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In this paper, the output synchronization problem is investigated for a heterogeneous network. Specifically, the non-identical followers are affected by parameter perturbations and controlled to achieve output synchronization with an uncertain leader. We use the adaptive control theory and the robust output regulation theory to solve this problem. The proposed method includes two stages, which is...
This paper investigates the distributed consensus tracking problems of multi-agent systems on undirected graph with a fixed topology. Each follower is assumed to be in strict-feedback form with unknown state-dependent controlling effects. A distributed robust adaptive neural networks-based control scheme is designed to guarantee the consensus output tracking errors between the followers and the leader...
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