Pub Date : 2024-07-24DOI: 10.1142/s2737480724300026
Yunlong Hu, Jia Song, Mian Wu
{"title":"A Review of Control Methods for Tailless Aircraft","authors":"Yunlong Hu, Jia Song, Mian Wu","doi":"10.1142/s2737480724300026","DOIUrl":"https://doi.org/10.1142/s2737480724300026","url":null,"abstract":"","PeriodicalId":509607,"journal":{"name":"Guidance, Navigation and Control","volume":"22 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141807433","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 : 2024-06-07DOI: 10.1142/s2737480724500134
Feiping Nie, Huimin Chen, Heng Huang, Chris H. Q. Ding, Xuelong Li
{"title":"Learning a Subspace and Clustering Simultaneously with Manifold Regularized Nonnegative Matrix Factorization","authors":"Feiping Nie, Huimin Chen, Heng Huang, Chris H. Q. Ding, Xuelong Li","doi":"10.1142/s2737480724500134","DOIUrl":"https://doi.org/10.1142/s2737480724500134","url":null,"abstract":"","PeriodicalId":509607,"journal":{"name":"Guidance, Navigation and Control","volume":" 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141371919","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 : 2024-06-07DOI: 10.1142/s2737480724500122
Fei Han, Longkang Ma, Yanhua Song, Hongli Dong
{"title":"Scalable Distributed State Estimation over Binary Sensor Networks with Energy Harvester","authors":"Fei Han, Longkang Ma, Yanhua Song, Hongli Dong","doi":"10.1142/s2737480724500122","DOIUrl":"https://doi.org/10.1142/s2737480724500122","url":null,"abstract":"","PeriodicalId":509607,"journal":{"name":"Guidance, Navigation and Control","volume":" 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141373300","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 : 2024-04-01DOI: 10.1142/s2737480724500080
Chi Ma, Jiahe Huo, Dianbiao Dong
{"title":"Adaptive neural network finite-time prescribed performance consensus control for a class of second-order multi-agent systems","authors":"Chi Ma, Jiahe Huo, Dianbiao Dong","doi":"10.1142/s2737480724500080","DOIUrl":"https://doi.org/10.1142/s2737480724500080","url":null,"abstract":"","PeriodicalId":509607,"journal":{"name":"Guidance, Navigation and Control","volume":"34 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140356784","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}
{"title":"Suppression of multi-harmonic currents in the high-speed magnetically suspended motor based on adaptive cascaded notch filters with variable phase angle","authors":"Xianzhang Wang, Xiangbo Xu, Shao Chen, Lingbo Zheng, Junfeng Li, Bolun Li","doi":"10.1142/s2737480724500067","DOIUrl":"https://doi.org/10.1142/s2737480724500067","url":null,"abstract":"","PeriodicalId":509607,"journal":{"name":"Guidance, Navigation and Control","volume":"69 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140238195","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 : 2024-03-15DOI: 10.1142/s2737480724500079
Junrui Guo, Xiaoyang Gao, Tieshan Li
{"title":"Adaptive dynamic programming based attitude optimal tracking control for a quadrotor with unmeasured velocities and model uncertainties","authors":"Junrui Guo, Xiaoyang Gao, Tieshan Li","doi":"10.1142/s2737480724500079","DOIUrl":"https://doi.org/10.1142/s2737480724500079","url":null,"abstract":"","PeriodicalId":509607,"journal":{"name":"Guidance, Navigation and Control","volume":"125 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140237839","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}
Accurate dynamics modeling is crucial for the safety and control of fixed-wing aircraft under perturbation (e.g. icing/fault). In this work, we propose a physics-informed Neural Ordinary Differential Equation (PI-NODE)-based scheme for aircraft dynamics modeling under icing/fault. First, icing accumulation and control surface faults are considered and injected into the nominal (clean) aircraft dynamics model. Second, the physics knowledge of aircraft dynamics modeling is divided into kinematics and kinetics. The former is universally applicable and borrows directly from the nominal aircraft. The latter kinetics knowledge, which hinges on external forces and moments, is inaccurate and challenging under icing/fault. To address this issue, we employ Neural ODE to compensate for the residual between the aircraft dynamics under icing/fault and the nominal (clean) condition, resulting in a naturally continuous-time modeling approach. In experiments, we benchmark the proposed PI-NODE against three baseline methods in a dedicated flight scenario. Comparative studies validate the higher accuracy and improve the generalization ability of the proposed PI-NODE for aircraft dynamics modeling under icing/fault.
{"title":"Development and Implementation of Physics-Informed Neural ODE for Dynamics Modeling of a Fixed-Wing Aircraft Under Icing/Fault","authors":"Jinyi Ma, Yiyang Li, Jingqi Tu, Yiming Zhang, J. Ai, Yiqun Dong","doi":"10.1142/s2737480723500243","DOIUrl":"https://doi.org/10.1142/s2737480723500243","url":null,"abstract":"Accurate dynamics modeling is crucial for the safety and control of fixed-wing aircraft under perturbation (e.g. icing/fault). In this work, we propose a physics-informed Neural Ordinary Differential Equation (PI-NODE)-based scheme for aircraft dynamics modeling under icing/fault. First, icing accumulation and control surface faults are considered and injected into the nominal (clean) aircraft dynamics model. Second, the physics knowledge of aircraft dynamics modeling is divided into kinematics and kinetics. The former is universally applicable and borrows directly from the nominal aircraft. The latter kinetics knowledge, which hinges on external forces and moments, is inaccurate and challenging under icing/fault. To address this issue, we employ Neural ODE to compensate for the residual between the aircraft dynamics under icing/fault and the nominal (clean) condition, resulting in a naturally continuous-time modeling approach. In experiments, we benchmark the proposed PI-NODE against three baseline methods in a dedicated flight scenario. Comparative studies validate the higher accuracy and improve the generalization ability of the proposed PI-NODE for aircraft dynamics modeling under icing/fault.","PeriodicalId":509607,"journal":{"name":"Guidance, Navigation and Control","volume":"62 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140252025","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 : 2024-03-08DOI: 10.1142/s2737480724500055
Pengyang Xie, Ben Ma, Bingbing Wang, Jian Chen, Gang Xiao
{"title":"3D Path Planning of the Solar Powered UAV in the Urban-mountainous Environment with Multi-objective and Multi-constraint based on the Enhanced Sparrow Search Algorithm Incorporating the Levy Flight Strategy","authors":"Pengyang Xie, Ben Ma, Bingbing Wang, Jian Chen, Gang Xiao","doi":"10.1142/s2737480724500055","DOIUrl":"https://doi.org/10.1142/s2737480724500055","url":null,"abstract":"","PeriodicalId":509607,"journal":{"name":"Guidance, Navigation and Control","volume":"96 S93","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140257081","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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