Expert Systems with Applications: An International Journal
Asymptotic Adaptive Neural Network Tracking Control of Nonholonomic Mobile Robot Formations
Journal of Intelligent and Robotic Systems
Neural network control of mobile robot formations using RISE feedback
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Adaptive control for mobile robot using wavelet networks
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Backstepping wavelet neural network control for indirect field-oriented induction motor drive
IEEE Transactions on Neural Networks
A new class of wavelet networks for nonlinear system identification
IEEE Transactions on Neural Networks
Wavelet Adaptive Backstepping Control for a Class of Nonlinear Systems
IEEE Transactions on Neural Networks
Accuracy analysis for wavelet approximations
IEEE Transactions on Neural Networks
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We address the problem of environmental contour line tracking for a class of autonomous vehicles. A reference velocity is designed for the autonomous vehicles to do contour line tracking. Based on Lashall invariance principle, an ideal controller is designed for the vehicle with ideal model and ideal information about the environmental concentration function to track the desired contour line. For the vehicle with possibly modeling uncertainty, we combine a neural controller containing a wavelet neural network (WNN) identifier with a robust control to construct a robust adaptive WNN control for the vehicle to track the desired environmental contour line. Then we give theoretical proof of the efficiency of the designed robust adaptive WNN control. Simulation results and conclusion are presented and discussed.