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

• Published in: Signal processing 2015-08, Vol.113, p.159-168
• Main Authors: Wang, Huijiao, Shi, Peng, Zhang, Jianhua
• Format: Article
• Language: English
• Subjects: Communication systems; Control systems; Event-triggered communication scheme; Filtering; Filtration; Fuzzy; Fuzzy filter; Fuzzy logic; Fuzzy set theory; Networked control systems; Nonlinearity; Reciprocally convex approach; T–S fuzzy systems
• ISSN: 0165-1684; 1872-7557
• DOI: 10.1016/j.sigpro.2015.01.025

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. •A discrete event-triggered communication scheme is proposed to mitigate the utility of limited network bandwidth.•T-S fuzzy modeling and time-delay analysis methods are used to unify the nonlinear networked control system.•Based on reciprocally convex approach, the fuzzy filter and the event-triggered condition can be co-designed.