Global Adaptive Fuzzy Distributed Tracking Control for Interconnected Nonlinear Systems With Communication Constraints

摘要

This paper investigates the adaptive distributed tracking control problem for a class of interconnected nonlinear systems with communication constraints where the subsystems are allowed to exchange output information only when the tracking error exceeds a given threshold. Considering the communication constraints problem, a novel adaptive distributed control method is developed. In this framework, a fuzzy adaptive controller is designed within a given compact set to compensate the unknown mismatching interconnections. Specially, to achieve the global tracking performance, a robust controller is activated outside the compact set to pull back the system states. By using the Lyapunov stability theory and the modification technique, it is proven that the tracking errors are globally asymptotically convergent and all the signals in the resulting closed-loop system are bounded. Finally, the effectiveness of the proposed method is demonstrated by two examples.