Maximum likelihood parameter estimation algorithm for controlled autoregressive autoregressive models
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Publication:2885561
DOI10.1080/00207160.2011.598514zbMath1248.93161OpenAlexW2148936330MaRDI QIDQ2885561
Ruifeng Ding, Wei Wang, Junhong Li
Publication date: 23 May 2012
Published in: International Journal of Computer Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207160.2011.598514
Estimation and detection in stochastic control theory (93E10) Least squares and related methods for stochastic control systems (93E24) Identification in stochastic control theory (93E12)
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Cites Work
- Unnamed Item
- Unnamed Item
- Authors' reply to 'Comments on ``\(\operatorname{S}^3 \operatorname{PR}"\) [automatica 46(6) (2010) 1008-1018']
- A likelihood based estimator for vector autoregressive processes
- Least squares based and gradient based iterative identification for Wiener nonlinear systems
- Identification for the second-order systems based on the step response
- Hierarchical gradient based iterative parameter estimation algorithm for multivariable output error moving average systems
- Hierarchical least-squares based iterative identification for multivariable systems with moving average noises
- Gradient-based iterative parameter estimation for Box-Jenkins systems
- Auxiliary model based recursive generalized least squares parameter estimation for Hammerstein OEAR systems
- Auxiliary model based multi-innovation algorithms for multivariable nonlinear systems
- Model order determination using the Hankel matrix of impulse responses
- Performance analysis of the AM-SG parameter estimation for multivariable systems
- Least squares based iterative parameter estimation algorithm for multivariable controlled ARMA system modelling with finite measurement data
- Recursive least squares parameter estimation for non-uniformly sampled systems based on the data filtering
- Parameter estimation for nonlinear dynamical adjustment models
- Combined parameter and output estimation of dual-rate systems using an auxiliary model
- Performance analysis of multi-innovation gradient type identification methods
- Auxiliary model-based least-squares identification methods for Hammerstein output-error systems
- A finite-data-window least squares algorithm with a forgetting factor for dynamical modeling
- Auxiliary model identification method for multirate multi-input systems based on least squares
- The residual based interactive least squares algorithms and simulation studies
- Maximum likelihood estimation of time delays in multipath acoustic channel
- Least squares based iterative identification for a class of multirate systems
- Convergence of stochastic gradient estimation algorithm for multivariable ARX-like systems
- Auxiliary model-based RELS and MI-ELS algorithm for Hammerstein OEMA systems
- Maximum likelihood estimation for directional conditionally autoregressive models
- Self-tuning control based on multi-innovation stochastic gradient parameter estimation
- Reconstruction of continuous-time systems from their non-uniformly sampled discrete-time systems
- The residual based interactive stochastic gradient algorithms for controlled moving average models
- Faster ARMA maximum likelihood estimation
- Auxiliary model based multi-innovation extended stochastic gradient parameter estimation with colored measurement noises
- Multi-innovation stochastic gradient algorithm for multiple-input single-output systems using the auxiliary model
- Multi-innovation extended stochastic gradient algorithm and its performance analysis
- Extended stochastic gradient identification algorithms for Hammerstein-Wiener ARMAX systems
- Parameter identification of multi-input, single-output systems based on FIR models and least squares principle
- Identification of Hammerstein nonlinear ARMAX systems
- Kalman filter-based identification for systems with randomly missing measurements in a network environment
- Partially Coupled Stochastic Gradient Identification Methods for Non-Uniformly Sampled Systems
- An iterative method for the least squares solutions of the linear matrix equations with some constraint