Dynamic event-based finite-horizon H∞ secure consensus control of a class of nonlinear multi-agent systems

Kai Pang; Lifeng Ma; Hongyang Bai; Xiaojian Yi

doi:10.1016/j.isatra.2021.12.025

Dynamic event-based finite-horizon H_∞ secure consensus control of a class of nonlinear multi-agent systems

ISA Trans. 2022 Aug:127:168-177. doi: 10.1016/j.isatra.2021.12.025. Epub 2021 Dec 24.

Authors

Kai Pang¹, Lifeng Ma², Hongyang Bai³, Xiaojian Yi⁴

Affiliations

¹ School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China.
² School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China. Electronic address: malifeng@njust.edu.cn.
³ School of Energy and Power Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.
⁴ School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China.

PMID: 34998520
DOI: 10.1016/j.isatra.2021.12.025

Abstract

In this paper, we investigate the H_∞ consensus control issue for nonlinear multi-agent systems (MASs) subject to multiple attacks over a finite time interval. A novel and comprehensive model to characterize the multiple attacks is presented that includes denial-of-service (DoS) attacks, scaling attacks and replay attacks. With the hope of easing the communication burdens, we implement a dynamic event-triggered scheme to schedule the process of data sharing among the individual subsystems, which helps judge if the collected data should be shared to neighboring agents for control input update. The aim of the proposed problem is to develop an output feedback strategy to meet the desired H_∞ consensus performance despite the existence of multiple attacks. Some conditions are presented for the solvability of the investigated problem, and the feedback gains are obtained via certain convex optimization algorithms. The proposed theoretical result is finally demonstrated by virtue of two illustrative simulation examples.

Keywords: Denial-of-service (DoS) attacks; Dynamic event-triggered mechanism (DETM); Replay attacks; Scaling attacks; Time-varying multi-agent systems (MASs).