Tracking and Regulation Performance Limitations of Networked Control Systems Over Erasure Channel With Input Quantization

• 成果类型: Article
• 署名作者: Jiang, Xiaowei; Chi, Ming; Chen, Xiangyong; Yan, Huaicheng; Huang, Tingwen
• 署名单位: China University of Geosciences; Huazhong University of Science & Technology; Shandong University; Linyi University; East China University of Science & Technology; Chengdu University; Qatar Foundation (QF); Texas A&M University Qatar
• 刊物名称: IEEE TRANSACTIONS ON AUTOMATIC CONTROL
• ISSN/ISSBN: 0018-9286
• DOI: 10.1109/TAC.2022.3164838
• 发表日期: 2022
• 页码: 4862-4869
• 关键词: Quantization (signal); regulation; Poles and zeros; performance analysis; networked control systems; Time-domain analysis; Signal to noise ratio; Channel input quantization; networked control systems (NCSs); output tracking control (OTC); packet dropouts; regulation performance

摘要

Limitations in communication networks, such as delays, packet dropouts, and insufficient bandwidth, create great challenges in the output tracking control and regulation performance of networked control systems. In this article, we propose some novel performance indexes for achieving the optimal tracking and regulation performance. By considering the influences of noise, packet dropouts, and logarithmic quantization on the channel input, the performance limitations of the networked systems are investigated by applying a two-degree-of-freedom (TDOF) control technique. The results obtained prove that the tracking and regulation performance is dependent not only on the position of the plant's nonminimum phase zeros and unstable poles, but also on the directions. Furthermore, it is demonstrated that noise and quantization error have a negative influence on the control performance, and the design of the TDOF controller can eliminate the effect of packet dropouts on control performance. To validate the innovation results, several simulations are conducted.