Neural network and adaptive control for two-link planar manipulator
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quannv@hcmute.edu.vnKeywords:
Mạng nơron, điều khiển, robot hai bậc tự doAbstract
The intelligent control systems, which are modeled after biological systems and human cognitive capabilities, possess learning, adaptation, and classification capabilities. As a result, these so-called intelligent controllers provide the hope of improved performance for today’s complex systems. These intelligent controllers were being developed using artificial neural networks (NN). In the paper, I explore a controller design using NN for Robotic since NN capture the parallel processing, adaptive, and learning capabilities of biological nervous systems
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References
N e u r a l [ 1 ] . N e t w o r k s . = A l g o r i t h m s , Applications,.And.Programming Techniques
Neural Network-Based Adaptive Controller Design of Robotic Manipulators with an Observer.
EDOC - Robotic - Precision Motion Control Systems 2000.
Motion Control Theory Needed in the Implementation of Practical Robotic Systems.
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