Identification for robust \(H_{2}\) deconvolution filtering

DOI10.1016/j.automatica.2010.01.023zbMath1194.93204OpenAlexW2070744057MaRDI QIDQ987620

Gérard Scorletti, Håkan Hjalmarsson, Xavier Bombois

Publication date: 13 August 2010

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2010.01.023

zbMATH Keywords

system identificationoptimal experiment designdeconvolution filteringtraining signal design

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Identification in stochastic control theory (93E12)

Related Items (3)

Performance analysis for uncertain multivariable systems obtained by system identification ⋮ Design of an Optimal Input Signal for Parameter Estimation of Linear Fractional-Order Systems ⋮ LPV system identification for control using the local approach

Cites Work

• Least costly identification experiment for control
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• Model validation for control and controller validation in a prediction error identification framework. I: Theory
• Identification for control of multivariable systems: controller validation and experiment design via LMIs
• Linear Matrix Inequalities in System and Control Theory
• H/sub 2/ and H/sub ∞/ robust filtering for convex bounded uncertain systems
• Training Signal Design for Estimation of Correlated MIMO Channels With Colored Interference
• Robust H/sub 2/ and H/sub /spl infin// filters for uncertain LFT systems
• Input design via LMIs admitting frequency-wise model specifications in confidence regions
• Robust mean-squared error estimation in the presence of model uncertainties

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