Asymptotic Stability of Quantized Feedback Systems With Input and State Quantizations and Saturations Over Finite Data Rate Channels

• 成果类型: Article
• 署名作者: Wang, Jian
• 署名单位: Bohai University
• 刊物名称: IEEE TRANSACTIONS ON AUTOMATIC CONTROL
• ISSN/ISSBN: 0018-9286
• DOI: 10.1109/TAC.2025.3566668
• 发表日期: 2025
• 页码: 6945-6952
• 关键词: Quantization (signal); vectors; asymptotic stability; Symmetric matrices; Matrix converters; uncertain systems; actuators; Stability criteria; Feedback control; uncertainty; Finite data rate; input quantization; nested quantization; nested saturation; quantized control; state quantization

摘要

This article considers quantized feedback control of discrete-time linear systems involving quantizations and saturations of the system input and state. A new representation of saturation map is presented by equality with bounded uncertain diagonal matrix and reduces conservatism. Further, based on spherical polar coordinate quantizer, the quantization error is converted to sector-bound uncertainty. Thus, the considered system is modeled as uncertain system and the considered problems are converted into the equivalent solvable problems for uncertain system and the larger stability region is obtained. We first propose the quantization methods with finite data rate for asymptotic stability under the system input saturation for two cases: first state quantization case and second input quantization case. In input quantization case, an augmented vector is constructed and quantized to obtain the estimate of the system input. We further propose the quantization method for the case of quantizations and saturations of the system input and state, which results in nested saturation and nested quantization. In this case, although the quantizer for the sensor output and the quantizer for the controller output can not communicate with each other, by the proposed quantization method, they coordinate with each other to guarantee the asymptotic stability of the systems.