Event-triggered fuzzy filtering for a class of nonlinear networked control systems

The problem of event-triggered fuzzy filtering is investigated for a class of nonlinear networked control systems in this paper. The nonlinear networked control system is modeled as a T-S fuzzy system and a discrete event-triggered communication scheme is proposed to mitigate the utility of limited network bandwidth. A logic zero order holder is employed to choose the latest transmitted data packet and discard the disordering packet. Using time-delay system method - the discrete event-triggered communication scheme, the network-induced delay and the nonlinear system are unified into a networked T-S fuzzy time-delay system. Then, a new bounded real lemma is derived for this system based on a reciprocally convex approach. A new co-design method is developed for the triggering condition and the fuzzy filter, which guarantees the correspondent filtering error system being asymptotically stable with a prescribed disturbance attenuation level. Finally two examples are given to show the effectiveness of the proposed results.