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TRNet: Two-Tier Recursion Network for Co-Salient Object Detection

IEEE Transactions on Circuits and systems for Video Technology 2025年第6期35卷 5844-5857页

作者： Cong, Runmin Yang, Ning Liu, Hongyu Zhang, Dingwen Huang, Qingming Kwong, Sam Zhang, Wei Shandong University School of Control Science and Engineering Jinan250061 China Ministry of Education Key Laboratory of Machine Intelligence and System Control Jinan250061 China Beijing Jiaotong University Institute of Information Science Beijing100044 China Beijing Key Laboratory of Advanced Information Science and Network Technology Beijing100044 China Northwestern Polytechnical University Brain and Artificial Intelligence Laboratory School of Automation Xi'an710129 China University of Chinese Academy of Sciences School of Computer Science and Technology Beijing101408 China Lingnan University Hong Kong

Co-salient object detection (CoSOD) is to find the salient and recurring objects from a series of relevant images, where modeling inter-image relationships plays a crucial role. Different from the commonly used direct learning structure that inputs all the intra-image features into some well-designed modules to represent the inter-image relationship, we resort to adopting a recursive structure for inter-image modeling, and propose a two-tier recursion network (TRNet) to achieve CoSOD in this paper. The two-tier recursive structure of the proposed TRNet is embodied in two stages of inter-image extraction and distribution. On the one hand, considering the task adaptability and inter-image correlation, we design an inter-image exploration with recursive reinforcement module to learn the local and global inter-image correspondences, guaranteeing the validity and discriminativeness of the information in the step-by-step propagation. On the other hand, we design a dynamic recursion distribution module to fully exploit the role of inter-image correspondences in a recursive structure, adaptively assigning common attributes to each individual image through an improved semi-dynamic convolution. Experimental results on five prevailing CoSOD benchmarks demonstrate that our TRNet outperforms other competitors in terms of various evaluation metrics. The code and results of our method are available at https://***/rmcong/TRNetTCSVT2025. © 1991-2012 IEEE.

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A Method of Magnetometer Relative Reference Calibration for Micro-Nano Satellite and Its Application in Orbit

A Method of Magnetometer Relative Reference Calibration for ...

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IEEE International Conference of Intelligent Robotic and control engineering (IRCE)

作者： Mingqun Li Xiang Liu Shangshang Chen Kun Ma Qinghua Jiang Research and Development Center Beijing Institute of Control Engineering Beijing China System Design Department Beijing Institute of Control Engineering Beijing China

For a low-cost micro-nano satellite that uses magnetometer as the core sensor of attitude determination system, a calibration method of relative reference between multiple magnetometer is proposed. The influence of satellite magnetic environment on magnetic field intensity measurement is studied. After considering remanence, induction and installation deviation, an accurate measurement model of magnetometer is proposed. Without introducing other high-performance attitude sensors, the relative relationship between the measurement data of different magnetometer is derived, and a magnetometer relative reference calibration method based on the least square method is proposed. Mathematical simulation shows that the proposed method reduces the relative measurement error of the magnetometer from 2000 nT to 50 nT, and then uses the telemetry data of the satellite in orbit to calibrate several magnetometer of the satellite. After injecting new parameters, the attitude difference of satellites with different magnetometer as the reference decreases from 16 degrees to less than 2 degrees, indicating that the consistency of the magnetometer reference has been significantly improved, which verifies the effectiveness and practicality of the proposed method.

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Design Optimization of High Frequency Transformer for Resonant DC/DC Converter 6

Design Optimization of High Frequency Transformer for Resona...

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6th IEEE International Electrical and Energy Conference, CIEEC 2023

作者： Yu, Xiangdong Zhang, Zheng Wang, Xiaozhou Xu, Jian Zhao, Shuang Ding, Lijian Shen, Min Yin, Chenxu School of Electrical Engineering and Automation Hefei University of Technology Hefei China School of Intelligent Manufacturing and Control Engineering Qilu Institute of Technology Jinan China State Grid Anhui Electric Power CO. Ltd Corporate Management Department Hefei China

ISBN: (纸本)9798350346671

Resonant DC/DC converter is extensively applied in the industry due to their superiorities such as zero voltage switching which enables it to operate under higher frequency. As the core component of resonant DC/DC converter, the high-frequency transformer (HFT) is critical to the performance of the converter in regard of power density, efficiency, and reliability. However, as the frequency and power rating increase, the power loss on the wire and core increase as well. It is desired to propose the optimal design process for integrated HFT which considers the tradeoff between volume and power. This paper comprehensively investigates the impact of air gap length, location and winding structure on the transformer. Based on the analytical model, the design flow of a magnetics integrated transformer which incorporates intrinsic magnetizing inductance and leakage inductance for the resonant tank is presented. Finally, the analytical model and the optimization design of HFT are validated with experimental results. © 2023 IEEE.

