Greedy dynamic reward algorithm-based coverage path planning for unmanned sailboats in non-stationary wind environments DOI Creative Commons

Jinkun Shen,

Zhongben Zhu, Guiqiang Bai

et al.

Applied Ocean Research, Journal Year: 2024, Volume and Issue: 154, P. 104382 - 104382

Published: Dec. 17, 2024

Language: Английский

Research On Spherical Multi-Point Path Optimization Based on Simulated Annealing and Ant Colony Algorithms DOI
Wenjun Ren, Jiarong Li,

Lifei Kang

et al.

Highlights in Science Engineering and Technology, Journal Year: 2025, Volume and Issue: 142, P. 451 - 457

Published: May 18, 2025

In practical application scenarios such as logistics distribution and UAV cruise, the spherical multi-point path optimization problem has significant research value significance. This focuses on solving problem. The study first establishes a distance calculation model, deriving formula between any two points using geometric principles. Taking eight specific objects, is transformed into graph theory problem, single-objective linear programming model constructed. employs Simulated Annealing Algorithm Ant Colony for comparative analysis. Through parameter optimization, achieved shortest length of 7.0381 kilometers. comparison, obtained an optimal (44-61-158-83-147-100-31-115) with 4.0635 kilometers total time 390.2 minutes, showing 2.2% improvement in efficiency compared to Algorithm. results demonstrate that exhibits better performance stability this

Language: Английский

Citations

0
Chattering-free Adaptive Iterative Learning Control for Linear-Motor-Driven Gantry Stage With Initial State Errors DOI Creative Commons
Chaohai Yu, Jie Ma, Jue Wang

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: June 20, 2024

Abstract This paper aims to investigate a chattering-free adaptive iterative learning strategy for trajectory tracking tasks on linear-motor-driven-gantry-stages with initial state errors. The reduction mechanism of the proposed parameter law effectively addresses errors, unmodeled system dynamics, and external disturbances during process. Furthermore, mitigate oscillation issues caused by traditional control signals, this adopts approximation sign function. However, introduces non-negative definite problems. Therefore, novel analysis method based contraction mapping composite energy functions in Lyapunov-like theory. rigorously proves boundedness convergence entire iteration under problems effectiveness approach is validated through experiments linear motor platform.

Language: Английский

Citations

0
Chattering-free adaptive iterative learning control for linear-motor-driven gantry stage with initial state errors DOI
Chaohai Yu, Jie Ma, Jue Wang

et al.

Signal Image and Video Processing, Journal Year: 2024, Volume and Issue: 18(12), P. 8659 - 8673

Published: Aug. 16, 2024

Language: Английский

Citations

0
Detection of soluble solids content in tomatoes using full transmission Vis-NIR spectroscopy and combinatorial algorithms DOI Creative Commons

Letian Cai,

Yizhi Zhang,

Zhonglei Cai

et al.

Frontiers in Plant Science, Journal Year: 2024, Volume and Issue: 15

Published: Nov. 11, 2024

Soluble solids content (SSC) is an important indicator for evaluating tomato flavor, and general physical chemical methods are time-consuming destructive.

Language: Английский

Citations

0
Greedy dynamic reward algorithm-based coverage path planning for unmanned sailboats in non-stationary wind environments DOI Creative Commons

Jinkun Shen,

Zhongben Zhu, Guiqiang Bai

et al.

Applied Ocean Research, Journal Year: 2024, Volume and Issue: 154, P. 104382 - 104382

Published: Dec. 17, 2024

Language: Английский

Citations

0