Shilong Chen - IEEE Xplore Author Profile

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Author details

Shilong Chen

Publications

4

Citations

0

Publications by Year

20182024

Co-Authors:

Qiushi CuiAng JiaoJian LiHongjing LiCong Li

Show All Co-Authors (17)

Shilong Chen

Affiliation

Faculty of Electric Power Engineering

Kunming University of Science and Technology

Kunming, China

Publication Topics

Agile Satellite,
Airborne Synthetic Aperture Radar,
Airborne Systems,
Angle Constraints,
Angle Interval,
Antenna Unit,
Chinese Academy Of Sciences,
Clique Cover,
Clustering Task,
Conversion Scheme,
Convolutional Neural Network,
Convolutional Neural Network Model

Biography

Shilong Chen received the Ph.D. degree from Kunming University of Science and Technology, Kunming, China, in 2012. He is currently a Professor and a Master’s Supervisor with the Faculty of Electric Power Engineering, Kunming University of Science and Technology. He has presided over three projects funded by the National Natural Science Foundation of China. His main research interests include HVDC transmission and new relay protection for power systems.(Based on document published on 10 October 2024).

Publications

4

Citations

0

Publications by Year

20182024

Co-Authors:

Qiushi Cui
Ang Jiao
Jian Li
Hongjing Li
Cong Li

Show All Co-Authors (17)

Author's Published Works

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Showing 1-9 of 9 results

Journals (5)

Conferences (3)

Early Access Articles (1)

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Han Shen(9)
Guanghui Wen(6)
Yuezu Lv(5)
Jun Zhou(3)
Jialing Zhou(2)
School of Cyber Science and Engineering, Southeast University, Nanjing, China(6)
Advanced Research Institute of Multidisciplinary Sciences, Beijing Institute of Technology, Beijing, China(5)
Department of Systems Science, School of Mathematics, Southeast University, Nanjing, China(4)
Department of Electrical Engineering, City University of Hong Kong, Hong Kong(1)
Beijing Institute of Technology, Zhuhai, China(1)
IEEE Transactions on Industrial Informatics(3)
2022 34th Chinese Control and Decision Conference (CCDC)(1)
2022 4th International Conference on Data-driven Optimization of Complex Systems (DOCS)(1)
2024 14th Asian Control Conference (ASCC)(1)
IEEE Transactions on Aerospace and Electronic Systems(1)
IEEE(9)
Chengdu, China(1)
Dalian, China(1)
Hefei, China(1)
Autonomous Surface Vehicles(6)
Kalman Filter(5)
Parameter Estimates(4)
Time Step(4)
Unscented Kalman Filter(4)

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Distributed Leader Escort Control for Multiple Autonomous Surface Vessels: Utilizing Signed Graph to Model Interaction Relationships

Guanghui Wen;Xiao Fang;Han Shen;Jialing Zhou;Dezhi Zheng

IEEE/ASME Transactions on Mechatronics

Year: 2024 | Early Access Article |

This article addresses the distributed leader escort control problem for multiple autonomous surface vessels (multi-ASVs) by adopting a signed graph-based modeling approach to represent interaction relationships among the ASVs. Within this framework, the ASVs are classified into two groups, with the control objective of forming time-varying formations on either side of the dynamic leader while mai...Show More

Distributed Leader Escort Control for Multiple Autonomous Surface Vessels: Utilizing Signed Graph to Model Interaction Relationships

Guanghui Wen;Xiao Fang;Han Shen;Jialing Zhou;Dezhi Zheng

IEEE/ASME Transactions on Mechatronics

Year: 2024 | Early Access Article |

Accelerating Multi-agent Path Finding Based on Roadmap Construction in Non-grid Environment

Zhenyu Yao;Han Shen;Yan Xu;Yu Chen;Jing Nie

2024 14th Asian Control Conference (ASCC)

Year: 2024 | Conference Paper |

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Conflict-based search (CBS) is one of the widely used algorithms to solve multi-agent path finding (MAPF) problems. Though it combines optimality and completeness as a search algorithm, the time it takes to search for a solution grows exponentially as the number of agents gradually increases, and thus does not scale well. In this paper, a learning-based graph transformer is utilized as the heurist...Show More

Accelerating Multi-agent Path Finding Based on Roadmap Construction in Non-grid Environment

Zhenyu Yao;Han Shen;Yan Xu;Yu Chen;Jing Nie

2024 14th Asian Control Conference (ASCC)

Year: 2024 | Conference Paper |

Distributed Time-Varying Nash Equilibrium Seeking Algorithm for Target Protection of MultiUSVs With Conflicting Goals

Xingyun Dai;Guanghui Wen;Xiao Fang;Han Shen

IEEE Transactions on Industrial Informatics

Year: 2024 | Volume: 20, Issue: 6 | Journal Article |

Cited by: Papers (3)

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In this article, a target protection problem of multiunmanned surface vessels (multiUSVs) with conflicting individual and group goals is formulated and investigated. In the present problem, the group goal of the USVs is to cooperatively protect a given moving global target by maintaining it at the center of the formation formed by the USVs, whereas each USV has an individual goal of tracking its d...Show More

Distributed Time-Varying Nash Equilibrium Seeking Algorithm for Target Protection of MultiUSVs With Conflicting Goals

Xingyun Dai;Guanghui Wen;Xiao Fang;Han Shen

IEEE Transactions on Industrial Informatics

Year: 2024 | Volume: 20, Issue: 6 | Journal Article |

A Stochastic Event-Triggered Robust Unscented Kalman Filter-Based USV Parameter Estimation