关键词： High frequency transformers

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Dynamical systems Based Compliance control Approach Without Direct Force Information

Dynamical Systems Based Compliance Control Approach Without ...

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IEEE International Conference on Industrial Technology (ICIT)

作者： Zongyue He Yi Guo Tianyi Huang Weitao Liu Department of Automation Shanghai Jiao Tong University ShangHai China Shanghai Aerospace System Engineering Institute ShangHai China

ISBN: (数字)9798350340266

ISBN: (纸本)9798350340273

Modern robots must be equipped with compliant interaction strategies to undertake complex human-robot interaction tasks. This paper develops a comprehensive control system blending the dynamical systems approach and the force estimation method. The proposed method allows for the switching between two different compliance control strategies according to task requirements. It can regenerate a compliant dynamical system (DS) motion based on the estimated force, ensuring compliance control along the original set trajectory at the motion level. Unlike existing works that rely on force sensors or additional impedance information, the proposed method achieves ideal compliant behavior with minimal information. Simulation experiment results demonstrate the applicability and stability of the proposed method.

关键词： Adaptation models Force Estimation Switches control systems Stability analysis Trajectory

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H-/H∞UIO-Based Robust Fault Diagnosis Design in Finite Frequency Domain for Discrete-Time systems 41

H-/H∞UIO-Based Robust Fault Diagnosis Design in Finite Freq...

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41st Chinese control Conference, CCC 2022

作者： Gao, Sheng Wang, Jian Lu, Zhihui Ma, Guangfu Guo, Yanning Harbin Institute of Technology Department of Control Science and Engineering Harbin150001 China Beijing Institute of Remote Sensing Equipment Beijing100005 China Aerospace System Engineering Shanghai Shanghai201109 China

ISBN: (纸本)9789887581536

This study investigates the problem of robust fault diagnosis for discrete-time systems subjected to actuator faults and unknown input disturbances. A novel H-/L-{infty} unknown input observer (UIO) based on the generalized Kalman-Yakubovich-Popov (GKYP) lemma is presented by decoupling the partial unknown input disturbances and attenuating the unknown input disturbances that cannot be decoupled. Then, the H- performance index in the finite frequency domain is used to measure the fault sensitivity and the L-{infty} performance index is used to reduce the influence of unknown input disturbances on fault diagnosis results and ensure the robustness performance. A residual evaluation function and a time-varying threshold are presented based on the L-{alpha} performance index. In addition, sufficient conditions for designing the H-/L-{infty} UIO are proposed and transformed into linear matrix inequalities (LMIs) that can be easily solved. Finally, simulations of a simple discrete-time system are used to validate the effectiveness of the developed H-/L-{infty} UIO. © 2022 Technical Committee on control Theory, Chinese Association of automation.

关键词： Linear matrix inequalities

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Deep Reinforcement Learning or Lyapunov Analysis?A Preliminary Comparative Study on Event-Triggered Optimal control

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IEEE/CAA Journal of Automatica Sinica 2024年第7期11卷 1702-1704页

作者： Jingwei Lu Lefei Li Qinglai Wei Fei-Yue Wang IEEE the Department of Industrial Engineering Tsinghua UniversityBeijing 100084China The State Key Laboratory for Management and Control of Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China

Dear Editor,This letter develops a novel method to implement event-triggered optimal control(ETOC) for discrete-time nonlinear systems using parallel control and deep reinforcement learning(DRL), referred to as Deep-ETOC. The developed Deep-ETOC method introduces the communication cost into the performance index through parallel control, so that the developed method enables control systems to learn ETOC policies directly without triggering conditions.

关键词： Deep letter enable

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Reinforcement Fuzzy Q-Learning Incorporated with Genetic Kinematics Analysis for Self-organizing Holonomic Motion control of Six-Link Stewart Platforms

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International Journal of Fuzzy systems 2023年第3期25卷 1239-1255页

作者： Huang, Hsu-Chih Xu, Sendren Sheng-Dong Chen, Yu-Xiang Chen, Chien-Ming Department of Electrical Engineering National Ilan University Yilan260007 Taiwan Graduate Institute of Automation and Control National Taiwan University of Science and Technology Taipei106335 Taiwan Advanced Manufacturing Research Center National Taiwan University of Science and Technology Taipei106335 Taiwan

