Coupled least squares identification algorithms for multivariate output-error systems
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Publication:1662599
DOI10.3390/a10010012zbMath1461.93520OpenAlexW2579168118MaRDI QIDQ1662599
Publication date: 20 August 2018
Published in: Algorithms (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.3390/a10010012
Non-Markovian processes: estimation (62M09) Point estimation (62F10) Least squares and related methods for stochastic control systems (93E24) Identification in stochastic control theory (93E12)
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Cites Work
- Adaptive identification of linear systems subject to Gross errors
- Subsystem identification of multivariable feedback and feedforward systems
- Exact predictor feedbacks for multi-input LTI systems with distinct input delays
- Novel data filtering based parameter identification for multiple-input multiple-output systems using the auxiliary model
- A recursive least squares algorithm for pseudo-linear ARMA systems using the auxiliary model and the filtering technique
- The effect of coupling conditions on the stability of bimodal systems in \(\mathbb{R}^3\)
- Synchronization for a class of coupled linear partial differential systems via boundary control
- Parameter estimation with scarce measurements
- Consistency of the robust recursive Hammerstein model identification algorithm
- Improved least squares identification algorithm for multivariable Hammerstein systems
- \(\ell\) major component detection and analysis (\(\ell^1\) MCDA): foundations in two dimensions
- Model equivalence-based identification algorithm for equation-error systems with colored noise
- Robust rank reduction algorithm with iterative parameter optimization and vector perturbation
- A CS recovery algorithm for model and time delay identification of MISO-FIR systems
- Data filtering based recursive and iterative least squares algorithms for parameter estimation of multi-input output systems
- A novel on-line Observer/Kalman filter identification method and its application to input-constrained active fault-tolerant tracker design for unknown stochastic systems
- Self-tuning average consensus in complex networks
- A recursive parametric estimation algorithm of multivariable nonlinear systems described by Hammerstein mathematical models
- Auxiliary model method for transfer function estimation from noisy input and output data
- Recursive least squares estimation algorithm applied to a class of linear-in-parameters output error moving average systems
- Partially Coupled Stochastic Gradient Identification Methods for Non-Uniformly Sampled Systems
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