Experimental comparative studies on neural network controllers for DC-motor micromaneuvering

Engineering

• Neural Network Controller 100%
• Friction Model 100%
• Dc Motor 100%
• Feedforward 50%
• Input Vector 50%
• Square Error 50%
• Linear Velocity 50%
• Feedback Term 50%
• Gradient Descent 50%
• Time History 50%

Keyphrases

• Model-based Neural Network 100%
• Generic Structure 33%
• Control Map 33%
• Performance Attributes 33%
• Weight Convergence 33%
• Sign Gradient Descent 33%