Click here to flash read.
arXiv:2404.12025v1 Announce Type: new
Abstract: Underwater Unmanned Vehicles (UUVs) have to constantly compensate for the external disturbing forces acting on their body. Adaptive Control theory is commonly used there to grant the control law some flexibility in its response to process variation. Today, learning-based (LB) adaptive methods are leading the field where model-based control structures are combined with deep model-free learning algorithms. This work proposes experiments and metrics to empirically study the stability of such a controller. We perform this stability analysis on a LB adaptive control system whose adaptive parameters are determined using a Cross-Entropy Deep Learning method.
Click here to read this post out
ID: 812426; Unique Viewers: 0
Unique Voters: 0
Total Votes: 0
Votes:
Latest Change: April 19, 2024, 7:31 a.m.
Changes:
Dictionaries:
Words:
Spaces:
Views: 12
CC:
No creative common's license
No creative common's license
Comments: