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