Investigation of consensus for nonlinear time-varying multiagent systems
via data-driven techniques
- Yuanshan Liu
, - Yude Xia,
- Ziqin Zhou,
- Jingxin Huang,
- Jiani Cheng
Yude Xia
Nanjing Agricultural University College of Engineering
Author ProfileZiqin Zhou
Nanjing Agricultural University College of Engineering
Author ProfileAbstract
This paper employs data-driven techniques to investigate the robustness
control of leader-followers consensus in nonlinear discrete time-varying
multi-agent systems with a fixed topology. Initially, pertinent symbolic
definitions for the sampled data are established, followed by an
introduction to graph theory and system models. Given that data-driven
algorithms necessitate linear systems, it is imperative to linearize
each nonlinear system. Subsequently, distributed controllers are
developed based on distributed control principles to ensure consensus in
multi-agent systems. Additionally, the controller gain matrix is derived
through a data-driven method, and its feasibility is theoretically
examined by solving a nonlinear matrix inequality. Ultimately, numerical
simulations validate the efficacy of this data-driven approach for
achieving robust leader-followers consensus control.30 May 2024Submitted to International Journal of Robust and Nonlinear Control 30 May 2024Submission Checks Completed
30 May 2024Assigned to Editor
04 Jun 2024Reviewer(s) Assigned