Least-squares based and gradient based iterative parameter estimation algorithms for a class of linear-in-parameters multiple-input single-output output error systems

DOI10.1155/2014/673197zbMath1463.93246OpenAlexW2032010756WikidataQ59053987 ScholiaQ59053987MaRDI QIDQ2336626

Publication date: 19 November 2019

Published in: Journal of Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2014/673197

Mathematics Subject Classification ID

Nonlinear systems in control theory (93C10) Multivariable systems, multidimensional control systems (93C35) Least squares and related methods for stochastic control systems (93E24) Identification in stochastic control theory (93E12)

Cites Work

Hierarchical multi-innovation stochastic gradient algorithm for Hammerstein nonlinear system modeling
Comparing some classes of bias-compensating least squares methods
An efficient hierarchical identification method for general dual-rate sampled-data systems
Hierarchical estimation algorithms for multivariable systems using measurement information
Robust mixed control of networked control systems with random time delays in both forward and backward communication links
Least squares based and gradient based iterative identification for Wiener nonlinear systems
Bias compensation methods for stochastic systems with colored noise
Gradient based and least squares based iterative algorithms for matrix equations \(AXB + CX^{T}D = F\)
Unbiased identification of a class of multi-input single-output systems with correlated disturbances using bias compensation methods
Parameter estimation with scarce measurements
Performance analysis of multi-innovation gradient type identification methods
Parameter identification of Wiener systems with multisegment piecewise-linear nonlinearities
Least squares based iterative identification for a class of multirate systems
Convergence of stochastic gradient estimation algorithm for multivariable ARX-like systems
Self-tuning control based on multi-innovation stochastic gradient parameter 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
Two-stage least squares based iterative estimation algorithm for CARARMA system modeling
On the generalized reflexive and anti-reflexive solutions to a system of matrix equations
Least-squares parameter estimation algorithm for a class of input nonlinear systems
Parameter estimation for Hammerstein CARARMA systems based on the Newton iteration
Multi-innovation extended stochastic gradient algorithm and its performance analysis
The generalized QMRCGSTAB algorithm for solving Sylvester-transpose matrix equations
Recursive least squares estimation algorithm applied to a class of linear-in-parameters output error moving average systems
Several gradient-based iterative estimation algorithms for a class of nonlinear systems using the filtering technique
Data filtering based recursive least squares algorithm for Hammerstein systems using the key-term separation principle
Gradient-based iterative identification for nonuniform sampling output error systems
Fault-tolerant control algorithm of the manned submarine with multi-thruster based on quantum-behaved particle swarm optimisation
Adaptive fault-tolerant control of non-linear systems: an improved CMAC-based fault learning approach
Kalman filter-based identification for systems with randomly missing measurements in a network environment
Least squares based self‐tuning control of dual‐rate systems
Bias compensation‐based parameter estimation for output error moving average systems
Output Feedback Stabilization of Networked Control Systems With Random Delays Modeled by Markov Chains
Hierarchical Least Squares Identification for Linear SISO Systems With Dual-Rate Sampled-Data
H_∞Control for Discrete-Time Markov Jump Systems With Uncertain Transition Probabilities

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