Proceedings Article10.1109/MED.2007.4433707
Adaptive Backstepping control for MAPK cascade models using RBF neural networks
Kyriakos G. Vamvoudakis,M.A. Christodoulou +1 more
- 27 Jun 2007
- pp 1-6
2
TL;DR: In this paper, an adaptive backstepping neural network control approach is used for a class of affine nonlinear systems which describe the Mitogen Activated Protein Kinase (MAPK) cascade models in the strict feedback form.
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Abstract: In this paper, an Adaptive Backstepping Neural Network control approach is used for a class of affine nonlinear systems which describe the Mitogen Activated Protein Kinase (MAPK) cascade models in the strict feedback form. We consider some of forms of the MAPK cascade [4]. The close loop signals are semiglobally uniformly ultimately bounded and the output of the system is proven to follow a desired trajectory. Simulation results are presented to show the effectiveness of the approach proposed in order to control the MAPK output.
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Citations
Adaptive Backstepping Neural Network Control for Mechanical Pumps
Kyriakos G. Vamvoudakis,M.A. Christodoulou,K.G. Vamvoudakis,M. A. Christodoulou +3 more
- 01 Jan 2012
TL;DR: An Adaptive Backstepping Neural Network control approach is used for a class of affine nonlinear systems which describe the pump model in the strict feedback form and the output of the system is proven to follow a desired trajectory.
Adaptive Control of Mixed-Interlaced forms
Kyriakos G. Vamvoudakis,M.A. Christodoulou,M. A. Christodoulou +2 more
- 01 Jan 2012
TL;DR: This paper combines forwarding and backstepping techniques to stabilize mixed interlaced systems, and presents simulation examples that prove the adaptation of mixed interLaced forms, using a backstepped controller.
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