Intelligent adaptive control for MIMO uncertain nonlinear systems
Expert Systems with Applications: An International Journal
B-Spline Output Feedback Control for Nonlinear Systems
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part II
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
An observer-based neural networks control scheme for nonlinear systems
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
Adaptive tracking control of uncertain MIMO nonlinear systems with input constraints
Automatica (Journal of IFAC)
| Hi-index | 0.01 |
This correspondence addresses the problem of designing robust tracking control for a class of uncertain nonlinear MIMO second-order systems. An adaptive neural-network-based output feedback tracking controller is constructed such that all the states and signals involved are uniformly bounded and the tracking error is uniformly ultimately bounded. Only the output measurement is required for feedback. The implementation of the neural network basis functions depends only on the desired reference trajectory. Therefore, the intelligent adaptive output feedback controller developed here possesses the properties of computational simplicity and easy implementation. A simulation example of controlling mass-spring-damper mechanical systems is made to confirm the effectiveness and performance of the developed control scheme.