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arXiv 2025年

作者： Liu, Chenyang Chen, Keyan Zhao, Rui Zou, Zhengxia Shi, Zhenwei The Department of Aerospace Intelligent Science and Technology School of Astronautics The State Key Laboratory of Virtual Reality Technology and Systems Beihang University Beijing100191 China The Key Laboratory of Spacecraft Design Optimization and Dynamic Simulation Technologies Ministry of Education China Shanghai Artificial Intelligence Laboratory Shanghai200232 China Shen Yuan Honors College of Beihang University Beijing100191 China The Department of Electrical and Computer Engineering National University of Singapore Singapore117583 Singapore

Recently, generative foundation models have significantly advanced large-scale text-driven natural image generation and have become a prominent research trend across various vertical domains. However, in the remote sensing field, there is still a lack of research on large-scale text-to-image (text2image) generation technology. Existing remote sensing image-text datasets are small in scale and confined to specific geographic areas and scene types. Besides, existing text2image methods have struggled to achieve global-scale, multi-resolution controllable, and unbounded image generation. To address these challenges, this paper presents two key contributions: the Git-10M dataset and the Text2Earth foundation model. Git-10M is a global-scale image-text dataset comprising 10.5 million image-text pairs, 5 times larger than the previous largest one. The dataset contains essential resolution information and covers a wide range of geographic scenes and contains essential geospatial metadata, significantly surpassing existing datasets in both size and diversity. Building on Git-10M, we propose Text2Earth, a 1.3 billion parameter generative foundation model based on the diffusion framework to model global-scale remote sensing scenes. Text2Earth integrates a resolution guidance mechanism, enabling users to specify image resolutions. A dynamic condition adaptation strategy is proposed for training and inference to improve image generation quality. Text2Earth not only excels in zero-shot text2image generation but also demonstrates robust generalization and flexibility across multiple tasks, including unbounded scene construction, image editing, and cross-modal image generation. This robust capability surpasses previous models restricted to the basic fixed size and limited scene types. On the previous text2image benchmark dataset, Text2Earth outperfoms previous models with a significant improvement of +26.23 FID and +20.95% Zero-shot Cls-OA metric. Our project page is https://chen-y

关键词： Optical remote sensing

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Tactical communication effects federate for distributed simulations based on HLA

Tactical communication effects federate for distributed simu...

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2014 International Conference on simulation and Modeling Methodologies, Technologies and Applications, SMTA 2014

作者： Gan, Bin Hao, Jiaxin Zhang, Jingang Science and Technology on Complex Land Systems Simulation Laboratory Beijing China

ISBN: (纸本)9781845649821

Warfare simulation Environment for Army Weapon and Equipment systems (WSAWES) provide a tactically robust environment for simulation experiments. The science and technology on complex Land systems simulation laboratory has now developed a tactical communication effects federate (TCEF) integrated with QualNet to model tactical communications systems and networks. TCEF interacts with WSAWES’s CGF that creates a constructive force-on-force simulation environment where communications are modeled by the TCEF and behaviors are modeled by the CGF. As the TCEF is already being integrated into distributed experiments in ghost mode, the TCEF services effort appears to be promising in meeting the stated goals, such as analysis for the connectivity and delay. © 2014 WIT Press.

关键词： Military applications

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A study on formation configuration design for long rang anti-radiation loitering munitions 27

A study on formation configuration design for long rang anti...

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27th Chinese Control and Decision Conference, CCDC 2015

作者： Tang, Xue-Mei Yuan, Cao Bo, Pu Bin, Gan Science and Technology on Complex Land Systems Simulation Laboratory Beijing China

ISBN: (纸本)9781479970179

Aiming at improving the target positioning accuracy, the formation configuration of anti-radiation loitering munitions is optimized. Firstly the time difference measuring error and positioning error of the loitering munitions are analyzed and the error propagation model is developed. Then the formation configuration design model is established based on the proposed time difference localization algorithm and the formation flying boundary conditions. Finally, considering the nonlinear features of optimization function for configuration optimization design, the genetic algorithm is introduced to obtain the optimal configuration. The simulation results show that, compared with the traditional formation configurations, the optimization design of configuration can acquire higher estimation accuracy of target position. Besides, the designed configuration has strong robustness. High accuracy estimations of target position can be obtained under a wide range of target position changes. © 2015 IEEE.

关键词： formation configuration loitering munitions optimization design time difference localization

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Study on semi-active suspension system of tracked vehicle based on variable universe fuzzy control

Study on semi-active suspension system of tracked vehicle ba...

