A universal construction of Artstein's theorem on nonlinear stabilization
Systems & Control Letters
Feedback linearization using neural networks
Automatica (Journal of IFAC)
Neural adaptive regulation of unknown nonlinear dynamical systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Robust neural adaptive stabilization of unknown systems withmeasurement noise
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Universal approximation bounds for superpositions of a sigmoidal function
IEEE Transactions on Information Theory
Multilayer discrete-time neural-net controller with guaranteed performance
IEEE Transactions on Neural Networks
Identification and control of dynamical systems using neural networks
IEEE Transactions on Neural Networks
The Stone-Weierstrass theorem and its application to neural networks
IEEE Transactions on Neural Networks
Gaussian networks for direct adaptive control
IEEE Transactions on Neural Networks
A perceptron network for functional identification and control of nonlinear systems
IEEE Transactions on Neural Networks
Neural net robot controller with guaranteed tracking performance
IEEE Transactions on Neural Networks
Brief paper: An adaptive neuro-fuzzy tracking control for multi-input nonlinear dynamic systems
Automatica (Journal of IFAC)
Brief paper: A neuro-adaptive congestion control scheme for round trip regulation
Automatica (Journal of IFAC)
Engineering Applications of Artificial Intelligence
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Neural Networks
Sampled-data adaptive NN tracking control of uncertain nonlinear systems
IEEE Transactions on Neural Networks
Fairness guarantees in a neural network adaptive congestion control framework
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
Adaptive dynamic programming: an introduction
IEEE Computational Intelligence Magazine
Neuro-adaptive force/position control with prescribed performance and guaranteed contact maintenance
IEEE Transactions on Neural Networks
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part II
Support vector machine adaptive control of nonlinear systems
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part II
Robust adaptive control of linearizable nonlinear single input systems with guaranteed error bounds
Automatica (Journal of IFAC)
Hi-index | 22.15 |
A new approach to the tracking problem, for affine in the control nonlinear dynamical systems, whose nonlinearities are assumed to be unknown, is presented in this paper. The philosophy of the developed technique is based on estimating the derivative of an unknown Lyapunov function, exploiting the approximation capabilities of the linear in the weights neural network structures. A novel resetting strategy guarantees the boundedness away from zero of certain signals. The uniform ultimate boundedness of the tracking error to an arbitrarily small set, plus the boundedness of all other signals in the closed loop is guaranteed.