Joint Constrained Bayesian Optimization of Planning, Guidance, Control, and State Estimation of an Autonomous Underwater Vehicle-Reference-Cited by-同舟云学术

Joint Constrained Bayesian Optimization of Planning, Guidance, Control, and State Estimation of an Autonomous Underwater Vehicle

Published:2022-07-12 Issue: Volume: Page:
ISSN:
Container-title:2022 European Control Conference (ECC)
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Author:

Stenger David¹,Nitsch Maximilian¹,Abel Dirk¹

Affiliation:

1. Institute of Automatic Control, RWTH Aachen University,Aachen,Germany

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9837955/9837961/09838053.pdf?arnumber=9838053

Reference24 articles.

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3. Towards Auto-tuning of Kalman Filters for Underwater Gliders based on Consistency Metrics

4. The TRIPLE/nanoAUV initiative a technology development initiative to support astrobiological exploration of ocean worlds

5. TRIPLE-nanoAUV: A Guidance, Navigation and Control System for an Au-tonomous Underwater Vehicle to Explore the Oceans of Icy Moons (Poster);nitsch;18th International Planetary Probe Workshop (IPPW) Session Innovative Concepts for Exploration,0

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2. What Is the Best Way to Optimally Parameterize the MPC Cost Function for Vehicle Guidance?;Mathematics;2023-01-15

3. Automated Tuning of Nonlinear Kalman Filters for Optimal Trajectory Tracking Performance of AUVs;IFAC-PapersOnLine;2023

4. Bayesian optimization with unknown constraints in graphical skill models for compliant manipulation tasks using an industrial robot;Frontiers in Robotics and AI;2022-10-14