This paper contributes to the development of reinforcement fuzzy Q-learning incorporated with genetic kinematics analysis for self-organizing holonomic motion control of six-link Stewart platforms. The fuzzy theory is integrated with the Q-learning algorithm to develop a hybrid reinforcement learning strategy. Both the actions and the Q-functions in the classical Q-learning algorithm are inferred by means of fuzzy rules. The proposed hybrid reinforcement learning is then applied to self-organizing holonomic motion control of parallel Stewart platforms for industrial applications. After the kinematics analysis using a geometrical approach and genetic algorithm (GA)-based Newton–Raphson formulation, this study develops a practical control scheme that combines fuzzy Q-learning and proportional–integral–differential (PID) control scheme, called FQPID. In the proposed FQPID holonomic motion control method, the PID control gains are online-tuned via the fuzzy Q-learning computation process. An experimental Stewart platform consisting of six servo motors, adjustable links, and two platforms is constructed to illustrate the effectiveness of the presented methods. The experimental results are compared with some existing control methods using the same evaluation criterion. Through the experimental results and comparative works, the superiority of the proposed FQPID control scheme is presented and discussed. © 2023, The Author(s) under exclusive licence to Taiwan Fuzzy systems Association.

关键词： Reinforcement learning

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Networked control Synthesis of Micro-Grid system Based on Switching Theory

Networked Control Synthesis of Micro-Grid System Based on Sw...

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Chinese control Conference (CCC)

作者： Jinming Luo Lei Yao Sibo Xu Hongtao Wang Jing Gao Key Laboratory of Regional Multi-energy System Integration and Control College of Automation Shenyang Institute of Engineering Shenyang China

A large number of sensors and controllers in the micro-grid system transmit signals through the network, however, due to the physical limitations of the network bandwidth and service capacity, data transmission in the network will have delays, packet loss and time disorder, which will damage the performance of the system, and even lead to instability of the system. Therefore, in this paper, the switching fuzzy time-delay micro-grid system is established, and the Fuzzy controller of the micro-grid subsystem is designed according to the PDC method, and the switching law is designed, the asymptotic stability condition of the system is given by using the method of single Lyapunov function and convex combination, and the stability of the system is analyzed.

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Robust control of Feeding Speed in Coal Seam Drilling Process Considering Borehole Friction

Robust Control of Feeding Speed in Coal Seam Drilling Proces...

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2024 China automation Congress, CAC 2024

作者： Liu, Xiao Chen, Luefeng Lu, Chengda Fan, Haipeng Wu, Min Pedrycz, Witold School of Automation The Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems The Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education China University of Geosciences Wuhan430074 China Department of Electrical and Computer Engineering University of Alberta EdmontonABT6G 2R3 Canada Systems Research Institute Polish Academy of Sciences Warsaw00-901 Poland Department of Computer Engineering Istinye University Sariyer Istanbul34396 Turkey

ISBN: (纸本)9798350368604

During the coal seam drilling process, the drill string is subject to compressive deformation, compounded by unpredictable variations in formation hardness and borehole wall friction, leading to challenges in maintaining a stable feeding speed. This paper presents a novel approach by introducing uncertain parameters to describe the effects of formation hardness and borehole wall friction. Drill string axial movement model is modeled as a polyhedral system based on a lumped parameter representation. To meet industrial performance requirements, we design a robust H∞ controller to achieve consistent feeding speed control. Our simulation results demonstrate the controller’s effectiveness in ensuring system stability despite fluctuations in formation hardness and drill string friction. © 2024 IEEE.

关键词： Coal deposits

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Simulation Method for Reliability Prediction of Switching Power Supply injected with PoF Model

Simulation Method for Reliability Prediction of Switching Po...

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system Reliability and Safety engineering (SRSE), International Conference on

作者： Kaiwen Xiao Cen Chen Weiming Liu Shujuan Wang Xiaoying Gao Guofu Zhai Department of Electrical Engineering & Automation Harbin Institute of Technology Harbin China Beijing Aerospace Automatic Control Institute Beijing China

ISBN: (数字)9798350356083

ISBN: (纸本)9798350356090

Switching power supplies are widely used in aerospace, new energy and many other fields. During long-term operation, various electronic components in these supplies experience performance degradation due to continuous electrical and thermal stress, leading to changes in output characteristics. This is the fundamental reason affecting the reliability of switching power supplies. However, the current combination of physics of failure (PoF) models and simulation technique is imperfect, and most methods cannot achieve batch injection of multiple device failures. This paper proposes a reliability prediction simulation method for switching power supplies based on PoF model injection. By focusing on a switching circuit, the approach involves digital twin modeling and validation, failure mechanism and sensitivity analysis, key failure components degradation modeling, and batch degradation simulation. This method achieves continuous degradation data of multiple components based on the PoF model through batch injection, improving the efficiency and accuracy of reliability prediction for switching power supplies.

关键词： Degradation Power supplies Switches Predictive models Reliability engineering Mathematical models Data models Integrated circuit modeling Thermal stresses Stress

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