Secure aperiodic sampling delay H_∞consensus control for T-S fuzzy multi-agent systems with actuator faults: Its application to intelligent multi-ship steering unmanned pilots

This research aims to analyze the problems of secure based an aperiodic memory sampled-data controller (AMSDC) design for Takagi-Sugeno (T-S) fuzzy multi-agent systems (FMASs) against actuator fault and external disturbances. To this last, main issue, including transmission delays and abnormal deception cyber attacks (ADCAs) occurring in the transmission network are given priority consideration during the design of the controller scheme. In order to obtain this, a new enhanced looped-type Lyapunov functional (LTLF) is proposed that utilizes not only sampling information but also incorporates both transmission delay information. Meanwhile, a novel fuzzy AMSDC method for FMASs is proposed to achieve consensus performance against ADCAs, minimize unnecessary communication, and enhance communication efficiency. Next, by employing the proposed technique, some sufficient conditions are tackled in the form of linear matrix inequalities (LMIs) such that the derived closed-loop systems achieves consensus with H_∞-attenuation level σ under the circumstances of ADCAs. The utility and superiority of the proposed method are confirmed through numerical studies using a T-S fuzzy model of unmanned multi-ship steering.