Conditions when minimum variance control is the optimal experiment for identifying a minimum variance controller

DOI10.1016/j.automatica.2011.01.014zbMath1216.93032OpenAlexW1988210542MaRDI QIDQ716136

Håkan Hjalmarsson, Jonas Mårtensson, Cristian R. Rojas

Publication date: 19 April 2011

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2011.01.014

zbMATH Keywords

system identificationexperiment designminimum variance control

Mathematics Subject Classification ID

System identification (93B30) Design techniques (robust design, computer-aided design, etc.) (93B51)

Related Items (1)

Covariance analysis in SISO linear systems identification

Cites Work

• System identification of complex and structured systems
• For model-based control design, closed-loop identification gives better performance
• Identification for control: Optimal input intended to identify a minimum variance controller
• Dynamic system identification. Experiment design and data analysis
• Optimal experiment design for dynamic system identification
• From experiment design to closed-loop control
• Some results on optimal experiment design
• Asymptotic variance expressions for identified black-box transfer function models
• Optimal input signals for parameter estimation in dynamic systems--Survey and new results
• Variance Error Quantifications That Are Exact for Finite-Model Order
• Input design via LMIs admitting frequency-wise model specifications in confidence regions
• Choosing Between Open- and Closed-Loop Experiments in Linear System Identification
• Unnamed Item
• Unnamed Item

This page was built for publication: Conditions when minimum variance control is the optimal experiment for identifying a minimum variance controller