Distributed Formation Recovery Control of Heterogeneous Multiagent Euler-Lagrange Systems Subject to Network Switching and Diagnostic Imperfections

This brief is concerned with the design of distributed formation recovery control laws for nonlinear heterogeneous multiagent Euler-Lagrange (EL) systems that are simultaneously subject to: 1) diagnostic information imperfections and unreliabilities; 2) parametric uncertainties and external disturbances; and 3) random switching of communication network topologies. The proposed recovery control techniques ensure both state synchronization and set-point tracking of a team of multiagent systems, while the agents have access only to local information. Our results are obtained for both fixed and switching communication network topologies. Distributed control recovery solutions for a general class of nonlinear multiagent EL systems have not been investigated earlier in the literature under the above simultaneous three realistic scenarios. The simulation results for the attitude control of a network of eight spacecraft tasked in a formation flying mission subject to communication topology switching demonstrate the effectiveness and capabilities of our proposed distributed recovery control strategies.