CMAC neural network method with application to kinematics control of a redundant manipulator

Keyphrases

• Computational Effort 25%
• Fault-tolerant 25%
• Function Approximation 25%
• Inverse Kinematic Problem 50%
• Jacobian 25%
• Kinematic Control 100%
• Manipulator 25%
• Neural Network 75%
• Neural Network Method 100%
• Nonlinear Function Approximation 25%
• Pseudo-inverse 25%
• Real-time Control 50%
• Recurrent Cerebellar Model Articulation Controller (RCMAC) 100%
• Redundancy 25%
• Redundant Manipulator 100%
• Robot Control 25%
• Robotic Control 25%

Computer Science

• Approximation Problem 25%
• Cerebellar Model 100%
• Computational Effort 25%
• Computer Simulation 25%
• Conventional Method 25%
• Fault Tolerant 25%
• Function Approximation 25%
• Inverse Kinematics Problem 50%
• Jacobian matrix 25%
• Manipulator 100%
• Neural Network 100%
• Nonlinear Function 25%
• Robot 25%

Engineering

• Computational Effort 33%
• Conventional Method 33%
• Inverse Kinematics Problem 66%
• Jacobian 33%
• Link Manipulator 33%
• Neural Network Controller 100%
• Nonlinear Function 33%
• Redundant Manipulator 100%
• Robot 33%