Data-driven subspace predictive control: stability and horizon tuning
type: Item
instance of: scholarly article
title: Data-driven subspace predictive control: stability and horizon tuning
zbMATH Open document ID: 1398.93279
author: Saba Sedghizadeh
author: Soosan Beheshti
published in: Journal of the Franklin Institute
publication date: 2018-10-18T00:00:00Z
Mathematics Subject Classification ID: 93D05
Mathematics Subject Classification ID: 93B35
Mathematics Subject Classification ID: 93C35
Mathematics Subject Classification ID: 93-04
zbMATH DE Number: 6957919
zbMATH Keywords: subspace predictive control
zbMATH Keywords: closed-loop stability
zbMATH Keywords: robustness
MaRDI profile type: Publication
full work available at URL: j.jfranklin.2018.07.032
OpenAlex ID: W2888382725
cites work: Stable predictive control horizons
cites work: Robustly asymptotically stable finite-horizon MPC
cites work: Infinite horizon stable predictive control
cites work: On the choice of the horizon in long-range predictive control - some simple criteria
cites work: Constrained model predictive control: Stability and optimality
cites work: On type 1 systems and the Clarke-Gawthrop regulator
cites work: Adaptive predictive control: a data-driven closed-loop subspace identification approach
cites work: Q4366804
cites work: Identification of the deterministic part of MIMO state space models given in innovations form from input-output data
Wikidata QID: Q129342683
DOI: 10.1016/J.JFRANKLIN.2018.07.032
description: scientific article; zbMATH DE number 6957919