Event - Triggered Control of Distributed Networked Control Systems with Time-varying Coupling Strength

Abstract

Control of interconnected system communicating over limited network resources and having limited energy is a challenging task. With this objective, an event-triggering strategy for control of nonlinear distributed networked systems with time-varying coupling strength has been proposed in this paper. In the proposed methodology, the nonlinear subsystems are modelled through Takagi-Sugeno fuzzy approximation technique and the event-triggered controller is developed using parallel distributed compensation. A state based event-triggering strategy is proposed wherein each subsystem transmits its information over a network only when its local error exceeds a predetermined threshold value. This paper addresses the co-design problem of triggering parameters and feedback controller gain of nonlinear distributed networked systems with time-varying coupling strength. The efficacy of the results is validated via a simulation example.