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

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. (C) 2019 Elsevier B.V. All rights reserved.