期刊
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
卷 66, 期 4, 页码 1902-1909出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TAC.2020.2999444
关键词
Poles and zeros; Signal to noise ratio; Quantization (signal); Networked control systems; Polymers; Optimization; Admissible infimal signal-to-noise ratio (SNR); communication noise; reference noise; repeated zeros and poles; tracking performance limitation
资金
- National Natural Science Foundation of China [61973110, 61503133]
- Natural Science Foundation of Hunan [2016JJ6043]
- Program of Shanghai Academic Research Leader [19XD1421000]
- Foundation for Innovative Research Groups of the National Natural Science Foundation of China [61321003]
- National Science Foundation [PHY-1505000]
- NSF [PHY-1505000, CMMI-1125290, CHE-1213217]
- DTRA [HDTRA1-14-1-0017]
This article investigates the performance limitations of a class of networked control systems, finding that the multiplicity of NMP zeros and unstable poles can affect the tracking performance. A quantitative relationship for tracking performance limitations is derived based on statistical characteristics. Additionally, a minimum signal-to-noise ratio is obtained using a 2DOF controller structure for the tracking system.
In this article, the performance limitations problem are investigated for a class of signal-input, signal-output networked control systems with repeated zeros and poles. The additive white noise is adopted in the communication channel. The tracking performance limitations are investigated based on a two-degree of freedom (2DOF) controller. The results demonstrate that the multiplicity of nonminimum phase (NMP) zeros and unstable poles of the plant can affect the tracking performance limitations. The explicit quantitative relationship is characterized for the tracking performance limitations, which is derived based on NMP zeros, unstable poles of the plant with corresponding multiplicity, as well as the statistical characteristics of the reference noise and communication noise. The admissible infimal signal-to-noise ratio (SNR) is also obtained for the tracking system by using a 2DOF controller structure, where the admissible infimal SNR can satisfy the stability conditions while achieving tracking performance limitations. Finally, an illustrative example is presented to validate the effectiveness of our proposed scheme.
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