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- W2897629278 abstract "In this paper, we investigate the capabilities of feedback mechanism in dealing with uncertainties for network systems. The study of maximum capability of feedback control was pioneered in Xie and Guo (2000) for scalar systems with nonparametric nonlinear uncertainty. In a network setting, nodes with unknown and nonlinear dynamics are interconnected through a directed interaction graph. Nodes can design feedback controls based on all available information, where the objective is to stabilize the network state. Using information structure and decision pattern as criteria, we specify three categories of network feedback laws, namely the global-knowledge/global-decision, network-flow/local-decision, and local-flow/local-decision feedback. We establish a series of network capacity characterizations for these three fundamental types of network control laws." @default.
- W2897629278 created "2018-10-26" @default.
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- W2897629278 date "2018-07-01" @default.
- W2897629278 modified "2023-09-23" @default.
- W2897629278 title "Maximum Capability of Feedback Control for Network Systems" @default.
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- W2897629278 doi "https://doi.org/10.23919/chicc.2018.8483298" @default.
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