Multilayer feedforward networks are universal approximators
Neural Networks
Nonlinear control systems: an introduction (2nd ed.)
Nonlinear control systems: an introduction (2nd ed.)
A bioreactor benchmark for adaptive network-based process control
Neural networks for control
Feedback linearization using neural networks
Automatica (Journal of IFAC)
Adaptive Systems with Reduced Models
Adaptive Systems with Reduced Models
On performance evaluation in online approximation for control
IEEE Transactions on Neural Networks
Nonlinear adaptive control using networks of piecewise linear approximators
IEEE Transactions on Neural Networks
Neural net robot controller with guaranteed tracking performance
IEEE Transactions on Neural Networks
An observer-based neural networks control scheme for nonlinear systems
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
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For a class of single-input, single-output, continuous-time nonlinear systems, a feedback linearizing neural network (NN) controller is presented. Control action is used to achieve tracking performance. The controller is composed of a robustifying term and two neural networks adapted on-line to linearize the system by approximating two nonlinear functions. A stability proof is given in the sense of Lyapunov. No off-line weight learning phase is needed and initialization of the network weights is straightforward. The NN controller is tested on a standard benchmark problem.