Pub Date : 2023-11-10DOI: 10.1142/s2737480723500218
Bingbing Liu, Hai Yu, Shizhen Wu, Xiao Liang, Yongchun Fang
{"title":"Adaptive Sliding-Mode Disturbance Observer-Based Nonlinear Control for Unmanned Dual-Arm Aerial Manipulator Subject to State Constraints","authors":"Bingbing Liu, Hai Yu, Shizhen Wu, Xiao Liang, Yongchun Fang","doi":"10.1142/s2737480723500218","DOIUrl":"https://doi.org/10.1142/s2737480723500218","url":null,"abstract":"","PeriodicalId":6623,"journal":{"name":"2018 IEEE CSAA Guidance, Navigation and Control Conference (CGNCC)","volume":" February","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135186690","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 : 2023-11-04DOI: 10.1142/s2737480723500188
Junping Qiu, Peng Cheng, Chenxiao Cai
Cloud detection in remote sensing images is a crucial task in various applications, such as meteorological disaster prediction and earth resource exploration, which require accurate cloud identification. This work proposes a cloud detection model based on the Cloud Detection neural Network (CDNet), incorporating a fusion mechanism of channel and spatial attention. Depthwise separable convolution is adopted to achieve a lightweight network model and enhance the efficiency of network training and detection. In addition, the Convolutional Block Attention Module (CBAM) is integrated into the network to train the cloud detection model with attention features in channel and spatial dimensions. Experiments were conducted on Landsat 8 imagery to validate the proposed improved CDNet. Averaged over all testing images, the overall accuracy (OA), mean Pixel Accuracy (mPA), Kappa coefficient and Mean Intersection over Union (MIoU) of improved CDNet were 96.38%, 81.18%, 96.05%, and 84.69%, respectively. Those results were better than the original CDNet and DeeplabV3+. Experiment results show that the improved CDNet is effective and robust for cloud detection in remote sensing images.
{"title":"A Cloud Detection Method for Landsat 8 Satellite Remote Sensing Images Based on Improved CDNet Model","authors":"Junping Qiu, Peng Cheng, Chenxiao Cai","doi":"10.1142/s2737480723500188","DOIUrl":"https://doi.org/10.1142/s2737480723500188","url":null,"abstract":"Cloud detection in remote sensing images is a crucial task in various applications, such as meteorological disaster prediction and earth resource exploration, which require accurate cloud identification. This work proposes a cloud detection model based on the Cloud Detection neural Network (CDNet), incorporating a fusion mechanism of channel and spatial attention. Depthwise separable convolution is adopted to achieve a lightweight network model and enhance the efficiency of network training and detection. In addition, the Convolutional Block Attention Module (CBAM) is integrated into the network to train the cloud detection model with attention features in channel and spatial dimensions. Experiments were conducted on Landsat 8 imagery to validate the proposed improved CDNet. Averaged over all testing images, the overall accuracy (OA), mean Pixel Accuracy (mPA), Kappa coefficient and Mean Intersection over Union (MIoU) of improved CDNet were 96.38%, 81.18%, 96.05%, and 84.69%, respectively. Those results were better than the original CDNet and DeeplabV3+. Experiment results show that the improved CDNet is effective and robust for cloud detection in remote sensing images.","PeriodicalId":6623,"journal":{"name":"2018 IEEE CSAA Guidance, Navigation and Control Conference (CGNCC)","volume":"14 S1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135728302","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 : 2023-11-03DOI: 10.1142/s2737480723500206
Fei Zou, Jie Li, Yifeng Niu
{"title":"Time-coordinated path following for multiple agile fixed-wing UAVs with end-roll expectations","authors":"Fei Zou, Jie Li, Yifeng Niu","doi":"10.1142/s2737480723500206","DOIUrl":"https://doi.org/10.1142/s2737480723500206","url":null,"abstract":"","PeriodicalId":6623,"journal":{"name":"2018 IEEE CSAA Guidance, Navigation and Control Conference (CGNCC)","volume":"91 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135869171","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 : 2023-10-13DOI: 10.1142/s2737480723500176
Bingyun Yang, Cong Peng, Fei Jiang, Sumu Shi
Active magnetically suspended control moment gyro is a novel attitude control actuator for satellites. It is mainly composed of rotor, active magnetic bearing (AMB) and motor. As a crucial supporting component of control moment gyro, the performance of AMB is directly related to the stability of the rotor system and pointing precision of the satellites. Therefore, calibrating the parameters of AMB is essential for the realization of super-quiet satellites. This paper proposed a model calibration method, known as the deep reinforcement learning-based model calibration frame (DRLMC). First, the dynamics of magnetic bearing with damage degradation over its life cycle are modeled. Subsequently, the calibration process is formulated as a Markov Decision Process (MDP), and reinforcement learning (RL) is employed to infer the degradation parameters. In addition, experience replay and target network update mechanism are introduced to guarantee stability. Simulation results demonstrate that the proposed method identifies force-current factor of AMB during its degradation process effectively. Furthermore, additional experiments confirm the robustness of the DRLMC approach.
