Neural Networks-Based Adaptive State Feedback Control of Robot Manipulators

This paper proposes and adaptive control suitable for motion control of multi-link robot manipulators with structured and unstructured incertainties. In order to design an adaptive robust controller, with the ability to compensate these incertainties, we used neural networks (NN) that have the capability to approximate any nonlinear function over a compact space.