IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Consensus of multiagent systems and synchronization of complex networks: a unified viewpoint
IEEE Transactions on Circuits and Systems Part I: Regular Papers
Neural-network-based adaptive leader-following control for multiagent systems with uncertainties
IEEE Transactions on Neural Networks
Brief paper: Distributed adaptive control for synchronization of unknown nonlinear networked systems
Automatica (Journal of IFAC)
Tracking control for multi-agent consensus with an active leader and variable topology
Automatica (Journal of IFAC)
Adaptive cooperative tracking control of higher-order nonlinear systems with unknown dynamics
Automatica (Journal of IFAC)
IEEE Transactions on Neural Networks
Hi-index | 0.00 |
This paper considers the distributed tracking control of uncertain nonlinear multi-agent systems in the presence of unmeasured states and unknown input of the leader over an undirected network. By approximating the uncertain nonlinear dynamics via neural network and constructing a local observer to estimate the unmeasured states, distributed output feedback tracking controllers, with static and dynamic coupling gains, respectively, are proposed, based on the relative observed states of neighboring agents. It is proved that with the developed controllers, the state of each agent synchronizes to that of the leader for any undirected connected graphs even when only a fraction of the agents in the network have access to the state information of the leader, and the distributed tracking errors are uniformly ultimately bounded. A sufficient condition to the existence of the distributed controllers is that each agent is stabilizable and detectable. Future works include an extension to the directed network topologies.