A path planning method based on deep reinforcement learning for AUV in complex marine environment
A Zhang, W Wang, W Bi, Z Huang - Ocean Engineering, 2024 - Elsevier
The potential of autonomous underwater vehicle (AUV) on future applications is significant
due to advancements in autonomy and intelligence. Path planning is a critical technology for …
due to advancements in autonomy and intelligence. Path planning is a critical technology for …
Ensuring Long-Term Trustworthy Collaboration in IoT Networks using Contract Theory and Reputation Mechanism on Blockchain
Internet of Things (IoT) devices operate in an untrusted environment, and blockchain
technology can provide a secure distributed collaboration method. However, the widespread …
technology can provide a secure distributed collaboration method. However, the widespread …
Formation Path Planning for Collaborative Autonomous Underwater Vehicles Based on Consensus-Sparrow Search Algorithm
J Zhang, D Chen, G Han, Y Qian - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Formation path planning of autonomous underwater vehicles (AUVs) entails establishing
optimal collision-free routes over challenging underwater terrain while maintaining state …
optimal collision-free routes over challenging underwater terrain while maintaining state …
AUV path planning in a three-dimensional marine environment based on a novel multiple swarm co-evolutionary algorithm
Z Liu, D Ning, J Hou, F Zhang, G Liang - Applied Soft Computing, 2024 - Elsevier
Autonomous underwater vehicles (AUVs) are rapidly advancing in ocean exploration. High-
performance path planning techniques are essential for AUVs. Path planning for AUVs is a …
performance path planning techniques are essential for AUVs. Path planning for AUVs is a …
[HTML][HTML] Disturbance rejection controller design based on adaptive nonlinear FOPID controller and chaotic WOA with a neuro-fuzzy approximation for URV robot
MW Hasan - e-Prime-Advances in Electrical Engineering …, 2023 - Elsevier
This paper presents an adaptive neuro-fuzzy-based nonlinear fractional order proportional
integral derivative (ANF-NLFOPID) controller to stabilize six degrees of freedom (6-DOF) …
integral derivative (ANF-NLFOPID) controller to stabilize six degrees of freedom (6-DOF) …
A robot path planning method using improved Harris Hawks optimization algorithm
C Li, Q Si, J Zhao, P Qin - Measurement and Control, 2024 - journals.sagepub.com
The traditional Harris Hawks optimization algorithm is prone to the local shortest path, slow
search speed and poor path accuracy in indoor mobile robot path planning. For the above …
search speed and poor path accuracy in indoor mobile robot path planning. For the above …
Innovative differential evolution algorithm with double-layer coding for autonomous underwater vehicles path planning in complex environments
J Fan, L Qu - Ocean Engineering, 2024 - Elsevier
Path planning for autonomous underwater vehicles (AUV) involves determining a safe path
that satisfies multiple constraints while minimizing path length in the complex environment …
that satisfies multiple constraints while minimizing path length in the complex environment …
Three-Dimensional Marine Ranching Cage Inspection Path Planning Integrating the Differential Evolution and Particle Swarm Optimization Algorithms
Y Hu, J Wang, H He, Y Zhang, S Cai, A **e… - IEEE Access, 2023 - ieeexplore.ieee.org
This study addressed the autonomous planning of three-dimensional (3D) underwater
inspection paths for autonomous underwater vehicles (AUVs) in marine ranching by …
inspection paths for autonomous underwater vehicles (AUVs) in marine ranching by …
Long, short, and medium terms wind speed prediction model based on LSTM optimized by improved moth flame optimization algorithm
R Li, J Wang, J Li, M Kou - Environmental Science and Pollution Research, 2024 - Springer
Time series prediction of wind speed has been widely used in wind power generation. The
volatility and instability of wind speed have a large negative impact on wind turbines and …
volatility and instability of wind speed have a large negative impact on wind turbines and …
A hybrid optimization algorithm for multi-agent dynamic planning with guaranteed convergence in probability
Y Zhang, Y Zhu, H Li, J Wang - Neurocomputing, 2024 - Elsevier
The paper aims to solve the problem of multi-agent path planning in complex environment
using optimization algorithm. To address the issue of local optimum and premature …
using optimization algorithm. To address the issue of local optimum and premature …