Event-Triggered State Interval Estimation and Fault-Tolerant Control for Multiagent Systems Under Deception Attacks
Meng Zhou, H. Li, Tonglai Xue, Jing Wang, Tarek Raïssi
Abstract
This article investigates the problem of interval state and attack signal estimation and fault tolerant consistent control in multiagent systems under the influence of deception attacks. First, the deception attack signal is transformed into an auxiliary state vector to generate a state-augmented multiagent system, which makes the estimation problem tractable with a state observer. In addition, an event-triggered mechanism is designed for the observer to reduce unnecessary network communication. Next, a zonotope-based interval estimation technique is investigated to obtain upper and lower bounds for deception-attack estimates consistent with the real environment, taking into account the uncertainty of the system. Furthermore, a leader-follower-based state-consistent control strategy is designed, in which the estimation of the deception-attack signal is incorporated as a compensation to achieve state-consistent control. Finally, the validity of the proposed methodology is verified with vertical take-off and landing (VTOL) aircrafts as an example.