Reinforcement learning particle swarm optimization based trajectory planning of autonomous ground vehicle using 2D LiDAR point cloud
The advent of autonomous mobile robots has spurred research into efficient trajectory
planning methods, particularly in dynamic environments with varied obstacles. This study …
planning methods, particularly in dynamic environments with varied obstacles. This study …
[PDF][PDF] Spacecraft formation reconfiguration trajectory planning with avoidance constraints using adaptive pigeon-inspired optimization
B Hua, Y Huang, Y Wu, Z Chen… - Science China …, 2019 - scis.scichina.com
Dear editor, The autonomous formation flight of satellite clusters has been identified as a
beneficial technology for many future space missions [1, 2]. The research on spacecraft …
beneficial technology for many future space missions [1, 2]. The research on spacecraft …
Neural network-based hardware-in-the-loop implementation of fourier series parametrized control profiles for re-entry vehicles
D Mishra, G Sushnigdha - Advances in Space Research, 2024 - Elsevier
This paper introduces an innovative approach for generating re-entry trajectories for a
reusable winged spacecraft. This approach utilizes Fourier series parametrized control …
reusable winged spacecraft. This approach utilizes Fourier series parametrized control …
Theoretical analysis of the convergence property of a basic pigeon-inspired optimizer in a continuous search space
Y Zhang, H Huang, H Wu, Z Hao - Science China Information Sciences, 2019 - Springer
The pigeon-inspired optimization (PIO) algorithm is a newly presented swarm intelligence
optimization algorithm inspired by the homing behavior of pigeons. Although PIO has …
optimization algorithm inspired by the homing behavior of pigeons. Although PIO has …
基于高速飞行器火力控制模型的智能解算方法
杨犇， 金飞腾， 刘燕斌， 陈柏屹， 彭寿勇 - 北京航空航天大学学报, 2023 - bhxb.buaa.edu.cn
研究吸气式高速飞行器的火力控制解算问题, 针对高速飞行器较传统的亚音速与超音速飞行器
系统响应时间短, 飞行环境复杂, 对火力控制模型解算要求度高等难点, 提出了一种高速飞行器 …
系统响应时间短, 飞行环境复杂, 对火力控制模型解算要求度高等难点, 提出了一种高速飞行器 …
Multi-objective suborbit/orbit trajectory optimisation for spaceplanes
In this paper, a suborbit to orbit mission profile is analysed for spaceplanes. The proposed
mission profile for spaceplanes is currently being considered for multiple earth observation …
mission profile for spaceplanes is currently being considered for multiple earth observation …
Reentry Flight Capability Assessment Based on Dynamics–Informed Neural Network and Piecewise Guidance
K Liu, J Zhang, X Guo - Aerospace, 2022 - mdpi.com
To improve the flexibility of the trajectory and the diversity of the drop point of the reentry
vehicle, a flight capability assessment method based on a dynamics–informed neural …
vehicle, a flight capability assessment method based on a dynamics–informed neural …
Aerothermodynamic design optimization of planetary vehicle
The present work deals with the design optimization of different vehicle configurations for
planetary entry. Choosing the aerothermodynamic characteristics of heat flux and drag as …
planetary entry. Choosing the aerothermodynamic characteristics of heat flux and drag as …
Runtime analysis of pigeon-inspired optimizer based on average gain model
Z Yushan, H Han, H Zhifeng… - 2019 IEEE Congress on …, 2019 - ieeexplore.ieee.org
The pigeon-inspired optimization (PIO) algorithm is a novel swarm intelligence optimizer
inspired by the homing behaviors of pigeons. Although PIO has demonstrated effectiveness …
inspired by the homing behaviors of pigeons. Although PIO has demonstrated effectiveness …
Intelligent solution method based on high-speed aircraft fire control model
B YANG, F JIN, Y LIU, B CHEN, S PENG - 北京航空航天大学学报, 2023 - bhxb.buaa.edu.cn
This paper studies the fire control calculation problem of air-breathing high-speed aircraft.
High-speed aircraft has higher requirements for the fire control model calculation, a more …
High-speed aircraft has higher requirements for the fire control model calculation, a more …