Scheduling of a limited communication channel for optimal control.
type: Item
instance of: scholarly article
title: Scheduling of a limited communication channel for optimal control.
zbMATH Open document ID: 1044.93040
author: Henrik Rehbinder
author: Martin Sanfridson
published in: Automatica
publication date: 2004-03-14T00:00:00Z
review text: The paper deals with computer control systems with physical bandwidth limitation. Given a continuous-time LQ-controller, the task is to design a sampled-data LQ-controller and a communication sequence such that the performance deviation between the underlying ideal continuous-time LQ-controller and the resulting sampled-data controller is minimal. The optimal schedule is defined as the solution of a combinatorial optimization problem which is solved in a heuristic manner. The scheduling model is periodic. As an example showing how the algorithm works, the authors consider the simultaneous control of two uncoupled inverted pendulums.
Mathematics Subject Classification ID: 93C57
Mathematics Subject Classification ID: 90B18
Mathematics Subject Classification ID: 49N10
zbMATH DE Number: 2056279
zbMATH Keywords: limited communication
zbMATH Keywords: periodic control
zbMATH Keywords: sampled-data control
zbMATH Keywords: LQ-control
zbMATH Keywords: combinatorial optimization
zbMATH Keywords: Timing jitter
zbMATH Keywords: Scheduling
reviewed by: Guy Jumarie
MaRDI profile type: Publication
full work available at URL: j.automatica.2003.10.022
OpenAlex ID: W2176326197
cites work: Q3995743
cites work: An algebraic Riccati equation for the discrete-time periodic prediction problem
cites work: The Riccati equation
cites work: Optimal sampled-data control systems
cites work: Q4485834
cites work: Limited communication control
cites work: Sampling period sensitivity of the optimal sampled data linear regulator
cites work: Systems with finite communication bandwidth constraints. I. State estimation problems
cites work: Systems with finite communication bandwidth constraints. II. Stabilization with limited information feedback
DOI: 10.1016/J.AUTOMATICA.2003.10.022
description: scientific article; zbMATH DE number 2056279