Abstract
This article studies the leader-following consensus problem for mixed-order multi-agent systems with a leader. Different from the traditional leader which is independent of all the other agents, the leader, called smart leader, can obtain and utilize the feedback information from its neighbors at some disconnected time intervals. A new distributed consensus control protocol based on intermittent control is developed for leader-following consensus with a smart leader. Moreover, the smart leader can adjust the control protocol based on the feedback information from its neighbors. With the aid of Lyapunov function, some sufficient conditions are derived for leader-following consensus of multi-agent systems with mixed-order dynamics under fixed directed topology. In addition, the similar results are obtained under switching directed topology. Finally, simulation results are provided to verify the correctness and effectiveness of theoretical results.
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Recommended by Associate Editor Hyo-Sung Ahn under the direction of Editor Yoshto Ohta. This work is supported by the National Natural Science Foundation of China (Nos. 61573200, 61573199).
Fu-Yong Wang received his B.S. degree in electrical engineering and automation and his M.S. degree in computer application technology from the Ludong University, Yantai, China, in 2013 and 2016, respectively. He is now pursuing the Ph.D. degree in the College of Computer and Control Engineering, Nankai University, Tianjin, China. His research interest covers coordination of multi-agent systems.
Zhong-Xin Liu received his B.S. degree in automation and his Ph.D. degree in control theory and control engineering from the Nankai University, Tianjin, China, in 1997 and 2002, respectively. He has been at Nankai University, where he is currently a Professor in the Department of Automation. His main areas of research are in predictive control, complex networks and multi-agents system.
Zeng-Qiang Chen received his B.S. degree in mathematics, his M.S. and Ph.D. degrees in control theory and control engineering from the Nankai University, Tianjin, China, in 1987, 1990 and 1997, respectively. He has been at Nankai University, where he is currently a Professor in the Department of Automation. His main areas of research are in neural network control, complex networks and multi-agents system.
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Wang, FY., Liu, ZX. & Chen, ZQ. A Novel Leader-following Consensus of Multi-agent Systems with Smart Leader. Int. J. Control Autom. Syst. 16, 1483–1492 (2018). https://doi.org/10.1007/s12555-017-0266-0
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DOI: https://doi.org/10.1007/s12555-017-0266-0