Joint estimation of states and parameters for an input nonlinear state-space system with colored noise using the filtering technique
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Publication:308028
DOI10.1007/s00034-015-0071-zzbMath1346.93384OpenAlexW327868073MaRDI QIDQ308028
Publication date: 5 September 2016
Published in: Circuits, Systems, and Signal Processing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00034-015-0071-z
Related Items (11)
Parameter estimation of LFM signals based on scaled ambiguity function ⋮ Analysis of nonlinear state space model with dependent measurement noises ⋮ The gradient-based iterative estimation algorithms for bilinear systems with autoregressive noise ⋮ Parameter and state estimation of nonlinear fractional-order model using Luenberger observer ⋮ New gradient based identification methods for multivariate pseudo-linear systems using the multi-innovation and the data filtering ⋮ Recursive and iterative least squares parameter estimation algorithms for multiple-input-output-error systems with autoregressive noise ⋮ Kalman state filtering based least squares iterative parameter estimation for observer canonical state space systems using decomposition ⋮ Modelling and multi-innovation parameter identification for Hammerstein nonlinear state space systems using the filtering technique ⋮ A recursive identification algorithm for Wiener nonlinear systems with linear state-space subsystem ⋮ Identification of Wiener channels using a tensor approach ⋮ Recursive least squares identification methods for multivariate pseudo-linear systems using the data filtering
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