Finite‐time resilient control for networked control systems with multiple cyber‐attacks: Memory/adaptive event‐triggered scheme
M. Sathishkumar, Yen‐Chen Liu
Abstract
Summary This article addresses the finite‐time memory and finite‐time adaptive event‐triggered control issues for networked control systems (NCSs) with randomly occurring cyber‐attacks. A comprehensive stochastic attack model is developed that includes false‐data injection attacks and denial‐of‐service attacks. In our first problem, the purpose of the memory event‐triggered scheme is used to release certain packets to establish new events contrasting with the existing event‐triggered method. In this fashion, the event generator can make a more accurate decision and better control performance can be expected. On the other hand, our second problem introduces an adaptive event‐triggered scheme to reduce unnecessary communication transmissions in a network with an adaptive varying‐threshold while maintaining acceptable system performance. In both problems where malicious signals are injected by adversaries, a random variable is presented to relate cyber‐attacks. Using Lyapunov stability theory, integral inequality and linear matrix inequality, a sufficient condition is constructed for both problems to achieve the exponentially mean‐square finite‐time boundedness for NCSs under stochastic attacks. Finally, three numerical examples are simulated to demonstrate the effectiveness of the proposed methods.