Abstract
Consensus problem is investigated for the multi-agent systems with agents’ dynamics modeled by single-input and single output linear time-invariant proper system, and asynchronously-coupled consensus algorithm is adopted for the system subjected to input delay and communication delay. Sufficient conditions, which depend on the input delay and the communication delay, are obtained for the agents converging to a stationary consensus asymptotically by using linear fractional transformation and small-gain theorem of the frequency-domain analysis. Moreover, the results are extended to get the consensus conditions for second-order multi-agent systems with input delay and communication delay under asynchronously-coupled consensus algorithm, which is composed of the position and the velocity consensus coordination control parts. Simulation illustrates the correctness of the results.
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Recommended by Editorial Board member Guang-Hong Yang under the direction of Editor Zengqi Sun.
This work is supported by the National Natural Science Foundation of China (Grant No. 61104092 and 61134007), the Priority Academic Program Development of Jiangsu Higher Education Institutions and the 111 Project (B12018).
Cheng-Lin Liu received his Ph.D. degree in Control Theory and Control Engineering from Southeast University, China. He is currently an associate professor at Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Institute of Automation, Jiangnan University, China. His current research interests include Internet congestion control, sensor networks and coordination control of multi-agent systems.
Fei Liu received his Ph.D. degree in Control Science and Control Engineering from Zhejiang University, China. Now he has been a professor of Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Institute of Automation, Jiangnan University. His research interests include advanced control theory and applications, batch process control engineering, statistical monitoring and diagnosis in industrial process, and intelligent technique with emphasis on fuzzy and neural systems.
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Liu, CL., Liu, F. Consensus analysis for multiple autonomous agents with input delay and communication delay. Int. J. Control Autom. Syst. 10, 1005–1012 (2012). https://doi.org/10.1007/s12555-012-0518-y
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DOI: https://doi.org/10.1007/s12555-012-0518-y