an emergency change compensation mechanism in which a predictor based on recurrent neural networks is proposed to compensate for the lost inventory data caused by cyber-attacks. Second, the $H_{infty}$ consensus control problem is transformed into a multiplayer zero-sum graph game using game theory, and a Q-learning-based $H_{infty}$ consensus control protocol is designed, such that sufficient conditions that guarantee the consensus of the system can be derived. The bullwhip effects caused by the customers' demand and design change are analyzed thereby. Third, using the strategy iteration algorithm, the online solution is resolved for the controller design under the unknown model. Finally, the effectiveness of the proposed method is verified through the simulation of a collaborative production supply chain." @default.
- W4281551510 created "2022-05-27" @default.
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- W4281551510 date "2023-02-01" @default.
- W4281551510 modified "2023-09-26" @default.
- W4281551510 title "Data-driven change control design for product and supply chain synchronous evolution systems under cyber-attacks" @default.
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- W4281551510 doi "https://doi.org/10.1360/ssi-2021-0435" @default.
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