Event-Triggered Adaptive Finite-Time Security Control for Nonlinear Time-Delay Cyber-Physical Systems Under Sensor and Actuator Attacks

Abstract

This article studies the problem of output feedback adaptive finite-time security control for a class of nonlinear time-delay cyber-physical systems(CPSs) under actuator and sensor attacks. A linear state transformation and the Nussbaum gain function method are combined to overcome the technical difficulties from uncertain cyber-attacks and unknown control coefficients, such that output feedback control design for the transformed system becomes feasible. Based on the comprised output signal and the state estimations of input-driven linear extended state observer (LESO), an event-triggered adaptive output feedback security control scheme is presented by using Lyapunov–Krasovskii functional method, backstepping technology, neural networks (NN) approximation approach, and some special techniques. Although the concerned system is subject to both sensor and actuator attacks, the developed controller guarantees that all the closed-loop signals are semi-global practical finite-time stable (SGPFS) while the control efficiency is obviously increased. Eventually, two simulation examples are carried out to reveal the effectiveness and practicability of the developed control method under various sensor and actuator attacks.