{"title":"A Novel Model Calibration Method for Active Magnetic Bearing Based on Deep Reinforcement Learning","authors":"Bingyun Yang, Cong Peng, Fei Jiang, Sumu Shi","doi":"10.1142/s2737480723500176","DOIUrl":"https://doi.org/10.1142/s2737480723500176","url":null,"abstract":"Active magnetically suspended control moment gyro is a novel attitude control actuator for satellites. It is mainly composed of rotor, active magnetic bearing (AMB) and motor. As a crucial supporting component of control moment gyro, the performance of AMB is directly related to the stability of the rotor system and pointing precision of the satellites. Therefore, calibrating the parameters of AMB is essential for the realization of super-quiet satellites. This paper proposed a model calibration method, known as the deep reinforcement learning-based model calibration frame (DRLMC). First, the dynamics of magnetic bearing with damage degradation over its life cycle are modeled. Subsequently, the calibration process is formulated as a Markov Decision Process (MDP), and reinforcement learning (RL) is employed to infer the degradation parameters. In addition, experience replay and target network update mechanism are introduced to guarantee stability. Simulation results demonstrate that the proposed method identifies force-current factor of AMB during its degradation process effectively. Furthermore, additional experiments confirm the robustness of the DRLMC approach.","PeriodicalId":6623,"journal":{"name":"2018 IEEE CSAA Guidance, Navigation and Control Conference (CGNCC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135804724","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 : 2023-09-22DOI: 10.1142/s273748072350019x
Zhewen Xing, Youmin Zhang, Chun-Yi Su
{"title":"Wind and Actuator Fault Estimation for a Quadrotor UAV Based on Two-Stage Particle Filter","authors":"Zhewen Xing, Youmin Zhang, Chun-Yi Su","doi":"10.1142/s273748072350019x","DOIUrl":"https://doi.org/10.1142/s273748072350019x","url":null,"abstract":"","PeriodicalId":6623,"journal":{"name":"2018 IEEE CSAA Guidance, Navigation and Control Conference (CGNCC)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136099253","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 : 2023-09-01DOI: 10.1142/s2737480723500140
Siyuan Wang, Sandeep Kumar Soni, G. Zheng, D. Boutat
{"title":"Application-oriented Homogeneous control protocol Design for Multi-Agent Systems under Input Constraints","authors":"Siyuan Wang, Sandeep Kumar Soni, G. Zheng, D. Boutat","doi":"10.1142/s2737480723500140","DOIUrl":"https://doi.org/10.1142/s2737480723500140","url":null,"abstract":"","PeriodicalId":6623,"journal":{"name":"2018 IEEE CSAA Guidance, Navigation and Control Conference (CGNCC)","volume":"3 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89700254","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 : 2023-09-01DOI: 10.1142/s2737480723500164
Bowen Su, Fan Zhang, Panfeng Huang
{"title":"Proportional-derivative Control of Second-order Tethered Satellites System based on Extended State Observer and Feed-forward Compensation","authors":"Bowen Su, Fan Zhang, Panfeng Huang","doi":"10.1142/s2737480723500164","DOIUrl":"https://doi.org/10.1142/s2737480723500164","url":null,"abstract":"","PeriodicalId":6623,"journal":{"name":"2018 IEEE CSAA Guidance, Navigation and Control Conference (CGNCC)","volume":"18 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77687292","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 : 2023-07-04DOI: 10.1142/s2737480723500139
Weimin Bao, Zhenqiang Qi
{"title":"Challenges and Perspectives of Information and Control Technology for Cislunar Space Exploration and Development","authors":"Weimin Bao, Zhenqiang Qi","doi":"10.1142/s2737480723500139","DOIUrl":"https://doi.org/10.1142/s2737480723500139","url":null,"abstract":"","PeriodicalId":6623,"journal":{"name":"2018 IEEE CSAA Guidance, Navigation and Control Conference (CGNCC)","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76032833","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":"Maritime Target Saliency Detection for UAV Based on the Stimulation Competition Selection Mechanism of Raptor Vision","authors":"Xiaobin Xu, Yongbin Sun, Haibin Duan, Yimin Deng, Zhigang Zeng","doi":"10.1142/s2737480723500127","DOIUrl":"https://doi.org/10.1142/s2737480723500127","url":null,"abstract":"","PeriodicalId":6623,"journal":{"name":"2018 IEEE CSAA Guidance, Navigation and Control Conference (CGNCC)","volume":"23 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73713974","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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