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Data-driven optimal group output synchronization control for discrete-time heterogeneous multi-agent systems under switching topologies
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DOI：10.1016/j.isatra.2025.10.031.png)
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Abstract
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• The group output synchronization of discrete-time multi-agent systems is transformed into an output regulation problem, and control laws are designed using data-driven methods. • Switching topology is first considered in the group output synchronization of multi-agent systems. • The value iterative reinforcement learning algorithm is used to avoid the use of system dynamics information. • The adaptive distributed observer is introduced that relies exclusively on the states of each agent and its neighbors.
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