Stabilization of uncertain systems using quantized and lossy observations and uncertain control inputs

Kunihisa Okano, Hideaki Ishii

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

In this paper, we consider a stabilization problem of an uncertain system in a networked control setting. Due to the network, the measurements are quantized to finite-bit signals and may be randomly lost in the communication. We study uncertain autoregressive systems whose state and input parameters vary within given intervals. We derive conditions for making the plant output to be mean square stable, characterizing limitations on data rate, packet loss probabilities, and magnitudes of uncertainty. It is shown that a specific class of nonuniform quantizers can achieve stability with a lower data rate compared with the common uniform one.

Original languageEnglish
Pages (from-to)261-269
Number of pages9
JournalAutomatica
Volume81
DOIs
Publication statusPublished - Jul 1 2017

Fingerprint

Uncertain systems
Stabilization
Packet loss
Communication
Uncertainty

Keywords

  • Data rate constraints
  • Networked control
  • Packet losses
  • Quantization
  • System uncertainties

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Stabilization of uncertain systems using quantized and lossy observations and uncertain control inputs. / Okano, Kunihisa; Ishii, Hideaki.

In: Automatica, Vol. 81, 01.07.2017, p. 261-269.

Research output: Contribution to journalArticle

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