2020 IEEE Conference on Control Technology and Applications (CCTA)最新文献

Constrained Control of Semilinear Fractional-Order Systems: Application in Drug Delivery Systems 半线性分数阶系统的约束控制:在给药系统中的应用

2020 IEEE Conference on Control Technology and Applications (CCTA) Pub Date : 2020-08-01 DOI: 10.1109/CCTA41146.2020.9206328

B. Yaghooti, M. Hosseinzadeh, B. Sinopoli

引用次数: 7

A receding horizon set-theoretic approach oriented to predictive maintenance of actuators in linear systems 面向线性系统执行器预测性维护的退界集合论方法

2020 IEEE Conference on Control Technology and Applications (CCTA) Pub Date : 2020-08-01 DOI: 10.1109/CCTA41146.2020.9206379

Francesco Saverio Tedesco, W. Akram, A. Casavola, D. Famularo

引用次数: 2

A Laboratory Experiment with a Flexible Surface: Hardware, Software, and Control 柔性曲面的实验室实验:硬件、软件和控制

2020 IEEE Conference on Control Technology and Applications (CCTA) Pub Date : 2020-08-01 DOI: 10.1109/CCTA41146.2020.9206367

Kai Schenk, J. Lunze

引用次数: 0

Modeling, Identification and Control of Photovoltaic/Thermal Solar Panel 光伏/热太阳能板的建模、辨识与控制

2020 IEEE Conference on Control Technology and Applications (CCTA) Pub Date : 2020-08-01 DOI: 10.1109/CCTA41146.2020.9206348

Z. Abdin, A. Rachid

引用次数: 5

Autonomous Human Tracking using UWB sensors for mobile robots: An Observer-Based approach to follow the human path 使用超宽带传感器的移动机器人自主人体跟踪:一种基于观察者的跟踪人类路径的方法

2020 IEEE Conference on Control Technology and Applications (CCTA) Pub Date : 2020-08-01 DOI: 10.1109/CCTA41146.2020.9206153

M. Deremetz, R. Lenain, J. Laneurit, C. Debain, T. Peynot

{"title":"Autonomous Human Tracking using UWB sensors for mobile robots: An Observer-Based approach to follow the human path","authors":"M. Deremetz, R. Lenain, J. Laneurit, C. Debain, T. Peynot","doi":"10.1109/CCTA41146.2020.9206153","DOIUrl":"https://doi.org/10.1109/CCTA41146.2020.9206153","url":null,"abstract":"Assistance robots are rising as a promising solution to help workers in everyday life, for many applications. In particular, many outdoor tasks, such as manual harvesting or carrying heavy loads, may benefit from the use of a mobile robot following a human worker. The literature offers various frameworks and systems for target tracking, using several kinds of sensors and control algorithms. Most of them are based on vision, which is sensitive to lighting conditions, or LIDAR. Both of these sensors require to keep the human in line of sight to be tracked, and have limitations in some challenging environmental conditions encountered outdoors, such as in rough weather or in the presence of airborne dust or fog. Moreover, existing approaches are often focused on direct tracking and may lead the robot to cross the human trajectory. This is penalising when considering off-road assistance, especially in agriculture, where the environment is often narrow (because of crop rows), and require many obstacle avoidance situations. In this paper an algorithm based on Ultra-Wide-Band technology is proposed in order to ensure a relative localisation without the need for a direct view of the target. The method approximates locally the trajectory of the human leader as a circle in order to follow the path achieved by the human, without direct communication nor absolute localization system. This is made possible thanks to the on-line reconstruction of the leader's variables (namely, its velocity and angular course), using a state observer. The effectiveness of this adaptive approach is demonstrated through full-scale experiments.","PeriodicalId":241335,"journal":{"name":"2020 IEEE Conference on Control Technology and Applications (CCTA)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124812877","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

On Analysis of Fractional Order System Identification 分数阶系统辨识的分析

2020 IEEE Conference on Control Technology and Applications (CCTA) Pub Date : 2020-08-01 DOI: 10.1109/CCTA41146.2020.9206369

