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Hybrid Scheduling and Quantized Output Feedback Control for Networked Control Systems

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  • Control Theory and Applications
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Abstract

A novel co-design scheme of hybrid scheduling strategy, adaptive logarithmic quantizer and dynamic robust H-infinity output feedback controller for a class of networked control system (NCS)with communication constraints and time delay is proposed. The hybrid scheduling scheme integrates dead zone scheduling and Try Once Discard (TOD) scheduling so as to get the stronger adaptability and flexibility than the single scheduling. In this scheme, dead zone scheduling which updates the threshold according to mode-dependent control strategy is used for single node of NCS to reduce the network bandwidth utilization while TOD scheduling is used for the whole node of NCS in order to meet the requirements of communication constraints and guarantee the overall system performance.We develop the integrated design for the hybrid scheduling strategy, adaptive quantizer and dynamic robust output feedback controller to maintain asymptotic stability of the closed-loop NCS by using the multiple-Lyapunov function and switched system theory. The proposed method can improve the the quality of service (QoS) meanwhile ensure the quality of control (QoC) of overall systems, which make a better trade-off between network utilization and control performance. An simulation example demonstrates the efficiency of the proposed method.

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Authors and Affiliations

  1. School of Automation, Nanjing University of Science and Technology, Xiaolingwei 200, Nanjing, China

    Tengli Wang, Chuan Zhou, Hui Lu, Junda He & Jian Guo

Authors
  1. Tengli Wang
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  2. Chuan Zhou
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  3. Hui Lu
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  4. Junda He
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  5. Jian Guo
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Corresponding author

Correspondence to Chuan Zhou.

Additional information

Recommended by Associate Editor Yang Tang under the direction of Editor PooGyeon Park. This paper was supported by National Natural Science Foundation of China under Grant No. 61673219, Tianjin Major Projects of Science and Technology under Grant No. 15ZXZNGX00250, Jiangsu Six Talents Peaks Project of Province under Grant No. XNYQC-CXTD-001.

Tengli Wang is an M.S. student of Nanjing University of Science and Technology, China. She received the B.S. degree from Jinling Institute of Technology. Her research interests include consensus and formation control of networked multiagent systems.

Chuan Zhou received his Ph.D. from Nanjing University of Aeronautics and Astronautics, China in 1999. Since 2001, he has been with Nanjing University of Science and Technology and he is a Professor in the school of Automation. His research interests include network control system, intelligent control and multi-agent systems.

Hui Lu received his M.Sc. degree from Nanjing University of Science and Technology, China. His research interests include consensus and formation control of networked multi-agent systems.

Junda He received his M.Sc. degree from Nanjing University of Science and Technology, China. His research interests include consensus and formation control of networked multi-agent systems.

Jian Guo received his Ph.D. from Nanjing University of Science and Technology, China in 2002. He is a Professor in the school of Automation. His research interests include robotic system and high performance servo system.

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Wang, T., Zhou, C., Lu, H. et al. Hybrid Scheduling and Quantized Output Feedback Control for Networked Control Systems. Int. J. Control Autom. Syst. 16, 197–206 (2018). https://doi.org/10.1007/s12555-016-0479-7

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  • DOI: https://doi.org/10.1007/s12555-016-0479-7

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