Self-Triggered Stabilization of Discrete-Time Linear Systems With Quantized State Measurements

• 成果类型: Article
• 署名作者: Wakaiki, Masashi
• 署名单位: Kobe University
• 刊物名称: IEEE TRANSACTIONS ON AUTOMATIC CONTROL
• ISSN/ISSBN: 0018-9286
• DOI: 10.1109/TAC.2022.3159262
• 发表日期: 2023
• 页码: 1776-1783
• 关键词: sensors; encoding; Quantization (signal); Decoding; Sensor systems; networked control systems; Hypercubes; quantized control; self-triggered control

摘要

We study the self-triggered stabilization of discrete-time linear systems with quantized state measurements. In the networked control system we consider, sensors may be spatially distributed and be connected to a self-triggering mechanism through finite data-rate channels. Each sensor independently encodes its measurements and sends them to the self-triggering mechanism. The self-triggering mechanism integrates quantized measurement data and then computes sampling times. Assuming that the closed-loop system is stable in the absence of quantization and self-triggered sampling, we propose a joint design method of an encoding scheme and a self-triggering mechanism for stabilization. To deal with data inaccuracy due to quantization, the proposed self-triggering mechanism uses not only quantized data but also an upper bound of quantization errors, which is shared with a decoder.