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Robust Control of Golf Swing Robot using Back-Stepping based on Fuzzy Sliding Mode and Super Twisting Backstepping Sliding Mode Algorithm 基于模糊滑动模式和超扭曲反向步进滑动模式算法的反向步进高尔夫挥杆机器人鲁棒控制
IF 5.3 3区 计算机科学 Q1 Mathematics Pub Date : 2024-01-25 DOI: 10.1142/s2301385025500268
S. Benmansour, Fethi Demim, Ali Zakaria Messaoui
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引用次数: 0
Throughput Performance of Cellular-Connected UAV Coexisting with Terrestrial Users 与地面用户共存的蜂窝连接无人机的吞吐量性能
IF 5.3 3区 计算机科学 Q1 Mathematics Pub Date : 2024-01-19 DOI: 10.1142/s230138502442007x
N. L. Mohd Kamal, Z. Sahwee, N. Norhashim, S. Ahmad Shah, W. Hashim
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引用次数: 0
Learning Hybrid Policies for MPC with Application to Drone Flight in Unknown Dynamic Environments 学习 MPC 的混合策略并将其应用于未知动态环境中的无人机飞行
IF 5.3 3区 计算机科学 Q1 Mathematics Pub Date : 2024-01-18 DOI: 10.1142/s2301385024410206
Zhaohan Feng, Jie Chen, Wei Xiao, Jian Sun, Bin Xin, Gang Wang
In recent years, drones have found increased applications in a wide array of real-world tasks. Model predictive control (MPC) has emerged as a practical method for drone flight control, owing to its robustness against modeling errors/uncertainties and external disturbances. However, MPC's sensitivity to manually tuned parameters can lead to rapid performance degradation when faced with unknown environmental dynamics. This paper addresses the challenge of controlling a drone as it traverses a swinging gate characterized by unknown dynamics. This paper introduces a parameterized MPC approach named hyMPC that leverages high-level decision variables to adapt to uncertain environmental conditions. To derive these decision variables, a novel policy search framework aimed at training a high-level Gaussian policy is presented. Subsequently, we harness the power of neural network policies, trained on data gathered through the repeated execution of the Gaussian policy, to provide real-time decision variables. The effectiveness of hyMPC is validated through numerical simulations, achieving a 100% success rate in 20 drone flight tests traversing a swinging gate, demonstrating its capability to achieve safe and precise flight with limited prior knowledge of environmental dynamics.
近年来,无人机在各种实际任务中的应用越来越多。模型预测控制(MPC)因其对模型误差/不确定性和外部干扰的鲁棒性,已成为无人机飞行控制的实用方法。然而,当面临未知的环境动态时,MPC 对手动调整参数的敏感性会导致性能迅速下降。本文探讨了如何在无人机穿越具有未知动态特性的摆动门时对其进行控制这一难题。本文介绍了一种名为 hyMPC 的参数化 MPC 方法,该方法利用高级决策变量来适应不确定的环境条件。为了得出这些决策变量,本文提出了一个新颖的策略搜索框架,旨在训练高级高斯策略。随后,我们利用神经网络策略的力量,通过重复执行高斯策略所收集的数据进行训练,从而提供实时决策变量。我们通过数值模拟验证了 hyMPC 的有效性,在 20 次无人机穿越摆动门的飞行测试中,成功率达到了 100%,证明了它有能力在事先对环境动态了解有限的情况下实现安全、精确的飞行。
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引用次数: 0
A Word of Thanks, and the Reviewer List for 2023 致谢词和 2023 年审稿人名单
IF 5.3 3区 计算机科学 Q1 Mathematics Pub Date : 2023-12-16 DOI: 10.1142/s2301385024010015
Jie Chen, Ben M. Chen, Lihua Xie
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引用次数: 0
Development and Flight Testing of Guidance, Navigation, Control, and Operator Interface for Shipboard Helicopter Operations 用于舰载直升机操作的制导、导航、控制和操作员界面的开发和飞行测试
IF 5.3 3区 计算机科学 Q1 Mathematics Pub Date : 2023-12-14 DOI: 10.1142/s2301385025500220
Jintasit Pravitra, Eric N. Johnson
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引用次数: 0
Safety-critical Stabilizing Design of Switched Linear Autonomous Systems 开关线性自主系统的安全关键稳定设计
IF 5.3 3区 计算机科学 Q1 Mathematics Pub Date : 2023-12-14 DOI: 10.1142/s2301385024410139
Miaomiao Wang, Zhendong Sun
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引用次数: 0
Distributed Event-Triggered Algorithms for Multi-Objective Resource Allocation Problem 多目标资源分配问题的分布式事件触发算法
IF 5.3 3区 计算机科学 Q1 Mathematics Pub Date : 2023-12-14 DOI: 10.1142/s2301385024410140
Xuesi Zhao, Kunpeng Zhang, Lei Xu, Weinan Gao, Tao Yang
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引用次数: 0
Defense for Advanced Persistent Threat with Inadvertent and Malicious Insider Threats 利用无意和恶意内部威胁防御高级持续性威胁
IF 5.3 3区 计算机科学 Q1 Mathematics Pub Date : 2023-12-14 DOI: 10.1142/s2301385024410152
Ziqin Chen, Guanpu Chen, Yiguang Hong
{"title":"Defense for Advanced Persistent Threat with Inadvertent and Malicious Insider Threats","authors":"Ziqin Chen, Guanpu Chen, Yiguang Hong","doi":"10.1142/s2301385024410152","DOIUrl":"https://doi.org/10.1142/s2301385024410152","url":null,"abstract":"","PeriodicalId":44832,"journal":{"name":"Unmanned Systems","volume":null,"pages":null},"PeriodicalIF":5.3,"publicationDate":"2023-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138972239","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
UAV Trajectory Optimization for Maximum Soaring in Windy Environment 优化无人机轨迹,使其在多风环境中实现最大翱翔
IF 5.3 3区 计算机科学 Q1 Mathematics Pub Date : 2023-12-14 DOI: 10.1142/s2301385025500232
Hassan Haghighi, Daniel Delahaye, J. Moschetta, D. Asadi
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引用次数: 0
A Distributed Optimization Approach for Collaborative Object Lifting Using Multiple Aerial Robots 使用多个空中机器人协作提升物体的分布式优化方法
IF 5.3 3区 计算机科学 Q1 Mathematics Pub Date : 2023-12-08 DOI: 10.1142/s2301385024410127
Jinxin Liu, Chao Sun, Zhi Feng, Renhe Guan, Jindong Chang, Guoqiang Hu
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引用次数: 0
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