Expert Systems with Applications: An International Journal
Adaptive CMAC neural control of chaotic systems with a PI-type learning algorithm
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
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
Synchronization of an uncertain Genesio chaotic system via adaptive CMAC
ICS'08 Proceedings of the 12th WSEAS international conference on Systems
FPGA-implemented adaptive RCMAC design for BLDC motors
ICS'08 Proceedings of the 12th WSEAS international conference on Systems
IEEE Transactions on Neural Networks
Wavelet based control for a class of delayed nonlinear systems with input constraints
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Adaptive fuzzy wavelet neural controller design for chaos synchronization
Expert Systems with Applications: An International Journal
Adaptive wavelet neural controller design for a DC-DC power converter using an FPGA chip
WSEAS Transactions on Systems and Control
Indirect adaptive self-organizing RBF neural controller design with a dynamical training approach
Expert Systems with Applications: An International Journal
Adaptive dynamic RBF neural controller design for a class of nonlinear systems
Applied Soft Computing
Expert Systems with Applications: An International Journal
Journal of Control Science and Engineering - Special issue on Dynamic Neural Networks for Model-Free Control and Identification
Adaptive control for nonlinear systems with time-varying control gain
Journal of Control Science and Engineering - Special issue on Adaptive Control Theory and Applications
Adaptive control for nonlinear MIMO time-delay systems based on fuzzy approximation
Information Sciences: an International Journal
Hi-index | 0.01 |
This paper proposes a wavelet adaptive backstepping control (WABC) system for a class of second-order nonlinear systems. The WABC comprises a neural backstepping controller and a robust controller. The neural backstepping controller containing a wavelet neural network (WNN) identifier is the principal controller, and the robust controller is designed to achieve L2 tracking performance with desired attenuation level. Since the WNN uses wavelet functions, its learning capability is superior to the conventional neural network for system identification. Moreover, the adaptation laws of the control system are derived in the sense of Lyapunov function and Barbalat's lemma, thus the system can be guaranteed to be asymptotically stable. The proposed WABC is applied to two nonlinear systems, a chaotic system and a wing-rock motion system to illustrate its effectiveness. Simulation results verify that the proposed WABC can achieve favorable tracking performance by incorporating of WNN identification, adaptive backstepping control, and L2 robust control techniques