Leader-follower consensus of nonlinear agricultural multiagents using distributed adaptive protocols

doi:10.1007/s40436-023-00449-x

Advances in Manufacturing ›› 2025, Vol. 13 ›› Issue (4): 901-910.doi: 10.1007/s40436-023-00449-x

• • 上一篇

Leader-follower consensus of nonlinear agricultural multiagents using distributed adaptive protocols

Yu-Chen Qian, Zhong-Hua Miao, Jin Zhou, Xiao-Jin Zhu

School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, 200444, People's Republic of China

收稿日期:2022-08-09 修回日期:2022-10-22 发布日期:2025-12-06
通讯作者: Zhong-Hua Miao Email:E-mail:zhhmiao@shu.edu.cn E-mail:zhhmiao@shu.edu.cn
作者简介:Yu-Chen Qian received his M.S. degree in mechatronic engineering from Shanghai University of Engineering Science, China, in 2020. He is currently pursuing the Ph.D. degree with the School of Macaronic Engineering and Automation, Shanghai University, Shanghai, China. His current research interests include formation tracking control, nonlinear control of multiagent systems and consensus control.
Zhong-Hua Miao received his Ph.D. degree in mechatronic engineering from Shanghai Jiao Tong University, China, in 2010. He is currently a full professor and doctoral advisor in the School of Mechatronic Engineering and Automation at Shanghai University. His research interests include intelligent robotics, measurement and control, and fault diagnosis, and agricultural machinery equipment.
Jin Zhou received his Ph.D. degree in operation research and cybernetics from Shanghai University, China, in 2003. He is currently a full professor and doctoral advisor of Shanghai Institute of Applied Mathematics and Mechanics at Shanghai University. His research interests include complex systems and complex networks, cooperative control in networked multiagent systems, differential equations and system controls.
Xiao-Jin Zhu received his Ph.D. degree in mechatronic engineering from Nanjing University of Aeronautics and Astronautics, China, in 1998. He is currently a full professor and doctoral advisor in the School of Mechatronic Engineering and Automation at Shanghai University. His research interests include advanced measurement and control and information processing, intelligent structure active monitoring, computer measurement and control system and integration.
基金资助:
Funding was provided by National Natural Science Foundation of China-China Academy of General Technology Joint Fund for Basic Research (Grant No. 51875331).

Leader-follower consensus of nonlinear agricultural multiagents using distributed adaptive protocols

Yu-Chen Qian, Zhong-Hua Miao, Jin Zhou, Xiao-Jin Zhu

School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, 200444, People's Republic of China

Received:2022-08-09 Revised:2022-10-22 Published:2025-12-06
Contact: Zhong-Hua Miao Email:E-mail:zhhmiao@shu.edu.cn E-mail:zhhmiao@shu.edu.cn
Supported by:
Funding was provided by National Natural Science Foundation of China-China Academy of General Technology Joint Fund for Basic Research (Grant No. 51875331).

摘要/Abstract

摘要： Agricultural multi-agent systems are expected to be fundamental to future intelligent agriculture and digital farming. This study deals with agricultural multirobots from the perspective of the control algorithm, and adaptive leader-following consensus protocol design problems are resolved for nonlinear multiagent systems. A fully distributed edge-based strategy adaptive law is discussed herein; thus, the multiagent consensus can be implemented without knowing global information. Unlike methodologies in existing literature on nonlinear consensus, the proposed methodology is considerably less conservative because of the incremental quadratic constraint containing a wider variety of nonlinearities. This means that, utilizing an incremental multiplier matrix with appropriate values, the control scheme can be applied to a broader class of nonlinear multi-agent systems, which is applicable to more agricultural fields. Finally, a numerical example consisting of six followers and one leader is provided to demonstrate the validity and effectiveness of the proposed protocol under a directed network.

The full text can be downloaded at https://doi.org/10.1007/s40436-023-00449-x

关键词: Multiagent consensus control, Distributed adaptive protocols, Incrementally quadratic nonlinearity, Observer-based protocol, Agriculture robots

Abstract: Agricultural multi-agent systems are expected to be fundamental to future intelligent agriculture and digital farming. This study deals with agricultural multirobots from the perspective of the control algorithm, and adaptive leader-following consensus protocol design problems are resolved for nonlinear multiagent systems. A fully distributed edge-based strategy adaptive law is discussed herein; thus, the multiagent consensus can be implemented without knowing global information. Unlike methodologies in existing literature on nonlinear consensus, the proposed methodology is considerably less conservative because of the incremental quadratic constraint containing a wider variety of nonlinearities. This means that, utilizing an incremental multiplier matrix with appropriate values, the control scheme can be applied to a broader class of nonlinear multi-agent systems, which is applicable to more agricultural fields. Finally, a numerical example consisting of six followers and one leader is provided to demonstrate the validity and effectiveness of the proposed protocol under a directed network.

The full text can be downloaded at https://doi.org/10.1007/s40436-023-00449-x

Key words: Multiagent consensus control, Distributed adaptive protocols, Incrementally quadratic nonlinearity, Observer-based protocol, Agriculture robots

Yu-Chen Qian, Zhong-Hua Miao, Jin Zhou, Xiao-Jin Zhu. Leader-follower consensus of nonlinear agricultural multiagents using distributed adaptive protocols[J]. Advances in Manufacturing, 2025, 13(4): 901-910.

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Leader-follower consensus of nonlinear agricultural multiagents using distributed adaptive protocols

Leader-follower consensus of nonlinear agricultural multiagents using distributed adaptive protocols

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