A Novel Bipartite Consensus Tracking Control for Multiagent Systems Under Sensor Deception Attacks

This article presents a novel adaptive bipartite consensus tracking strategy for multiagent systems (MASs) under sensor deception attacks. The fundamental design philosophy is to develop a hierarchical algorithm based on shortest route technology that recasts the bipartite consensus tracking problem...

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Bibliographic Details
Published in:IEEE transactions on cybernetics 2023-09, Vol.53 (9), p.5984-5993
Main Authors: Wang, Xinjun, Cao, Ye, Niu, Ben, Song, Yongduan
Format: Article
Language:English
Subjects:
Adaptive control
Algorithms
bipartite consensus
Closed loops
Consensus control
Coordinate transformations
Deception
deception attacks
Denial-of-service attack
dynamic estimator
Feedback control
Laplace equations
Multi-agent systems
Multiagent systems
multiagent systems (MASs)
Robot sensing systems
Sensors
Synchronization
Tracking control
Tracking errors
Tracking problem
Vehicle dynamics
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Summary:This article presents a novel adaptive bipartite consensus tracking strategy for multiagent systems (MASs) under sensor deception attacks. The fundamental design philosophy is to develop a hierarchical algorithm based on shortest route technology that recasts the bipartite consensus tracking problem for MASs into the tracking problem for a single agent and eliminates the need for any global information of the Laplacian matrix. As the sensors suffer from malicious deception attacks, the states cannot be measured accurately, we thus construct a novel dynamic estimator to estimate the actual states, which, together with a new coordinate transformation involving the attacked and estimated state variables, allows a distributed security control scheme to be developed, in which the singularity of the adaptive iterative process involved in existing works is completely avoided. Furthermore, the Nussbaum functions are included in the controller to account for the influence of the unknown control gains caused by sensor deception attacks. It is shown that the distributed consensus tracking errors converge to a small neighborhood of the origin, and all the signals in the closed-loop system remain bounded. Simulation on a forced damped pendulums (FDPs) is conducted to demonstrate and verify the effectiveness of the proposed strategy.
ISSN:2168-2267
2168-2275
DOI:10.1109/TCYB.2022.3225361