Distributed output feedback tracking control of uncertain nonlinear multi-agent systems with unknown input of leader

摘要: This paper considers the distributed tracking control of uncertain nonlinear multi-agent systems in presence unmeasured states and unknown input leader over an undirected network. By approximating dynamics via neural network constructing a local observer to estimate states, output feedback controllers, with static dynamic coupling gains, respectively, are proposed, based on relative observed neighboring agents. It is proved that developed state each agent synchronizes for any connected graphs even when only fraction agents have access information leader, errors uniformly ultimately bounded. A sufficient condition existence controllers stabilizable detectable. Future works include extension directed topologies.