Reinforcing robustness using high order neural network controllers

Proceedings of the 37th IEEE Conference on Decision and Control (Cat. No.98CH36171) ◽

10.1109/cdc.1998.760836 ◽

2002 ◽

Cited By ~ 1

Author(s):

G.A. Rovithakis

Keyword(s):

Neural Network ◽

High Order ◽

High Order Neural Network ◽

Neural Network Controllers

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Robustifying nonlinear systems using high-order neural network controllers

IEEE Transactions on Automatic Control ◽

10.1109/9.739082 ◽

1999 ◽

Vol 44 (1) ◽

pp. 102-108 ◽

Cited By ~ 20

Author(s):

G.A. Rovithakis

Keyword(s):

Neural Network ◽

Nonlinear Systems ◽

High Order ◽

High Order Neural Network ◽

Neural Network Controllers

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Comments on "Robustifying nonlinear systems using high-order neural network controllers"

IEEE Transactions on Automatic Control ◽

10.1109/9.855579 ◽

2000 ◽

Vol 45 (5) ◽

pp. 1033-1036

Author(s):

Y. Zhang ◽

P.Y. Peng ◽

G.A. Rovithakis

Keyword(s):

Neural Network ◽

Nonlinear Systems ◽

High Order ◽

High Order Neural Network ◽

Neural Network Controllers

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Design of a HONN (high order neural network) by using a DSP based system for the performance increasing of an induction motor under changeable load

2000 26th Annual Conference of the IEEE Industrial Electronics Society. IECON 2000. 2000 IEEE International Conference on Industrial Electronics, Control and Instrumentation. 21st Century Technologies and Industrial Opportunities (Cat. No.00CH37141) ◽

10.1109/iecon.2000.972359 ◽

2002 ◽

Author(s):

K. Gulez ◽

N. Mutoh ◽

F. Harashima ◽

K. Ohnishi ◽

H. Pastaci

Keyword(s):

Neural Network ◽

Induction Motor ◽

High Order ◽

High Order Neural Network

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Discrete-time high-order neural network identifier trained with high-order sliding mode observer and unscented Kalman filter

Neurocomputing ◽

10.1016/j.neucom.2019.12.005 ◽

2019 ◽

Cited By ~ 1

Author(s):

M. Hernandez-Gonzalez ◽

M.V. Basin ◽

E.A. Hernandez-Vargas

Keyword(s):

Neural Network ◽

Kalman Filter ◽

Discrete Time ◽

Unscented Kalman Filter ◽

Sliding Mode ◽

High Order ◽

Sliding Mode Observer ◽

High Order Neural Network

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Levenberg-Marquardt and Conjugate Gradient methods applied to a high-order neural network

The 2013 International Joint Conference on Neural Networks (IJCNN) ◽

10.1109/ijcnn.2013.6707004 ◽

2013 ◽

Cited By ~ 9

Author(s):

Islam El-Nabarawy ◽

Ashraf M. Abdelbar ◽

Donald C. Wunsch

Keyword(s):

Neural Network ◽

Conjugate Gradient ◽

Gradient Methods ◽

High Order ◽

Conjugate Gradient Methods ◽

Levenberg Marquardt ◽

High Order Neural Network

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Pattern Classification of Surface Electromyography Based on AR Model and High-order Neural Network

2006 2nd IEEE/ASME International Conference on Mechatronics and Embedded Systems and Applications ◽

10.1109/mesa.2006.296982 ◽

2006 ◽

Cited By ~ 4

Author(s):

Zhizeng Luo ◽

Fei Wang ◽

Wenjie Ma

Keyword(s):

Neural Network ◽

Pattern Classification ◽

Surface Electromyography ◽

High Order ◽

Ar Model ◽

High Order Neural Network

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Backstepping control for periodically time-varying systems using high-order neural network and Fourier series expansion

ISA Transactions ◽

10.1016/j.isatra.2010.03.002 ◽

2010 ◽

Vol 49 (3) ◽

pp. 283-292 ◽

Cited By ~ 19

Author(s):

Weisheng Chen ◽

Wei Li ◽

Qiguang Miao

Keyword(s):

Neural Network ◽

Fourier Series ◽

Series Expansion ◽

Backstepping Control ◽

High Order ◽

Fourier Series Expansion ◽

Time Varying ◽

Time Varying Systems ◽

High Order Neural Network

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Design Of A High Order Neural Network Motion Sensor

10.1117/12.951680 ◽

1989 ◽

Cited By ~ 3

Author(s):

Luis R. Lopez

Keyword(s):

Neural Network ◽

High Order ◽

Motion Sensor ◽

High Order Neural Network

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High-order neural network systems in the identification of dynamical systems

Control and Dynamic System - Neural Network Systems Techniques and Applications ◽

10.1016/s1874-5946(98)80087-4 ◽

1998 ◽

pp. 279-305

Author(s):

Elias B. Kosmatopoulos ◽

Manolis A. Christodoulou

Keyword(s):

Neural Network ◽

Dynamical Systems ◽

High Order ◽

Network Systems ◽

High Order Neural Network

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Design of Filtering Fault Diagnosis Method for Power Converter Based on High-Order Neural Network

Artificial Intelligence and Robotics Research ◽

10.12677/airr.2019.82011 ◽

2019 ◽

Vol 08 (02) ◽

pp. 90-96

Author(s):

子幸刘

Keyword(s):

Neural Network ◽

Fault Diagnosis ◽

Power Converter ◽

High Order ◽

Diagnosis Method ◽

High Order Neural Network

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