Ala Tokhmpash, S. Hadipour, B. Shafai

引用次数: 0

Incremental Model-Based Heuristic Dynamic Programming with Output Feedback Applied to Aerospace System Identification and Control 基于增量模型的输出反馈启发式动态规划在航天系统辨识与控制中的应用

2020 IEEE Conference on Control Technology and Applications (CCTA) Pub Date : 2020-08-01 DOI: 10.1109/CCTA41146.2020.9206261

Bo Sun, E. Kampen

{"title":"Incremental Model-Based Heuristic Dynamic Programming with Output Feedback Applied to Aerospace System Identification and Control","authors":"Bo Sun, E. Kampen","doi":"10.1109/CCTA41146.2020.9206261","DOIUrl":"https://doi.org/10.1109/CCTA41146.2020.9206261","url":null,"abstract":"Sufficient information about system dynamics and inner states is often unavailable to aerospace system controllers, which requires model-free and output feedback control techniques, respectively. This paper presents a novel self-learning control algorithm to deal with these two problems by combining the advantages of heuristic dynamic programming and incremental modeling. The system dynamics is completely unknown and only input/output data can be acquired. The controller identifies the local system models and learns control polices online both by tuning the weights of neural networks. The novel method has been applied to a multi-input multi-output nonlinear satellite attitude tracking control problem. The simulation results demonstrate that, compared with the conventional actor-critic-identifier-based heuristic dynamic programming algorithm with three networks, the proposed adaptive control algorithm improves online identification of the nonlinear system with respect to precision and speed of convergence, while maintaining similar performance compared to the full state feedback situation.","PeriodicalId":241335,"journal":{"name":"2020 IEEE Conference on Control Technology and Applications (CCTA)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126119163","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Communication Censoring in Decentralized Fictitious Play for the Target Assignment Problem 分散虚拟游戏中目标分配问题的通信审查

2020 IEEE Conference on Control Technology and Applications (CCTA) Pub Date : 2020-08-01 DOI: 10.1109/CCTA41146.2020.9206256

Sarper Aydın, Ceyhun Eksin

引用次数: 2

Distance-Based Planar Formation Control using Orthogonal Variables 基于距离的正交变量平面编队控制

2020 IEEE Conference on Control Technology and Applications (CCTA) Pub Date : 2020-08-01 DOI: 10.1109/CCTA41146.2020.9206330

Tairan Liu, M. Queiroz, Farid Sahebsara

引用次数: 3

Suborbital Reentry Uncertainty Quantification and Stochastic Optimization 亚轨道再入不确定性量化与随机优化

2020 IEEE Conference on Control Technology and Applications (CCTA) Pub Date : 2020-08-01 DOI: 10.1109/CCTA41146.2020.9206316

Andrew W. Berning, Andrew Kehlenbeck, I. Kolmanovsky, A. Girard

{"title":"Suborbital Reentry Uncertainty Quantification and Stochastic Optimization","authors":"Andrew W. Berning, Andrew Kehlenbeck, I. Kolmanovsky, A. Girard","doi":"10.1109/CCTA41146.2020.9206316","DOIUrl":"https://doi.org/10.1109/CCTA41146.2020.9206316","url":null,"abstract":"Suborbital space launch vehicles are used for atmospheric science, microgravity experiments, and soon, space tourism. However, the uncontrolled reentry of these vehicles into the atmosphere is a potential safety concern to both buildings and humans on the ground as well as the valuable payloads onboard. Implementing active downrange and crossrange control of vehicle reentry is costly, and this paper presents a software-only solution for reducing the probability of a landing zone constraint violation. Through a combination of linear covariance uncertainty quantification and clustering optimization, we solve for a small, finite set of optimal ascent reference trajectories for the launch vehicle to follow during the boost mission phase. Each reference trajectory only differs from the nominal by small crossrange and downrange perturbations, allowing the vehicle to still meet all mission performance objectives. The best reference trajectory may be chosen on the day of flight based on current atmospheric conditions. The result is a landing position probability density function that has been ‘shaped’ to avoid dangerous landing zones, increasing the probability of a successful mission with no physical changes to the space vehicle and only minimal changes to its flight controls software.","PeriodicalId":241335,"journal":{"name":"2020 IEEE Conference on Control Technology and Applications (CCTA)","volume":"169 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117101843","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0