Volume 37, Issue 10 pp. 7571-7583
RESEARCH ARTICLE

Robust flocking of multiple intelligent agents with multiple disturbances

Yize Yang

Yize Yang

School of Automation, Southeast University, Nanjing, China

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Yang-Yang Chen

Corresponding Author

Yang-Yang Chen

School of Automation, Southeast University, Nanjing, China

Correspondence Yang-Yang Chen, School of Automation, Southeast University, 210096 Nanjing, China.

Email: [email protected]

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Hongyong Yang

Hongyong Yang

School of Information and Electrical Engineering, Ludong University, Yantai, China

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First published: 25 April 2022
Citations: 8

Abstract

The cooperation control of multiple intelligent agents (MIAs), which can solve complex engineering problems in practice, has received increasing attention. However, there are multiple disturbances in wireless sensor networks, which has a great effect on the collaboration of MIAs. In this paper, the problem of the flocking motion of second-order MIAs is addressed with collision avoidance and multiple disturbances. To estimate the matched/mismatched disturbances, the disturbance observers are designed. It is noted that the assumption that the differentials of disturbances converge to zeros in the literature is removed. A novel compound strategy is designed by using the robust auxiliary function and the potential function. The asymptotic properties of the flocking system are studied based on the Input-to-State Stability Theorem and the robust stability. Numerical simulation results verify the validity of the proposed protocol.

CONFLICTS OF INTEREST

The authors declare no conflicts of interest.

DATA AVAILABILITY STATEMENT

The data used to support the findings of this study are available from the corresponding author upon request.

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