Work

Observer-based consensus tracking of stochastic multi-agent systems via control Lyapunov function

Year: 2025

Type: article

Abstract: This work discusses the consensus tracking for stochastic multi-agent systems with a leader-follower structure. An observer-based distributed control approach is put forward, leveraging control Lyapunov functions and quadratic programming framework. This control method ensures that each follower can track with the leader's state in the sense of expectation, even under stochastic disturbances. Two observers are given for each follower to observe its own state and the leader's state information, respectively, enabling fully distributed control requirement. Theoretical analysis guarantees the convergence of this control approach, and simulation results validate its effectiveness in achieving consensus tracking.

Source: Neural Networks

DOI: 10.1016/j.neunet.2025.108294

Authors: Zheng Yan, Boqian Li, Ping Qi, Shiping Wen, Tingwen Huang

Institutions: Tongling University, University of Technology Sydney, Shenzhen University of Advanced Technology

Language: English

Topic: Distributed Control Multi-Agent Systems

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Estimated APC paid: $3,110

OpenAlex ID: W4415931554

FWCI: 0.448

Cites: 22

Cited by: 1

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