Real-Time Vertical Path Planning Using Model Predictive Control for an Autonomous Marine Current Turbine
Author:
Affiliation:
1. Florida Atlantic University,Department of Electrical Engineering and Computer Science,Boca Raton,FL,USA,33431
2. Florida Atlantic University,Department of Civil, Environmental and Geomatics Engineering,Boca Raton,FL,USA,33431
Funder
National Science Foundation
U.S. Department of Energy
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9965973/9965785/09966028.pdf?arnumber=9966028
Reference28 articles.
1. Mapless Motion Planning System for an Autonomous Underwater Vehicle Using Policy Gradient-based Deep Reinforcement Learning
2. Path Planning and Tracking for Vehicle Collision Avoidance Based on Model Predictive Control With Multiconstraints
3. Path planning for autonomous vehicles using model predictive control
4. Trajectory Tracking Control of an Autonomous Underwater Vehicle Using Lyapunov-Based Model Predictive Control
5. Nonlinear Model Predictive Control Applied to an Autonomous Underwater Vehicle
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1. ν-gap metric based multi-model predictive control of an ocean current turbine system with blade pitch failures;Ocean Engineering;2023-06
2. Reinforcement Learning for Underwater Spatiotemporal Path Planning, with Application to an Autonomous Marine Current Turbine;2023 American Control Conference (ACC);2023-05-31
3. Control Co-Design for Buoyancy-Controlled MHK Turbine: A Nested Optimization of Geometry and Spatial-Temporal Path Planning;2022 IEEE Conference on Control Technology and Applications (CCTA);2022-08-23
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