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2011 IEEE International Conference on Mechatronics and Automation, ICMA 2011

作者： Kong, Lingjie Zhao, Xinjun Qi, Baili Science and Technology on Complex Land Systems Simulation Laboratory Beijing China

ISBN: (纸本)9781424481149

The suspension system with high performances is an important factor ensuring the tracked vehicle mobility and comfortable in different situations. Magneto rheological dampers, which are semi-active suspension equipment that use magneto rheological fluids to produce controllable force, can be used as smart actuators to reduce the vibrations of mechanical systems. An analytical study is performed in this article to examine the effectiveness of this type of actuator in suppressing the vibrations of a tracked vehicle suspension system. Based on the fluid mechanics theory, an amendment dynamic model of magneto rheological damper is derived. Considering the suspension characteristic and uncertainty of a magneto rheological damper, a variable universe fuzzy controller is designed to achieve a control of active variable damping. The results proved that the derived magneto rheological damper dynamic model is correct and indicated that the designed variable universe fuzzy controller could reduce the tracked vehicle vibration, which will further establish the basis of engineering application for a magneto rheological damper on semi-active suspension. © 2011 IEEE.

关键词： Controllers

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A Large-Scale Scheduling Method for Multiple Agile Optical Satellites

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Computer Modeling in Engineering & sciences 2023年第8期136卷 1143-1163页

作者： Zheng Liu Wei Xiong Minghui Xiong Science and Technology on Complex Electronic System Simulation Laboratory Space Engineering UniversityBeijing101416China

This study investigates the scheduling problem ofmultiple agile optical satelliteswith large-scale *** problem is difficult to solve owing to the time-dependent characteristic of agile optical satellites,complex constraints,and considerable solution *** solve the problem,we propose a scheduling method based on an improved sine and cosine algorithm and a task merging *** first establish a scheduling model with task merging constraints and observation action constraints to describe the ***,an improved sine and cosine algorithm is proposed to search for the optimal solution with the maximum profit *** adaptive cosine factor and an adaptive greedy factor are adopted to improve the ***,a taskmerging method with a task reallocation mechanism is developed to improve the scheduling *** results demonstrate the superiority of the proposed algorithm over the comparison algorithms.

关键词： Multiple agile optical satellites scheduling task merging sine and cosine algorithm task reallocation

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Jordan homomorphisms on Hilbert C^∗-modules

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Expositiones Mathematicae 2025年第4期43卷

作者： Qi, Xiaofei Chen, Huimin Hou, Jinchuan School of Mathematics and Statistics Shanxi University Shanxi Taiyuan 030006 China Key Laboratory of Complex Systems and Data Science of Ministry of Education Shanxi University Shanxi Taiyuan 030006 China College of Mathematics Taiyuan University of Technology Taiyuan 030024 China

We generalize the concept of homomorphisms between Hilbert C∗-modules to the concept of Jordan homomorphisms. Let M be a Hilbert C∗-module over a C∗-algebra A and φ:M→M be a map. Under the condition that A is commut... 详细信息

We generalize the concept of homomorphisms between Hilbert C^∗-modules to the concept of Jordan homomorphisms. Let M be a Hilbert C^∗-module over a C^∗-algebra A and φ:M→M be a map. Under the condition that A is commutative and φ is ℂ-linear bounded, we show that φ is a Jordan homomorphism if and only if φ is a homomorphism. In addition, we also discuss the relationship between Φ-unitary maps and automorphisms, and give some conditions under which φ is an automorphism if and only if φ is a Φ-unitary map. © 2025

关键词： Hilbert [Figure presented]-modules Homomorphisms Jordan homomorphisms ϕ-unitary maps

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Data-Driven Learning and Control with Event-Triggered Measurements

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IEEE Transactions on Automatic Control 2025年

作者： Feng, Shilun Shi, Dawei Chen, Tongwen Shi, Ling Beijing Institute of Technology State Key Laboratory of Intelligent Control and Decision of Complex Systems MIIT Key Laboratory of Servo Motion System Drive and Control School of Automation Beijing100081 China University of Alberta Department of Electrical and Computer Engineering EdmontonABT6G 1H9 Canada Hong Kong University of Science and Technology Department of Electronic and Computer Engineering Clear Water Bay Kowloon Hong Kong

Event-triggered control has attracted considerable attention for its effectiveness in resource-restricted applications. To make event-triggered control as an end-to-end solution, a key issue is how to effectively learn unknown system dynamics from event-triggered measurements and consequently, develop a learning-based event-triggered controller. Existing works learn system dynamics based on periodic time-triggered measurements, and it is yet to know how to learn a controller with performance guarantee based on event-triggered measurements. To address this issue, we consider the problem of learning an event-triggered state feedback controller for an unknown linear system based on event-triggered state measurements in this work. In particular, we first analyze the event-triggered measurements within a set-membership framework. We prove that the estimation error belongs to a bounded ellipsoid determined by the historical measurements and the event-triggering condition. Subsequently, we demonstrate that all admissible systems compatible with the collected data samples can be explicitly represented in the form of quadratic matrix inequalities using the state estimates. With the acquired set of admissible systems, a co-design problem for the data-driven controller and event-triggering condition is solved using the linear matrix inequality technique, with guaranteed closed-loop stability and L2-gain performance. Finally, numerical examples and comparisons are provided to illustrate the effectiveness of the proposed event-triggered learning and control approach. © 1963-2012 IEEE.

