Multi‐innovation gradient parameter estimation for multivariable systems based on the maximum likelihood principle
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Publication:6053671
DOI10.1002/oca.2766OpenAlexW3191428444MaRDI QIDQ6053671
Feiyan Chen, Cheng Zhou, Sheng Xu, Huafeng Xia
Publication date: 23 October 2023
Published in: Optimal Control Applications and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/oca.2766
parameter estimationmaximum likelihooddecomposition techniquemulti-innovation identification theorymultivariable system
Multivariable systems, multidimensional control systems (93C35) Estimation and detection in stochastic control theory (93E10)
Related Items (4)
Identification of dual‐rate sampled errors‐in‐variables systems with time delays ⋮ Data filtering‐based parameter estimation algorithms for a class of nonlinear systems with colored noises ⋮ Maximum likelihood interval-varying recursive least squares identification for output-error autoregressive systems with scarce measurements ⋮ Multi‐innovation gradient‐based iterative identification methods for feedback nonlinear systems by using the decomposition technique
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