The role of parameter constraints in EE and OE methods for optimal identification of continuous LTI models

DOI10.2478/v10006-012-0028-3zbMath1283.93087OpenAlexW2081009326MaRDI QIDQ5403371

Jędrzej Byrski, Witold Byrski

Publication date: 26 March 2014

Published in: International Journal of Applied Mathematics and Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2478/v10006-012-0028-3

zbMATH Keywords

least squares methodcontinuous systemsmodulating functionsparameter constraints in identificationtransfer function normalization

Mathematics Subject Classification ID

System identification (93B30) Least squares and related methods for stochastic control systems (93E24) Control/observation systems governed by ordinary differential equations (93C15)

Related Items

On-line process identification using the Modulating Functions Method and non-asymptotic state estimation ⋮ A double window state observer for detection and isolation of abrupt changes in parameters ⋮ Parametric logarithmic type image processing for contrast based auto-focus in extreme lighting conditions ⋮ An adaptive identification method based on the modulating functions technique and exact state observers for modeling and simulation of a nonlinear MISO glass melting process ⋮ Online continuous-time adaptive predictive control of the technological glass conditioning process

Cites Work

• Unnamed Item
• Unnamed Item
• Issues in sampling and estimating continuous-time models with stochastic disturbances
• Parameter estimation for continuous-time models - a survey
• Frequency-domain identification of continuous-time ARMA models from sampled data
• Design of optimal input signals for the identification of distributed parameter systems †