Iterative learning based consensus control for distributed parameter multi-agent systems with time-delay

Abstract This paper concerns about the iterative learning consensus control scheme for a class of multi-agent systems (MAS) with delay distributed parameter models. First, based on the framework of network topologies and using the nearest neighbor knowledge, a second-order iterative learning consensus control protocol is proposed. Next, under the proposed controller, a discrete dynamic system with respect to the iteration number variable is established and the consensus control problem is then converted to a stability problem of a discrete dynamic system. Furthermore, a sufficient condition for the convergence of the consensus errors between any two agents is obtained. Finally, the simulation examples illustrate the validity of the proposed method.

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