Tracking control of multiple nonlinear systems via information interchange

This paper considers tracking control of multiple nonlinear systems with a desired trajectory which is not available to each system. With the aid of information interchange between systems, distributed robust/adaptive control laws are proposed such that the state of each system asymptotically converges to the desired trajectory. Simulation results show the effectiveness of the proposed control laws.