Han Shen;Guanghui Wen;Yuezu Lv;Jialing Zhou

IEEE Transactions on Industrial Electronics

Year: 2024 | Volume: 71, Issue: 9 | Journal Article |

Cited by: Papers (3)

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This article aims to address the remote estimation of states and model parameters for a class of unmanned surface vehicle (USVs) with unknown noise parameters and stochastic event-triggered communication mechanism. Specifically, the heavy-tailed process noises and Gaussian distributed measurement noises with unknown covariance matrices are considered. By utilizing variational Bayesian technique, a...Show More

A Stochastic Event-Triggered Robust Unscented Kalman Filter-Based USV Parameter Estimation

Han Shen;Guanghui Wen;Yuezu Lv;Jialing Zhou

IEEE Transactions on Industrial Electronics

Year: 2024 | Volume: 71, Issue: 9 | Journal Article |

Collaborative Parameter Estimation of Multiple Unmanned Surface Vessels: A Robust Distributed Estimator-Based Approach

Han Shen;Guanghui Wen;Yuezu Lv

IEEE Transactions on Industrial Informatics

Year: 2024 | Volume: 20, Issue: 2 | Journal Article |

Cited by: Papers (5)

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In this article, the collaborative parameter estimation of multiple unmanned surface vessels with model structure uncertainties is studied. The considered parameter estimation problem is first converted into a distributed state and parameter joint estimation problem. Then, the robust distributed estimator is constructed to handle the inevitable model structure uncertainties, and the upper bounds o...Show More

Collaborative Parameter Estimation of Multiple Unmanned Surface Vessels: A Robust Distributed Estimator-Based Approach

Han Shen;Guanghui Wen;Yuezu Lv

IEEE Transactions on Industrial Informatics

Year: 2024 | Volume: 20, Issue: 2 | Journal Article |

Stochastic Event-Triggered Sequential Fusion Filtering for USV Cooperative Localization

Mengfei Niu;Guanghui Wen;Han Shen;Yuezu Lv;Guanrong Chen

IEEE Transactions on Aerospace and Electronic Systems

Year: 2023 | Volume: 59, Issue: 6 | Journal Article |

Cited by: Papers (3)

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This article deals with the cooperative localization of maneuvering unmanned surface vessel (USV) based on multisensor fusion estimation, in which a sequential fusion filter is designed to estimate the real-time position of the USV. To avoid excessive communication consumption between sensors and the fusion filter, a stochastic event-triggered communication mechanism is adopted to ensure necessary...Show More

Stochastic Event-Triggered Sequential Fusion Filtering for USV Cooperative Localization

Mengfei Niu;Guanghui Wen;Han Shen;Yuezu Lv;Guanrong Chen

IEEE Transactions on Aerospace and Electronic Systems

Year: 2023 | Volume: 59, Issue: 6 | Journal Article |

USV Parameter Estimation: Adaptive Unscented Kalman Filter-Based Approach

Han Shen;Guanghui Wen;Yuezu Lv;Jun Zhou;Linan Wang

IEEE Transactions on Industrial Informatics

Year: 2023 | Volume: 19, Issue: 6 | Journal Article |

Cited by: Papers (12)

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In this article, a new kind of adaptive unscented Kalman filter is proposed to deal with the parameter estimation problem for a class of nonlinear unmanned surface vessel (USV) models with unknown statistical characteristics of process noises. Specifically, the considered parameter estimation problem is first transformed into the state estimation problem by extending 18 parameters and 3 unknown in...Show More

USV Parameter Estimation: Adaptive Unscented Kalman Filter-Based Approach

Han Shen;Guanghui Wen;Yuezu Lv;Jun Zhou;Linan Wang

IEEE Transactions on Industrial Informatics

Year: 2023 | Volume: 19, Issue: 6 | Journal Article |

An Online Parameter Estimation Method Based on Adaptive Unscented Kalman Filter for Unmanned Surface Vessel

Han Shen;Yuezu Lv;Jun Zhou;Linan Wang;Yuting Feng

2022 34th Chinese Control and Decision Conference (CCDC)

Year: 2022 | Conference Paper |

Cited by: Papers (1)

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In this paper, an online parameter estimation method for unmanned surface vessels (USVs) is designed. The main idea is to establish an augmented system by viewing the parameters as system states, and then estimate the full states of the augmented system by using adaptive unscented Kalman filter (AUKF). Nine parameters including the inertial effects, the damping, the thrust allocation, and the curr...Show More

An Online Parameter Estimation Method Based on Adaptive Unscented Kalman Filter for Unmanned Surface Vessel

Han Shen;Yuezu Lv;Jun Zhou;Linan Wang;Yuting Feng

2022 34th Chinese Control and Decision Conference (CCDC)

Year: 2022 | Conference Paper |

Research on calibration method of extrinsic parameters of lidar and camera carried by UAV

Zhixiang Wang;Han Shen;Haibo Du;Jun Zhou;Xiaozheng Jin

2022 4th International Conference on Data-driven Optimization of Complex Systems (DOCS)

Year: 2022 | Conference Paper |

Cited by: Papers (1)

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The colorful image of the camera and the point cloud of the lidar can provide rich information about the surrounding environment.With the widespread application of UAV in various industries, loading lidars and cameras on UAV can effectively help UAV realize functions such as identification, mapping, and navigation in unfamiliar environments. Aiming at the current research hotspot, this paper combi...Show More

Research on calibration method of extrinsic parameters of lidar and camera carried by UAV

Zhixiang Wang;Han Shen;Haibo Du;Jun Zhou;Xiaozheng Jin

2022 4th International Conference on Data-driven Optimization of Complex Systems (DOCS)

Year: 2022 | Conference Paper |

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