Journal
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
Volume 66, Issue 3, Pages 1009-1023Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TAC.2020.2992563
Keywords
Reliability theory; Dynamical systems; Encoding; Delays; Estimation; Sensors; Channel coding; high-reliability; low-latency; networked control systems; state estimation
Funding
- NSF [CPS-1837253, NSF-CCF 1755707]
- Intel Science and Technology Center for Wireless Autonomous Systems (ISTC-WAS)
- ARL DCIST CRA [W911NF-17-2-0181]
Ask authors/readers for more resources
This article introduces a new abstraction between communication and control, characterized by a tradeoff curve between latency, reliability, and rate. By examining the tradeoffs between latency and reliability for estimating dynamical systems over communication channels, and utilizing different latency-reliability curves, a cross-layer design methodology is developed to optimize system performance.
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available