James H. VanZwieten

According to our database, James H. VanZwieten authored at least 16 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Spatiotemporal Optimization for Vertical Path Planning of an Ocean Current Turbine.

Arezoo Hasankhani, Yufei Tang, James H. VanZwieten, Cornel Sultan

IEEE Trans. Control. Syst. Technol., March, 2023

Reinforcement Learning for Underwater Spatiotemporal Path Planning, with Application to an Autonomous Marine Current Turbine.

Arezoo Hasankhani, Yufei Tang, James H. VanZwieten

Proceedings of the American Control Conference, 2023

2022

Prognostics With Variational Autoencoder by Generative Adversarial Learning.

Yu Huang, Yufei Tang, James H. VanZwieten

IEEE Trans. Ind. Electron., 2022

Reliable machine prognostic health management in the presence of missing data.

Yu Huang, Yufei Tang, James H. VanZwieten, Jianxun Liu

Concurr. Comput. Pract. Exp., 2022

Control Co-Design for Buoyancy-Controlled MHK Turbine: A Nested Optimization of Geometry and Spatial-Temporal Path Planning.

Arezoo Hasankhani, Yufei Tang, Austin Snyder, James H. VanZwieten, Wei Qiao

Proceedings of the IEEE Conference on Control Technology and Applications, 2022

Real-Time Vertical Path Planning Using Model Predictive Control for an Autonomous Marine Current Turbine.

Arezoo Hasankhani, Yufei Tang, Yu Huang, James H. VanZwieten

Proceedings of the IEEE Conference on Control Technology and Applications, 2022

Integrated Path Planning and Tracking Control of Marine Current Turbine in Uncertain Ocean Environments.

Arezoo Hasankhani, Ertugrul Baris Ondes, Yufei Tang, Cornel Sultan, James H. VanZwieten

Proceedings of the American Control Conference, 2022

2021

Physics-Informed Tensor-Train ConvLSTM for Volumetric Velocity Forecasting of the Loop Current.

Yu Huang, Yufei Tang, Hanqi Zhuang, James H. VanZwieten, Laurent M. Chérubin

Frontiers Artif. Intell., 2021

ST-PCNN: Spatio-Temporal Physics-Coupled Neural Networks for Dynamics Forecasting.

Yu Huang, James Li, Min Shi, Hanqi Zhuang, Xingquan Zhu, Laurent M. Chérubin, James H. VanZwieten, Yufei Tang

CoRR, 2021

Comparison of Deep Reinforcement Learning and Model Predictive Control for Real-Time Depth Optimization of a Lifting Surface Controlled Ocean Current Turbine.

Arezoo Hasankhani, Yufei Tang, James H. VanZwieten, Cornel Sultan

Proceedings of the IEEE Conference on Control Technology and Applications, 2021

2020

Physics-informed Tensor-train ConvLSTM for Volumetric Velocity Forecasting.

Yu Huang, Yufei Tang, Hanqi Zhuang, James H. VanZwieten, Laurent M. Chérubin

CoRR, 2020

Adaptive Super-Twisting Sliding Mode Control for Ocean Current Turbine-Driven Permanent Magnet Synchronous Generator.

Yufei Tang, Yuantao Zhang, Arezoo Hasankhani, James H. VanZwieten

Proceedings of the 2020 American Control Conference, 2020

2019

In-Stream Hydrokinetic Turbine Fault Detection and Fault Tolerant Control - A Benchmark Model.

Yufei Tang, James H. VanZwieten, Broc Dunlap, David Wilson, Cornel Sultan, Nikolaos I. Xiros

Proceedings of the 2019 American Control Conference, 2019

2018

Bidirectional Long Short-Term Memory Networks for Rapid Fault Detection in Marine Hydrokinetic Turbines.

David Wilson, Sean Passmore, Yufei Tang, James H. VanZwieten

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

2017

Model predictive control for moored ocean current turbines.

Tri D. Ngo, Cornel Sultan, James H. VanZwieten, Nikolaos I. Xiros

Proceedings of the 2017 American Control Conference, 2017

2016

Variance Constrained cyclic blade control of moored ocean current turbines.

Tri D. Ngo, Cornel Sultan, James H. VanZwieten, Nikolaos I. Xiros

Proceedings of the 2016 American Control Conference, 2016