Adaptive Dynamic Event-Triggered Predefined-Time Control for Nonstrict-Feedback Nonlinear Systems With Sensor and Actuator Attacks

This paper focuses on the problem of adaptive predefined-time control for nonstrict-feedback nonlinear systems with sensor and actuator attacks under dynamic event-triggered framework. The property of the fuzzy logic system is employed to address the algebraic loop problem deriving from the nonstrict-feedback form. The command filter and the error compensation mechanism are devised to eliminate the “explosion of complexity” problem and the effect of filtered error in a predefined time, respectively. By means of the Nussbaum gain technique and modified coordinate transformation, the unknown control gains of the sensor and actuator induced by the deception attacks are resolved. By constructing a dynamic variable, a dynamic event-triggered mechanism is devised to reduce resource consumption. It is strictly proved that the closed-loop system is practically predefined-time stable and the output signal converges to a small region near the origin in a predefined time. Finally, a simulation example is utilized to testify the effectiveness and superiority of the proposed predefined-time control algorithm.