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Using self-organizing artificial neural networks for solving uncertain dynamic nonlinear system identification and function modeling problems

[1992] Proceedings of the 31st IEEE Conference on Decision and Control, 1992, p.2716-2721 vol.3

1992

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Gray layer technology: incorporating a priori knowledge into feedforward artificial neural networks

[Proceedings 1992] IJCNN International Joint Conference on Neural Networks, 1992, Vol.1, p.806-811 vol.1

1992

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On identification of partially known dynamic nonlinear systems with neural network

Proceedings of 8th IEEE International Symposium on Intelligent Control, 1993, p.499-504

1993

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A parameter estimation approach to artificial neural network weight selection for nonlinear system identification

[Proceedings 1992] The First IEEE Conference on Control Applications, 1992, p.565-570 vol.1

1992

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Identification of dynamic nonlinear systems using artificial neural networks incorporating a priori knowledge

[Proceedings 1992] The First IEEE Conference on Control Applications, 1992, p.571-576 vol.1

1992

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Estimation of system arterial parameters for control of an electrically actuated total artificial heart

Proceedings of the 32nd Midwest Symposium on Circuits and Systems, 1989, p.640-643 vol.1

1989

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Kalman based artificial neural network training algorithms for nonlinear system identification

Proceedings of 8th IEEE International Symposium on Intelligent Control, 1993, p.582-587

1993

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Parameter estimation of the systemic arterial bed for control of a total artificial heart

Images of the Twenty-First Century. Proceedings of the Annual International Engineering in Medicine and Biology Society, 1989, p.151-152 vol.1

1989

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Recursive estimation of systemic arterial parameters for control of an electrically actuated total artificial heart

Proceedings of the 28th IEEE Conference on Decision and Control, 1989, p.1798-1799 vol.2

1989

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Artificial neural network identification of partially known dynamic nonlinear systems

IEEE Decision and Control, 1993, 1993, Vol.ol. 4, p.3694-3699 vol.4

1993

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Nonlinear estimation of torque in switched reluctance motors using grid locking and preferential training techniques on self-organizing neural networks

[Proceedings 1992] IJCNN International Joint Conference on Neural Networks, 1992, Vol.2, p.811-816 vol.2

1992

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Estimation of artificial neural network parameters for nonlinear system identification

[1992] Proceedings of the 31st IEEE Conference on Decision and Control, 1992, p.2728-2733 vol.3

1992

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Modeling torque in a switched reluctance motor for adaptive control purposes using self-organizing neural networks

[Proceedings 1992] The First IEEE Conference on Control Applications, 1992, p.944-949 vol.2

1992

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Using self-organizing artificial neural networks for solving uncertain dynamic nonlinear system identification and function modeling problems

Gray layer technology: incorporating a priori knowledge into feedforward artificial neural networks

On identification of partially known dynamic nonlinear systems with neural network

A parameter estimation approach to artificial neural network weight selection for nonlinear system identification

Identification of dynamic nonlinear systems using artificial neural networks incorporating a priori knowledge

Estimation of system arterial parameters for control of an electrically actuated total artificial heart

Kalman based artificial neural network training algorithms for nonlinear system identification

Parameter estimation of the systemic arterial bed for control of a total artificial heart

Recursive estimation of systemic arterial parameters for control of an electrically actuated total artificial heart

Artificial neural network identification of partially known dynamic nonlinear systems

Nonlinear estimation of torque in switched reluctance motors using grid locking and preferential training techniques on self-organizing neural networks

Estimation of artificial neural network parameters for nonlinear system identification

Modeling torque in a switched reluctance motor for adaptive control purposes using self-organizing neural networks

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