Recursive least-squares parameter estimation in SISO systems via Poisson moment functionals Part 2. Closed-loop systems

DOI10.1080/00207729008910446zbMath0709.93024OpenAlexW2052193301MaRDI QIDQ3494799

R. V. Subramanyan, Dines Chandra Saha

Publication date: 1990

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

Full work available at URL: https://doi.org/10.1080/00207729008910446

zbMATH Keywords

time-invariantjoint process identificationPoisson moment functional approachrecursive least-squares parameter estimation algorithmSISO systems in a closed loop

Mathematics Subject Classification ID

System identification (93B30) Estimation and detection in stochastic control theory (93E10) Linear systems in control theory (93C05)

Cites Work

• Identification of processes in closed loop-identifiability and accuracy aspects
• System identification. A survey
• Recursive least-squares parameter estimation in SISO systems via Poisson moment functionals Part 1. Open–loop systems
• Transfer function matrix identification in MIMO systems via Poisson moment functionals
• Identifiability conditions for linear systems operating in closed loop†
• Identification of linear, multivariable systems operating under linear feedback control
• Least-squares identification of closed-loop systems
• Feedback between stationary stochastic processes
• On identifying stochastic closed-loop systems
• Weak and strong feedback free processes

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