Secure Observer-Assisted Fuzzy Tracking Control for Non-Linear Networked Systems With Event- and Protocol-Based Communication

Abstract

In this paper, the secure observer-assisted Takagi-Sugeno (T-S) fuzzy tracking control issue for non-linear networked control systems (NCSs) with communication constraints is comprehensively investigated. Firstly, to deal with the limited network bandwidth, a novel two-stage data transmission scheme (TS-DTS), which employs an adaptive event-triggered mechanism (AETM) and round robin (RR) protocol, is proposed to effectively reduce bandwidth pressure as well as to avoid potential data collision. Meanwhile, considering the frequent occurrence of cyber attacks in a networked environment, deception attack that seriously threats the data integrity is particularly concerned and elaborately modeled. Then, an augmented T-S fuzzy system is constructed based on designing the framework of the observer-assisted tracking controller in aid of solving the considered problem. Subsequently, the observer and controller gains are devised with the analysis of sufficient conditions for the stability and $H_{\infty }$ tracking control performance of the established system. A simulation example is finally conducted to verify the availability of the proposed T-S fuzzy tracking control approach.