Coordinated tracking for data-sampled multi-agent systems with Markovian switching topologies
Huanyu Zhao, Baoyong Zhang · 2014
This paper studies the coordinated tracking problem for multi-agent systems in a sampled-data setting. The interaction topologies are assumed to be governed by a Markov chain. The leader's state considered is time varying. We present necessary and sufficient conditions for boundedness of the tracking error systems. An optimization algorithm is given to derive the allowable control gains.