Pub Date : 2022-06-24DOI: 10.1142/s2301385023500115
Debolina Nath, Anjan Bandyopadhyay, Ankit Rana, T. Gaber, A. Hassanien
{"title":"A Novel Drone-Station Matching model in Smart Cities based on Strict Preferences","authors":"Debolina Nath, Anjan Bandyopadhyay, Ankit Rana, T. Gaber, A. Hassanien","doi":"10.1142/s2301385023500115","DOIUrl":"https://doi.org/10.1142/s2301385023500115","url":null,"abstract":"","PeriodicalId":164619,"journal":{"name":"Unmanned Syst.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115869026","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}
Pub Date : 2022-06-17DOI: 10.1142/s2301385023500103
Toufik Souanef
{"title":"ℒ1 Adaptive Output Feedback Control of Small Unmanned Aerial Vehicles","authors":"Toufik Souanef","doi":"10.1142/s2301385023500103","DOIUrl":"https://doi.org/10.1142/s2301385023500103","url":null,"abstract":"","PeriodicalId":164619,"journal":{"name":"Unmanned Syst.","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116329625","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}
Pub Date : 2022-06-17DOI: 10.1142/s2301385023410029
Zihao Gong, Yang Xu, D. Luo
Focusing on the problem of multi-UAV cooperative air combat decision-making, a multi-UAV cooperative maneuvering decision-making approach is proposed based on multi-agent deep reinforcement learning (MARL) theory. First, the multi-UAV cooperative short-range air combat environment is established. Then, by combining the value-decomposition networks (VDNs) deep reinforcement learning theory with the embedded expert collaborative air combat experience reward function, an air combat cooperative strategy framework is proposed based on the networked decentralized partially observable Markov decision process (NDec-POMDP). The air combat maneuvering strategy is then optimized to improve the cooperative degree between UAVs in cooperative combat scenarios. Finally, multi-UAV cooperative air combat simulations are carried out and the results show the feasibility and effectiveness of the proposed cooperative air combat decision-making framework and method.
{"title":"UAV Cooperative Air Combat Maneuvering Confrontation Based on Multi-agent Reinforcement Learning","authors":"Zihao Gong, Yang Xu, D. Luo","doi":"10.1142/s2301385023410029","DOIUrl":"https://doi.org/10.1142/s2301385023410029","url":null,"abstract":"Focusing on the problem of multi-UAV cooperative air combat decision-making, a multi-UAV cooperative maneuvering decision-making approach is proposed based on multi-agent deep reinforcement learning (MARL) theory. First, the multi-UAV cooperative short-range air combat environment is established. Then, by combining the value-decomposition networks (VDNs) deep reinforcement learning theory with the embedded expert collaborative air combat experience reward function, an air combat cooperative strategy framework is proposed based on the networked decentralized partially observable Markov decision process (NDec-POMDP). The air combat maneuvering strategy is then optimized to improve the cooperative degree between UAVs in cooperative combat scenarios. Finally, multi-UAV cooperative air combat simulations are carried out and the results show the feasibility and effectiveness of the proposed cooperative air combat decision-making framework and method.","PeriodicalId":164619,"journal":{"name":"Unmanned Syst.","volume":"300 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131535891","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}
Pub Date : 2022-06-15DOI: 10.1142/s2301385022410059
Guillermo N. González, G. D. Croon, D. Olejnik, M. Karásek
This paper proposes an integral approach for accurate ultra-wideband indoor position control of flapping-wing micro-air vehicles. Three aspects are considered to achieve a reliable and accurate position controller. The first aspect is a velocity/attitude flapping-wing model for drag compensation. The model is compared with real flight data and shown to be applicable for more than one type of flapping-wing drone. The second improvement regards a voltage-dependent thrust control. Lastly, a characterisation of ground effects in flapping-wing flight is obtained from hovering experiments. The proposed controller improves position control by a factor [Formula: see text], reaching a mean absolute error of 10[Formula: see text]cm for the position in [Formula: see text] and [Formula: see text], and 4.9[Formula: see text]cm for the position in [Formula: see text].
