Neural network approximation for periodically disturbed functions and applications to control design
- 31 October 2009
- journal article
- Published by Elsevier BV in Neurocomputing
- Vol. 72 (16-18), 3891-3900
- https://doi.org/10.1016/j.neucom.2009.05.005
Abstract
No abstract availableKeywords
This publication has 24 references indexed in Scilit:
- Wavelet Adaptive Backstepping Control for a Class of Nonlinear SystemsIEEE Transactions on Neural Networks, 2006
- An ISS-modular approach for adaptive neural control of pure-feedback systemsAutomatica, 2006
- Adaptive control for output feedback nonlinear systems in the presence of modeling errorsAutomatica, 2002
- Adaptive neural network control for strict-feedback nonlinear systems using backstepping designAutomatica, 2000
- Deadzone compensation in motion control systems using neural networksIEEE Transactions on Automatic Control, 2000
- Stable adaptive neural control scheme for nonlinear systemsIEEE Transactions on Automatic Control, 1996
- Accuracy analysis for wavelet approximationsIEEE Transactions on Neural Networks, 1995
- High-order neural network structures for identification of dynamical systemsIEEE Transactions on Neural Networks, 1995
- Universal Approximation Using Radial-Basis-Function NetworksNeural Computation, 1991
- Multilayer feedforward networks are universal approximatorsNeural Networks, 1989