Experiment design for maximum-power model validation

DOI10.1016/0005-1098(80)90025-4zbMath0453.93053OpenAlexW2343816153MaRDI QIDQ1149409

Torsten Bohlin, Ludomir Rewo

Publication date: 1980

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0005-1098(80)90025-4

Mathematics Subject Classification ID

Multivariable systems, multidimensional control systems (93C35) Discrete-time control/observation systems (93C55) Estimation and detection in stochastic control theory (93E10) Linear systems in control theory (93C05) Identification in stochastic control theory (93E12)

Cites Work

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• Dynamic system identification. Experiment design and data analysis
• Frequency domain approach for designing sampling rates for system identification
• Optimal experiment design for linear systems with input-output constraints
• Synthesis of linear stochastic signals in identification problems
• Maximum-power validation of models without higher-order fitting
• On input signal synthesis in parameter identification
• Optimal inputs for linear system identification
• Optimal input signals for parameter estimation in dynamic systems--Survey and new results
• Optimal policies for identification of stochastic linear systems

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