Switching to improve performance in a class of networked decentralized adaptive systems

Abstract

In this paper, we deal with the adaptive control of a class of decentralized systems in the presence of a wireless network between the output sensors and the local controller to each subsystem, and when the parameters of other subsystems are assumed to be unknown. Both network-induced packet delay and packet dropout are considered. Switching between actual information and locally available information is the key to the proposed adaptive laws. The multiple models, switching, and tuning methodology is required for further improving the transient performance.