Neurofuzzy adaptive modelling and control
Neurofuzzy adaptive modelling and control
Robust adaptive control
Identification of nonlinear dynamical systems using multilayered neural networks
Automatica (Journal of IFAC)
Adaptive Neural Network Control of Robotic Manipulators
Adaptive Neural Network Control of Robotic Manipulators
Stability of Adaptive Controllers
Stability of Adaptive Controllers
NLq theory: checking and imposing stability of recurrentneural networks for nonlinear modeling
IEEE Transactions on Signal Processing
Input-to-state stability for discrete-time nonlinear systems
Automatica (Journal of IFAC)
Multilayer neural-net robot controller with guaranteed tracking performance
IEEE Transactions on Neural Networks
Robust backpropagation training algorithm for multilayered neural tracking controller
IEEE Transactions on Neural Networks
Stable dynamic backpropagation learning in recurrent neural networks
IEEE Transactions on Neural Networks
Some new results on system identification with dynamic neural networks
IEEE Transactions on Neural Networks
Adaptive-Fourier-Neural-Network-Based Control for a Class of Uncertain Nonlinear Systems
IEEE Transactions on Neural Networks
High-order neural network structures for identification of dynamical systems
IEEE Transactions on Neural Networks
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In general, neural networks cannot match non-linear systems exactly. Neuro identifier has to include robust modification in order to guarantee Lyapunov stability. In this paper input-to-state stability approach is applied to access robust training algorithms of Fourier neural network (FoNN). It is successfully applied on modeling lettuce growth in green-house.