Modified average-consensus of generalized second-order and high-order multi-agent systems

Abstract

Addressed in the present paper is the modified average-consensus problem of two types of discrete-time multi-agent system (DTMAS) models: generalized second-order DTMAS and generalized high-order DTMAS. It is first shown that, by using a doubly stochastic scaling algorithm, a generalized second-order DTMAS can achieve the desired average-consensus with the assumption that the underlying topology is strongly connected. The result is then extended to generalized high-order DTMAS. Finally, a simulation example is given to illustrate the correctness of theoretical derivation.