Output-Based Ultimate Boundedness Control of T-S Fuzzy Systems Under Deception Attacks and Event-Triggered Mechanism

This paper studies ultimate boundedness output feedback control of T-S fuzzy systems under event-triggered mechanism and stochastic deception attacks. Firstly, using both state-relative information and state-irrelative information, a general event-triggered mechanism (ETM) is proposed, which can save system resources such as network bandwidth, and exclude Zeno behavior absolutely. Secondly, a closed-loop system model is established, which integrates parameters of the ETM, random deception attacks, network-induced delays and fuzzy controller in a unified framework. Thirdly, exponentially ultimately bounded stability conditions in mean square are obtained, and design method for a fuzzy dynamic output feedback controller is presented. Finally, example confirms effectiveness of the proposed methods.