关键词： Networked control systems

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Refining Image Edge Detection via Linear Canonical Riesz Transforms

arXiv

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arXiv 2025年

作者： Yang, Shuhui Fu, Zunwei Yang, Dachun Lin, Yan Li, Zhen Laboratory of Mathematics and Complex Systems Ministry of Education of China School of Mathematical Sciences Beijing Normal University Beijing100875 China School of Mathematics and Statistics Linyi University Linyi276000 China College of Information Technology The University of Suwon Hwaseong-si18323 Korea Republic of School of Science China University of Mining and Technology Beijing100083 China

Combining the linear canonical transform and the Riesz transform, we introduce the linear canonical Riesz transform (for short, LCRT), which is further proved to be a linear canonical multiplier. Using this LCRT multiplier, we conduct numerical simulations on images. Notably, the LCRT multiplier significantly reduces the complexity of the algorithm. Based on these we introduce the new concept of the sharpness REsc of the edge strength and continuity of images associated with the LCRT and, using it, we propose a new LCRT image edge detection method (for short, LCRT-IED method) and provide its mathematical foundation. Our experiments indicate that this sharpness REsc characterizes the macroscopic trend of edge variations of the image under consideration, while this new LCRT-IED method not only controls the overall edge strength and continuity of the image, but also excels in feature extraction in some local regions. These highlight the fundamental differences between the LCRT and the Riesz transform, which are precisely due to the multiparameter of the former. This new LCRT-IED method might be of significant importance for image feature extraction, image matching, and image *** Codes Primary 42B20, Secondary 42B35, 42A38, 94A08 Copyright © 2025, The Authors. All rights reserved.

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A study on formation configuration design for long rang anti-radiation loitering munitions

A study on formation configuration design for long rang anti...

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第27届中国控制与决策会议

作者： Tang Xue-mei Cao Yuan Pu Bo Gan Bin Science and Technology on Complex Land Systems Simulation Laboratory

ISBN: (纸本)9781479970186

Aiming at improving the target positioning accuracy,the formation configuration of anti-radiation loitering munitions is *** the time difference measuring error and positioning error of the loitering munitions are analyzed and the error propagation model is *** the formation configuration design model is established based on the proposed time difference localization algorithm and the formation flying boundary ***,considering the nonlinear features of optimization function for configuration optimization design,the genetic algorithm is introduced to obtain the optimal *** simulation results show that,compared with the traditional formation configurations,the optimization design of configuration can acquire higher estimation accuracy of target ***,the designed configuration has strong *** accuracy estimations of target position can be obtained under a wide range of target position changes.

关键词： loitering munitions formation configuration time difference localization optimization design

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Performance Analysis of Distributed Filtering under Misspecified Noise Covariances

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IEEE Transactions on Automatic Control 2025年

作者： Lyu, Xiaoxu Wen, Guanghui Shi, Ling Duan, Peihu Duan, Zhisheng The Hong Kong University of Science and Technology Department of Electronic and Computer Engineering Hong Kong Southeast University School of Automation Nanjing210096 China The Hong Kong University of Science and Technology Department of Chemical and Biological Engineering Hong Kong Beijing Institute of Technology State Key Laboratory of CNS/ATM Beijing100081 China Peking University State Key Laboratory for Turbulence and Complex Systems Department of Mechanics and Engineering Science College of Engineering Beijing100871 China

This paper systematically investigates the performance of the consensus-based distributed filter under misspecified noise covariances. First, we introduce four quantities: the nominal filter parameter, the nominal estimation error covariance, the ideal filter parameter, and the ideal estimation error covariance. We derive the difference expressions among these quantities and establish the corresponding one-step relations. These relations reveal how performance deteriorates when noise covariances are misspecified, and demonstrate how to evaluate the estimation error covariance using the available nominal filter parameter. We particularly highlight the effect of the information fusion step number on these relations. Furthermore, recursive relations are introduced by extending the results of the one-step relations. Subsequently, we demonstrate the convergence of these quantities under the collective observability condition, and show that the convergence condition of the nominal filter parameter can guarantee the convergence of the estimation error covariance. Additionally, we provide bounds on the estimation error covariance under misspecified noise covariances by utilizing the Frobenius norms of the noise covariance deviations and the trace of the nominal filter parameter. Finally, the effectiveness of the theoretical results is verified through numerical simulations. © 1963-2012 IEEE.

关键词： consensus analysis convergence analysis Distributed filtering misspecified noise covariance performance analysis

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