Ten lectures on wavelets
Multilayer neural-net robot controller with guaranteed tracking performance
IEEE Transactions on Neural Networks
Artificial neural networks for solving ordinary and partial differential equations
IEEE Transactions on Neural Networks
Accuracy analysis for wavelet approximations
IEEE Transactions on Neural Networks
Algorithms for estimation in distributed parameter systems based on sensor networks and ANFIS
WSEAS TRANSACTIONS on SYSTEMS
3D nonparametric neural identification
Journal of Control Science and Engineering - Special issue on Dynamic Neural Networks for Model-Free Control and Identification
Hi-index | 0.00 |
In this paper a strategy based on differential neural networks for the identification of the parameters in a mathematical model described by partial differential equations is proposed. The identification problem is reduced to finding an exact expression for the weights dynamics using the differential neural networks properties. The adaptive laws for weights ensure the convergence of the neural network trajectories to the partial differential equation states. To investigate the qualitative behavior of the suggested methodology, here the non parametric modeling problem for a distributed parameter plant is analyzed: the tubular reactor system.