Data‐Driven Consensus for Markov Jump Singularly Perturbed Multi‐Agent Systems: A Novel Parallel Hybrid Learning Scheme
In this article, a novel parallel hybrid learning method is applied to tackle the optimal consensus problem of singularly perturbed multi‐agent systems with Markov jump parameters. First, a distributed optimization scheme applied in multi‐agent systems is proposed. The optimal consensus problem of multi‐agent systems...