Latency-Reliability Tradeoffs for State Estimation

成果类型:
Article
署名作者:
Gatsis, Konstantinos; Hassani, Hamed; Pappas, George J.
署名单位:
University of Oxford; University of Pennsylvania
刊物名称:
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
ISSN/ISSBN:
0018-9286
DOI:
10.1109/TAC.2020.2992563
发表日期:
2021
页码:
1009-1023
关键词:
Reliability theory dynamical systems encoding DELAYS estimation sensors Channel coding HIGH-RELIABILITY low-latency networked control systems State estimation
摘要:
The emerging interest in low-latency high-reliability applications, such as connected vehicles, necessitates a new abstraction between communication and control. Thanks to advances in cyber-physical systems over the past decades, we understand this interface for classical bit-rate models of channels as well as packet-loss-type channels. This article proposes a new abstraction characterized as a tradeoff curve between latency, reliability, and rate. Our aim is to understand-do we (control engineers) prefer faster but less reliable communications (with shorter codes), or slower but more reliable communications (with longer codes)? In this article, we examine the tradeoffs between latency and reliability for the problem of estimating dynamical systems over communication channels. Employing different latency-reliability curves derived from practical coding schemes, we develop a cross-layer design methodology, i.e., select the code length depending on the system dynamics to optimize system performance.