A predefined-time (PT) tracking adaptive control method is studied for non-affine pure-feedback nonlinear systems, with an emphasis on its practical application in robotic exoskeleton technology. A ...
This paper proposes an adaptive output feedback full state constrain (FSC) controller based on the adaptive neural disturbance observer (ANDO) for a nonlinear electro-hydraulic system (NEHS) with ...
Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...
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