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- W4377079877 abstract "This article focuses on the mean-square consensus control problem for a class of discrete-time multiagent systems (DT-MASs) over time-correlated multistate Markovian fading channels, where the packet loss probability is time-varying and depends on the current channel state. In order to save limited network bandwidth, a compressed coding scheme is developed by preprocessing the measurement output. With the aid of a stochastic Lyapunov–Krasovskii functional, a sufficient condition is first obtained under which the consensus error system is mean-square stable for DT-MASs over identical fading channels. Then, the consensus gain is formulated as the feasible solution to a set of linear matrix inequalities (LMIs) whose dimensions are independent of the number of agents. Furthermore, for the case that agents communicate over nonidentical fading channels, the mean-square consensus problem is transformed into an analyzable edge agreement issue in the mean-square sense by means of properties of the edge Laplacian combined with a mapping technique. Next, a sufficient condition is derived to ensure the mean-square consensus performance, based on which the existence of the controller can be guaranteed by the feasibility of a set of LMIs. Finally, the validity and feasibility of the developed design scheme are shown by two illustrative examples." @default.
- W4377079877 created "2023-05-20" @default.
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- W4377079877 date "2023-09-01" @default.
- W4377079877 modified "2023-10-17" @default.
- W4377079877 title "Consensus Control of Discrete-Time Multiagent Systems Over Correlated Fading Channels: A Compressed Coding Scheme" @default.
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- W4377079877 doi "https://doi.org/10.1109/tsmc.2023.3274294" @default.
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