Optimal Tracking of Networked Control Systems Over the Fading Channel With Packet Loss

被引:1
|
作者
Jiang, Xiaowei [1 ,2 ,3 ,4 ]
Yan, Huaicheng [5 ,6 ]
Li, Bo [7 ]
Zheng, Shiqi [1 ,2 ,3 ]
Huang, Tingwen [8 ]
Shi, Peng [9 ,10 ]
机构
[1] China Univ Geosci, Sch Automat, Wuhan 200240, Peoples R China
[2] Hubei Key Lab Adv Control & Intelligent Automat Co, Wuhan 430074, Peoples R China
[3] Minist Educ, Engn Res Ctr Intelligent Geodetect Technol, Wuhan 430074, Peoples R China
[4] Minist Educ, Key Lab Syst Control & Informat Proc, Shanghai 200240, Peoples R China
[5] East China Univ Sci & Technol, Key Lab Smart Mfg Energy Chem Proc, Minist Educ, Shanghai 200237, Peoples R China
[6] Hubei Univ Technol, Hubei Key Lab High Efficiency Utilizat Solar Energ, Wuhan 430068, Peoples R China
[7] Anhui Univ Finance & Econ, Sch Finance, Bengbu 233030, Peoples R China
[8] Texas A&M Univ Qatar, Doha 23874, Qatar
[9] Univ Adelaide, Sch Elect & Mech Engn, Adelaide, 5005, Australia
[10] Obuda Univ, Res & Innovat Ctr, H-1034 Budapest, Hungary
基金
中国国家自然科学基金;
关键词
Average channel model; networked control system (NCS); optimal tracking; packet loss; OUTPUT-FEEDBACK CONTROL; PERFORMANCE LIMITATIONS; LTI PLANTS; STABILIZATION; DESIGN;
D O I
10.1109/TAC.2023.3343593
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
For networked systems, the communication processes between sensors, actuators, and controllers pose many challenges such as instability and performance degradation that may result from bandwidth limitations, signal-to-noise ratio constraints, and frequent occurrences of packet loss. The constraints of these elements can negatively affect the performance of control systems. In this study, we used a fading channel model to analyze the fundamental tracking performance of a networked control system (NCS). We considered the additive channel noise, external disturbances, and packet losses under the premise that an equivalent average channel can replace the fading channel to model the steady-state output. Frequency-domain analysis techniques, including all-pass factorization, Bezout identity, and Youla parameterization, were used to compute optimal values for the tracking performance. Based on the results, we were able to quantify the relation between the NCS performance and intrinsic features of the controlled object, including nonminimum phase zeros and unstable poles. Explicit expressions were obtained for the negative effects of noise, disturbance, and packet losses on the tracking performance. Furthermore, an illustrative example is presented to verify our conclusions.
引用
收藏
页码:2652 / 2659
页数:8
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