Abstract: This paper presents a novel data-driven optimal output cluster synchronization control method for heterogeneous multi-agent systems with disturbances based on adaptive dynamic programming.
Abstract: This paper deals with the bipartite synchronization problem of cooperation-competition neural networks (CCNNs) subject to denial-of-service (DoS) attacks. A resilient sampled-data control ...
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