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Optimal Tracking Performance of Communication Constrained Systems with Quantization and Packet Dropouts

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  • Control Theory and Applications
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Abstract

In this paper, the optimal tracking performance of communication constrained systems by considering quantization, packet dropouts, noise and control input power constraints is studied. The frequency domain method is utilized to analyze the optimal tracking performance of the communication constrained systems. The explicit expression of the optimal tracking performance is deduced by partial fraction decomposition method and inner-outer factorization method. The results indicate that the optimal tracking performance for a controlled object is only affected by the plant’s inherent characteristics (non-minimum phase zeros and unstable poles) and network factors (quantization, packet dropouts and noise). Eventually, a simulation is offered to validate the theory.

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Authors and Affiliations

  1. College of Electrical Engineering and Automation, Hubei Normal University, Huangshi, 435002, China

    Mengxi Jiang, Xisheng Zhan, Jie Wu & Tao Han

  2. School of Information Science and Engineering, East China University of Science and Technology, Shanghai, 200237, China

    Huaicheng Yan

Authors
  1. Mengxi Jiang
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  2. Xisheng Zhan
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  3. Jie Wu
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  4. Tao Han
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  5. Huaicheng Yan
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Corresponding author

Correspondence to Xisheng Zhan.

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Conflicts of Interests

There is no conflict of interest in this article.

Mengxi Jiang is pursuing an M.E. degree in the School of Electrical Engineering and Automation, Hubei Normal University, Huangshi, China. She received her B.Eng. degree in the Huanggang Normal University, Huanggang, China in 2019. Her research interests include the performance limits and design of communication constrained systems.

Xisheng Zhan is a professor in the School of Electrical Engineering and Automation, Hubei Normal University. He received his B.S. and M.S. degrees in control theory and control engineering from the Liaoning Shihua University, Fushun, China, in 2003 and 2006, respectively. He received his Ph.D. degree in control theory and applications from the Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan, China, in 2012. His research interests include networked control systems, robust control, and iterative learning control.

Jie Wu is a professor in the School of Electrical Engineering and Automation, Hubei Normal University. She received her B.S. and M.S. degrees in control theory and control engineering from the Liaoning Shihua University, Fushun, China, in 2004 and 2007, respectively. Her research interests include networked control systems, robust control, and complex network.

Tao Han received his Ph.D. degree from the School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China, in 2017, and he is currently a professor in the School of Electrical Engineering and Automation, Hubei Normal University. His research interests include cooperative control of multi-agent systems and complex networks.

Huaicheng Yan is a Professor with the School of Information Science and Engineering, East China University of Science and Technology. He received his B.S. degree in automatic control from Wuhan University of Technology, Wuhan, China, in 2001, and received a Ph.D. degree in control theory and control engineering from the Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan, China, in 2007. His current research interests include networked systems and multi-agent systems.

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This paper was partially supported by the National Natural Science Foundation of China under Grants 62271195, 61971181 and 62072164, and Outstanding Youth Science and Technology Innovation Team in Hubei Province under Grant T2022027 and B2022156.

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Jiang, M., Zhan, X., Wu, J. et al. Optimal Tracking Performance of Communication Constrained Systems with Quantization and Packet Dropouts. Int. J. Control Autom. Syst. 21, 1748–1756 (2023). https://doi.org/10.1007/s12555-022-0239-9

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