Information Sciences: an International Journal
Direct Adaptive Fuzzy-Neural Control for MIMO Nonlinear Systems Via Backstepping
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks
Backstepping Control of Uncertain Time Delay Systems Based on Neural Network
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks
Adaptive Control for a Class of Nonlinear Time-Delay Systems Using RBF Neural Networks
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks
Robust H∞ control of Takagi--Sugeno fuzzy systems with state and input time delays
Fuzzy Sets and Systems
Preventing bursting in approximate-adaptive control when using local basis functions
Fuzzy Sets and Systems
Expert Systems with Applications: An International Journal
Brief paper: Direct adaptive fuzzy control of nonlinear strict-feedback systems
Automatica (Journal of IFAC)
Adaptive Backstepping Fuzzy Control for a Class of Nonlinear Systems
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part II
Intelligent robust tracking control for a class of uncertain strict-feedback nonlinear systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on human computing
Robust output feedback control for a class of nonlinear systems by adaptive neural networks
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
A combined backstepping and small-gain approach to robust adaptive fuzzy output feedback control
IEEE Transactions on Fuzzy Systems
A Backstepping Approach to Ship Course Control
International Journal of Applied Mathematics and Computer Science
A new robust weight update for multilayer-perceptron adaptive control
Control and Intelligent Systems
Fast retraining of artificial neural networks
RSFDGrC'03 Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing
An ISS-modular approach for adaptive neural control of pure-feedback systems
Automatica (Journal of IFAC)
ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part II
Output feedback adaptive robust NN control for a class of nonlinear discrete-time systems
ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part II
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We propose, from an adaptive control perspective, a neural controller for a class of unknown, minimum phase, feedback linearizable nonlinear system with known relative degree. The control scheme is based on the backstepping design technique in conjunction with a linearly parametrized neural-network structure. The resulting controller, however, moves the complex mechanics involved in a typical backstepping design from off-line to online. With appropriate choice of the network size and neural basis functions, the same controller can be trained online to control different nonlinear plants with the same relative degree, with semi-global stability as shown by the simple Lyapunov analysis. Meanwhile, the controller also preserves some of the performance properties of the standard backstepping controllers. Simulation results are shown to demonstrate these properties and to compare the neural controller with a standard backstepping controller.