Application of input-signal design in system identification for adaptive control

DOI10.1080/00207728608926805zbMath0582.93041OpenAlexW2016997383WikidataQ126252117 ScholiaQ126252117MaRDI QIDQ3707867

Andrzej Królikowski

Publication date: 1986

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207728608926805

zbMATH Keywords

parameter estimationactive adaptive controllinear difference modelsrecursive least- squares method

Mathematics Subject Classification ID

Adaptive control/observation systems (93C40) Estimation and detection in stochastic control theory (93E10) Linear systems in control theory (93C05) Sampled-data control/observation systems (93C57) Identification in stochastic control theory (93E12)

Uses Software

• SDPT3

Cites Work

• Dynamic programming and stochastic control
• Dynamic system identification. Experiment design and data analysis
• Toward a computationally efficient optimal solution to the LQG discrete-time dual control problem
• An innovations approach to dual control
• Optimum input test signals for system identification—an information-theoretical approach
• An actively adaptive control for linear systems with random parameters via the dual control approach

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