Active disturbance rejection‐based event‐triggered bipartite consensus control for nonaffine nonlinear multiagent systems

Author:

Cao Zhongwen1ORCID,Niu Ben2ORCID,Zong Guangdeng3ORCID,Zhao Xudong4,Ahmad Adil M.5

Affiliation:

1. College of Control Science and Engineering Bohai University Jinzhou Liaoning China

2. School of Information Science and Engineering Shandong Normal University Jinan Shandong China

3. School of Control Science and Engineering Tiangong University Tianjin China

4. Faculty of Electronic Information and Electrical Engineering Dalian University of Technology Dalian Liaoning China

5. Communication Systems and Networks Research Group, Department of Information Technology, Faculty of Computing and Information Technology King Abdulaziz University Jeddah Saudi Arabia

Abstract

AbstractThis article investigates the active disturbance rejection‐based distributed event‐triggered bipartite consensus problem of nonaffine nonlinear multiagent systems with input saturation. To reduce the update frequency of the control signal, an event‐triggered mechanism is employed for each follower. Additionally, the active disturbance rejection technology, as a combination of the extended state observer and the tracking differentiator, is introduced to estimate the uncertainties of the system and address the problem of explosion of complexity in the backstepping design process. Compared with the traditional distributed bipartite consensus schemes using neural networks/fuzzy logic systems, the design complexity of the control law is reduced in the proposed scheme. Meanwhile, the tracking error is maintained within a predefined range via the funnel function. Finally, the stability of the system is proved under the Lyapunov stability analysis theory, and the effectiveness of the proposed strategy is verified via simulation examples.

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Mechanical Engineering,Aerospace Engineering,Biomedical Engineering,General Chemical Engineering,Control and Systems Engineering

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