5 papers
Adaptive Lyapunov-constrained MPC for fault-tolerant AUV trajectory tracking
Haolin Liu, Shiliang Zhang, Xiaohui Zhang +6
Autonomous underwater vehicles (AUVs) are subject to various sources of faults during their missions, which challenges AUV control and operation in real environments. This paper ad…
Exploring the Generalizability of Geomagnetic Navigation: A Deep Reinforcement Learning approach with Policy Distillation
Wenqi Bai, Shiliang Zhang, Xiaohui Zhang +4
The advancement in autonomous vehicles has empowered navigation and exploration in unknown environments. Geomagnetic navigation for autonomous vehicles has drawn increasing attenti…
Geomagnetic and Inertial Combined Navigation Approach Based on Flexible Correction-Model Predictive Control Algorithm
Xiaohui Zhang, Xingming Li, Songnan Yang +2
This paper proposes a geomagnetic and inertial combined navigation approach based on the flexible correction-model predictive control algorithm (Fc-MPC). This approach aims to over…
Long-distance Geomagnetic Navigation in GNSS-denied Environments with Deep Reinforcement Learning
Wenqi Bai, Xiaohui Zhang, Shiliang Zhang +3
Geomagnetic navigation has drawn increasing attention with its capacity in navigating through complex environments and its independence from external navigation services like globa…
A Bionic Data-driven Approach for Long-distance Underwater Navigation with Anomaly Resistance
Songnan Yang, Xiaohui Zhang, Shiliang Zhang +4
Various animals exhibit accurate navigation using environment cues. The Earth's magnetic field has been proved a reliable information source in long-distance fauna migration. Inspi…