{"title":"Position Controller for a Flapping-Wing Drone Using UWB","authors":"Guillermo N. González, G. D. Croon, D. Olejnik, M. Karásek","doi":"10.1142/s2301385022410059","DOIUrl":"https://doi.org/10.1142/s2301385022410059","url":null,"abstract":"This paper proposes an integral approach for accurate ultra-wideband indoor position control of flapping-wing micro-air vehicles. Three aspects are considered to achieve a reliable and accurate position controller. The first aspect is a velocity/attitude flapping-wing model for drag compensation. The model is compared with real flight data and shown to be applicable for more than one type of flapping-wing drone. The second improvement regards a voltage-dependent thrust control. Lastly, a characterisation of ground effects in flapping-wing flight is obtained from hovering experiments. The proposed controller improves position control by a factor [Formula: see text], reaching a mean absolute error of 10[Formula: see text]cm for the position in [Formula: see text] and [Formula: see text], and 4.9[Formula: see text]cm for the position in [Formula: see text].","PeriodicalId":164619,"journal":{"name":"Unmanned Syst.","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131924561","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}
Pub Date : 2022-06-04DOI: 10.1142/s2301385023410066
Bobo Ye, Jie Li, Juan Li, Chang Liu, Jichu Li, Yachao Yang
{"title":"Deep Reinforcement Learning-Based Diving/Pull-out Control for Bioinspired Morphing UAVs","authors":"Bobo Ye, Jie Li, Juan Li, Chang Liu, Jichu Li, Yachao Yang","doi":"10.1142/s2301385023410066","DOIUrl":"https://doi.org/10.1142/s2301385023410066","url":null,"abstract":"","PeriodicalId":164619,"journal":{"name":"Unmanned Syst.","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121083808","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}
Pub Date : 2022-06-04DOI: 10.1142/s2301385023500097
Bishoy E. Wissa, Shady G. Hermina, A. El-Badawy
{"title":"Control of a Flapping Wing Aerial Vehicle in the Presence of Matched and Mismatched Disturbances","authors":"Bishoy E. Wissa, Shady G. Hermina, A. El-Badawy","doi":"10.1142/s2301385023500097","DOIUrl":"https://doi.org/10.1142/s2301385023500097","url":null,"abstract":"","PeriodicalId":164619,"journal":{"name":"Unmanned Syst.","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130296091","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}
Pub Date : 2022-06-02DOI: 10.1142/s2301385022020010
J. Martínez-Carranza
{"title":"Editorial for Special Issue on Selected Papers from IMAV 2021","authors":"J. Martínez-Carranza","doi":"10.1142/s2301385022020010","DOIUrl":"https://doi.org/10.1142/s2301385022020010","url":null,"abstract":"","PeriodicalId":164619,"journal":{"name":"Unmanned Syst.","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125500937","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}
Pub Date : 2022-04-30DOI: 10.1142/s2301385022410047
M. Gossye, S. Hwang, B. Remes
Applications of Unmanned Aerial Vehicles (UAVs) are often limited by flight endurance. To address the limitation of endurance, we propose a regenerative soaring method in this paper. The atmospheric energy from updraft generated by obstacles such as hills and ships can be harvested by UAVs using a regenerative electric drivetrain. With fixed-wing aircraft, the vehicle can hover with specific wind condition, and the battery can be recharged in the air while wind hovering. In order to research the feasibility of this regenerative soaring method, we present a model to estimate hovering locations and the amount of extractable power using the proposed method. The resulting modular regeneration simulation tool can efficiently determine the possible hovering locations and provide an estimate of the power regeneration potential for each hovering location, given the UAVs aerodynamic characteristics and wind-field conditions.
{"title":"Developing a Modular Tool to Simulate Regeneration Power Potential Using Orographic Wind-hovering UAVs","authors":"M. Gossye, S. Hwang, B. Remes","doi":"10.1142/s2301385022410047","DOIUrl":"https://doi.org/10.1142/s2301385022410047","url":null,"abstract":"Applications of Unmanned Aerial Vehicles (UAVs) are often limited by flight endurance. To address the limitation of endurance, we propose a regenerative soaring method in this paper. The atmospheric energy from updraft generated by obstacles such as hills and ships can be harvested by UAVs using a regenerative electric drivetrain. With fixed-wing aircraft, the vehicle can hover with specific wind condition, and the battery can be recharged in the air while wind hovering. In order to research the feasibility of this regenerative soaring method, we present a model to estimate hovering locations and the amount of extractable power using the proposed method. The resulting modular regeneration simulation tool can efficiently determine the possible hovering locations and provide an estimate of the power regeneration potential for each hovering location, given the UAVs aerodynamic characteristics and wind-field conditions.","PeriodicalId":164619,"journal":{"name":"Unmanned Syst.","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128123614","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}
Pub Date : 2022-04-25DOI: 10.1142/s2301385023500061
Tony X. Lin, S. Coogan, D. Lofaro, D. Sofge, Fumin Zhang
{"title":"Monocular Vision-Based Localization and Pose Estimation with a Nudged Particle Filter and Ellipsoidal Confidence Tubes","authors":"Tony X. Lin, S. Coogan, D. Lofaro, D. Sofge, Fumin Zhang","doi":"10.1142/s2301385023500061","DOIUrl":"https://doi.org/10.1142/s2301385023500061","url":null,"abstract":"","PeriodicalId":164619,"journal":{"name":"Unmanned Syst.","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128826671","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}
Pub Date : 2022-04-25DOI: 10.1142/s2301385023410017
Jianan Wang, Xiangjun Ding, Chunyan Wang, Zongyu Zuo, Z. Ding
{"title":"Affine Formation Control of General Linear Multi-Agent Systems with Delays","authors":"Jianan Wang, Xiangjun Ding, Chunyan Wang, Zongyu Zuo, Z. Ding","doi":"10.1142/s2301385023410017","DOIUrl":"https://doi.org/10.1142/s2301385023410017","url":null,"abstract":"","PeriodicalId":164619,"journal":{"name":"Unmanned Syst.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130586751","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}
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