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• W2891411903 startingPage "4117" @default.
• W2891411903 abstract "In this paper, we investigate the output containment control problem for a network of heterogeneous linear multiagent systems. The control target is to drive the outputs of the followers into the convex hull spanned by the leaders. To this end, we first derive a necessary condition imposed on both system dynamics and network topology from the viewpoint of internal model principle. Then, based on the necessary condition, we utilize a dynamic controller to drive the outputs of the leaders and followers to track the reference trajectories to achieve containment exponentially. We consider a general network topology which only contains a united spanning tree. Both fixed and dynamic network topologies are taken into consideration. Then, the optimal control problem for containment is further studied. An optimal control law is constructed from an algebraic Riccati equation, which is proved to be a stabilizing one as well. Finally, a reinforcement learning algorithm is introduced to solve the optimal control problem on line without the knowledge the system dynamics. Simulations are given at last to validate our theoretical findings." @default.
• W2891411903 created "2018-09-27" @default.
• W2891411903 creator A5053071794 @default.
• W2891411903 creator A5070195520 @default.
• W2891411903 creator A5087531458 @default.
• W2891411903 date "2019-12-01" @default.
• W2891411903 modified "2023-10-17" @default.
• W2891411903 title "Output Containment Control for Heterogeneous Linear Multiagent Systems With Fixed and Switching Topologies" @default.
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• W2891411903 doi "https://doi.org/10.1109/tcyb.2018.2859159" @default.
• W2891411903 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30207972" @default.
• W2891411903 hasPublicationYear "2019" @default.
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