Backlash compensation in nonlinear systems using dynamic inversion by neural networks

Proceedings of the 1999 IEEE International Conference on Control Applications (Cat. No.99CH36328) ◽

10.1109/cca.1999.801137 ◽

2003 ◽

Author(s):

R.R. Selmic ◽

F.L. Lewis

Keyword(s):

Neural Networks ◽

Nonlinear Systems ◽

Dynamic Inversion

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BACKLASH COMPENSATION WITH FILTERED PREDICTION IN DISCRETE TIME NONLINEAR SYSTEMS BY DYNAMIC INVERSION USING NEURAL NETWORKS

Asian Journal of Control ◽

10.1111/j.1934-6093.2004.tb00212.x ◽

2008 ◽

Vol 6 (3) ◽

pp. 362-375 ◽

Author(s):

J. Campos ◽

F. L. Lewis ◽

R. Selmic

Keyword(s):

Neural Networks ◽

Nonlinear Systems ◽

Discrete Time ◽

Dynamic Inversion

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Backlash compensation with filtered prediction in discrete time nonlinear systems by dynamic inversion using neural networks

Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187) ◽

10.1109/cdc.2000.912252 ◽

2002 ◽

Author(s):

J. Campos ◽

F.L. Lewis ◽

R. Selmic

Keyword(s):

Neural Networks ◽

Nonlinear Systems ◽

Discrete Time ◽

Dynamic Inversion

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Backlash compensation in discrete time nonlinear systems using dynamic inversion by neural networks

Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065) ◽

10.1109/robot.2000.844776 ◽

2002 ◽

Author(s):

J. Campos ◽

F.L. Lewis ◽

R. Selmic

Keyword(s):

Neural Networks ◽

Nonlinear Systems ◽

Discrete Time ◽

Dynamic Inversion

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BACKLASH COMPENSATION IN NONLINEAR SYSTEMS USING DYNAMIC INVERSION BY NEURAL NETWORKS

Asian Journal of Control ◽

10.1111/j.1934-6093.2000.tb00147.x ◽

2008 ◽

Vol 2 (2) ◽

pp. 76-87 ◽

Author(s):

Rastko R. Selmic ◽

Frank L. Lewis

Keyword(s):

Neural Networks ◽

Nonlinear Systems ◽

Dynamic Inversion

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Design of observers for continuous-time nonlinear systems using neural networks

Proceedings of the 2004 American Control Conference ◽

10.23919/acc.2004.1383829 ◽

2004 ◽

Author(s):

A. Alessandri ◽

C. Cervellera ◽

A.F. Grassia ◽

M. Sanguineti

Keyword(s):

Neural Networks ◽

Nonlinear Systems ◽

Continuous Time

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Robustness and Perturbation Analysis of a Class of Nonlinear Systems with Applications to Neural Networks

1993 American Control Conference ◽

10.23919/acc.1993.4793432 ◽

1993 ◽

Author(s):

Kaining Wang ◽

Anthony N. Michel

Keyword(s):

Neural Networks ◽

Nonlinear Systems ◽

Perturbation Analysis

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Adaptive Neural Networks Control for Markov Jump Nonlinear Systems with Nonstrict-Feedback Form and Uncertain Transition Rate

2020 39th Chinese Control Conference (CCC) ◽

10.23919/ccc50068.2020.9189547 ◽

2020 ◽

Author(s):

Boqiang Cao ◽

Xiaobing Nie

Keyword(s):

Neural Networks ◽

Nonlinear Systems ◽

Transition Rate ◽

Markov Jump ◽

Feedback Form ◽

Adaptive Neural Networks

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Passivity feedback equivalence of nonlinear systems via neural networks approximation

1999 European Control Conference (ECC) ◽

10.23919/ecc.1999.7099737 ◽

1999 ◽

Author(s):

R. Castro-Linares ◽

Wen Yu ◽

A. S. Poznyak

Keyword(s):

Neural Networks ◽

Nonlinear Systems ◽

Feedback Equivalence

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Event-triggered adaptive output-feedback neural-networks control for saturated strict-feedback nonlinear systems in the presence of external disturbance

Nonlinear Dynamics ◽

10.1007/s11071-021-06351-0 ◽

2021 ◽

Author(s):

Nassira Zerari ◽

Mohamed Chemachema

Keyword(s):

Neural Networks ◽

Nonlinear Systems ◽

Output Feedback ◽

External Disturbance ◽

Feedback Neural Networks ◽

Event Triggered ◽

Strict Feedback

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Adaptive control design using delayed dynamical neural networks for a class of nonlinear systems

Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164) ◽

10.1109/robot.2001.933151 ◽

2002 ◽

Author(s):

Wen-Shyong Yu ◽

Gwo-Chuan Wang

Keyword(s):

Neural Networks ◽

Adaptive Control ◽

Nonlinear Systems ◽

Control Design ◽

Dynamical Neural Networks

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