Secure consensus control for multi-agent systems under communication constraints via adaptive sliding mode technique

Abstract

The consensus tracking problem is investigated for a class of multi-agent systems (MASs) under communication constraints. In particular, as a result of the impact of amplitude attenuation and random interference, communication among followers may inevitably suffer from the fading phenomenon. Meanwhile, the controllers may also be subject to malicious deception attacks, which will disrupt the correct operation of the MASs. Thus, the agents can only update their states based on fading information exchanged with their neighbors and the false control input under attacks. The consensus tracking error variables are first designed via the fading signal received from neighbors. Then, an online estimation strategy is introduced to estimate the unknown attacks, based on which the adaptive sliding mode controller is designed to attenuate the effect of the time-varying attacks on MASs. Convergence analysis of the MASs under the designed control strategy is provided by using the Lyapunov stability theory and adaptive sliding mode control method. Finally, the effectiveness of the theoretical results is verified via numerical simulations.

Layered random fault injection method for the air braking system based on multiple Markov chains

“…Its essence is to artificially introduce faults into the target system with a certain strategy for a specified fault type so as to observe and analyze the operation behavior of the target system under the condition of injected faults. It has garnered significant attention [8,9] .…”