MRAC of nonlinear systems using neural networks with recursive least squares adaptation

IEEE International Conference on Neural Networks ◽

10.1109/icnn.1993.298613 ◽

2002 ◽

Author(s):

K.F. Fong ◽

A.P. Loh

Keyword(s):

Neural Networks ◽

Nonlinear Systems ◽

Least Squares ◽

Recursive Least Squares

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Recursive least squares estimation methods for a class of nonlinear systems based on non‐uniform sampling

International Journal of Adaptive Control and Signal Processing ◽

10.1002/acs.3263 ◽

2021 ◽

Author(s):

Qilin Liu ◽

Feiyan Chen ◽

Feng Ding ◽

Ahmed Alsaedi ◽

Tasawar Hayat

Keyword(s):

Nonlinear Systems ◽

Least Squares ◽

Least Squares Estimation ◽

Recursive Least Squares ◽

Estimation Methods ◽

Uniform Sampling ◽

Non Uniform Sampling

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Fast learning process of multilayer neural networks using recursive least squares method

IEEE Transactions on Signal Processing ◽

10.1109/78.124956 ◽

1992 ◽

Vol 40 (2) ◽

pp. 446-450 ◽

Author(s):

M.R. Azimi-Sadjadi ◽

R.-J. Liou

Keyword(s):

Neural Networks ◽

Least Squares ◽

Learning Process ◽

Least Squares Method ◽

Recursive Least Squares ◽

Fast Learning ◽

Multilayer Neural Networks ◽

Recursive Least Squares Method

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Recursive Least Squares Parameter Estimation for a Class of Output Nonlinear Systems Based on the Model Decomposition

Circuits Systems and Signal Processing ◽

10.1007/s00034-015-0190-6 ◽

2015 ◽

Vol 35 (9) ◽

pp. 3323-3338 ◽

Author(s):

Feng Ding ◽

Xuehai Wang ◽

Qijia Chen ◽

Yongsong Xiao

Keyword(s):

Parameter Estimation ◽

Nonlinear Systems ◽

Least Squares ◽

Recursive Least Squares ◽

Model Decomposition

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A decomposition based recursive least squares identification algorithm for input nonlinear systems

2016 Chinese Control and Decision Conference (CCDC) ◽

10.1109/ccdc.2016.7532009 ◽

2016 ◽

Author(s):

Huibo Chen ◽

Yongsong Xiao

Keyword(s):

Nonlinear Systems ◽

Least Squares ◽

Recursive Least Squares ◽

Identification Algorithm

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Fault diagnosis for unknown non-linear systems via neural networks and its comparisons and combinations with recursive least-squares based techniques

Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering ◽

10.1243/0959651011541030 ◽

2001 ◽

Vol 215 (3) ◽

pp. 261-278 ◽

Author(s):

H Wang ◽

J R Noriega

Keyword(s):

Neural Networks ◽

Fault Diagnosis ◽

Least Squares ◽

Linear Systems ◽

Recursive Least Squares ◽

Non Linear Systems

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Recursive least squares parameter estimation algorithm for dual-rate sampled-data nonlinear systems

Nonlinear Dynamics ◽

10.1007/s11071-013-1212-1 ◽

2014 ◽

Vol 76 (2) ◽

pp. 1327-1334 ◽

Author(s):

Xiangli Li ◽

Lincheng Zhou ◽

Jie Sheng ◽

Ruifeng Ding

Keyword(s):

Parameter Estimation ◽

Nonlinear Systems ◽

Least Squares ◽

Estimation Algorithm ◽

Recursive Least Squares ◽

Sampled Data ◽

Parameter Estimation Algorithm

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Training Recurrent Neural Networks Using Optimization Layer-by- Layer Recursive Least Squares Algorithm for Vibration Signals System Identification and Fault Diagnostic Analysis

Journal of Intelligent Systems ◽

10.1515/jisys.2001.11.2.125 ◽

2001 ◽

Vol 11 (2) ◽

Author(s):

S.-Y. Cho ◽

T.W.S. Chow ◽

Y. Fang

Keyword(s):

Neural Networks ◽

System Identification ◽

Least Squares ◽

Recurrent Neural Networks ◽

Recursive Least Squares ◽

Layer By Layer ◽

Diagnostic Analysis ◽

Vibration Signals ◽

Recursive Least Squares Algorithm ◽

Fault Diagnostic

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New recursive-least-squares algorithms for nonlinear active control of sound and vibration using neural networks

IEEE Transactions on Neural Networks ◽

10.1109/72.896802 ◽

2001 ◽

Vol 12 (1) ◽

pp. 135-147 ◽

Author(s):

M. Bouchard

Keyword(s):

Neural Networks ◽

Least Squares ◽

Active Control ◽

Recursive Least Squares

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Hierarchical recursive least squares parameter estimation of non-uniformly sampled Hammerstein nonlinear systems based on Kalman filter

Journal of the Franklin Institute ◽

10.1016/j.jfranklin.2017.02.010 ◽

2017 ◽

Vol 354 (10) ◽

pp. 4231-4246 ◽

Author(s):

Lincheng Zhou ◽

Xiangli Li ◽

Lijie Shan ◽

Jing Xia ◽

Wei Chen

Keyword(s):

Parameter Estimation ◽

Kalman Filter ◽

Nonlinear Systems ◽

Least Squares ◽

Recursive Least Squares

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Recursive least squares based hierarchical estimation for multi-input nonlinear systems

2019 Chinese Control And Decision Conference (CCDC) ◽

10.1109/ccdc.2019.8832714 ◽

2019 ◽

Author(s):

Jiling Ding ◽

Weihai Zhang

Keyword(s):

Nonlinear Systems ◽

Least Squares ◽

Recursive Least Squares ◽

Hierarchical Estimation

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