$H_\infty$ Output Consensus for Markov Jump Multiagent Systems With Uncertainties

This paper investigates the H_∞ output consensus problem for multiagent systems with Markov jump and external disturbance in both continuous-time and discrete-time domains. The communication network is directed and fixed with uncertainties. Based on the hidden Markov model, an output feedback controller is constructed. Then, the original system is transformed into a reduced-order system, which features the error dynamics. By using a Lyapunov function, sufficient conditions are developed to ensure that all agents can reach the consensus with the desired H_∞ performance in the mean-square sense. Finally, simulation results are presented to illustrate the efficiency of the proposed approaches.