Decentralized fuzzy H∞ filtering for networked interconnected systems under communication constraints

Abstract

This study investigates decentralized fuzzy H∞ filtering for a class of network-based interconnected systems. The considered system has the following main features: (1) it is a nonlinear system approximated by a T–S fuzzy model; (2) subsystems are connected through wired or wireless networks and therefore signal transfer in/among subsystems is subject to communication delay and/or packet loss; and (3) the network transmission capacity is limited. A discrete decentralized event-triggering scheme (DDETS) is proposed to overcome the network bandwidth limitation, which can reduce data transmission in subsystems effectively. By employing the above main features and using the DDETS, a new system model is proposed. Then the Lyapunov functional approach is applied to development of two stability conditions (Theorems 1 and 2), which are used to design filters and triggering matrices of each subsystem simultaneously. Finally, an example is used to demonstrate the application of the proposed method.