Adaptive consensus algorithms for heterogeneous second-order multi-agent systems

We investigate the consensus problem of heterogeneous second-order multi-agent systems under undirected and symmetric interconnection topology, and construct two adaptive consensus algorithms by introducing an adaptive variable into the usual dynamical consensus algorithm. Sufficient and necessary consensus criteria are obtained for two algorithms respectively based on matrix theory and graph theory. Numerical examples illustrate the validity of the theoretical results.