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Parallel Seeds:From Foundation Models to Foundation Intelligence for Agricultural Sustainability

IEEE/CAA Journal of Automatica Sinica 2025年第3期12卷 481-484页

作者： Laiyi Fu Shunkang Ling Danyang Wu Mengzhen Kang Fei-Yue Wang Hequan Sun the Shool of Automation Science and Engineering Faculty of Electronic and Information Engineering Xi'an Jiaotong University the College of Information Engineering Northwest A&F University IEEE the State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences

THE development of agriculture faces significant challenges due to population growth, climate change, land depletion, and environmental pollution, threatening global food security [1]. This necessitates the development of sustainable agriculture, where a fundamental step is crop breeding to improve agronomic or economic traits, e.g., increasing yields of crops while decreasing resource usage and minimizing pollution to the environment [2].

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A Non-Iterative Network Utilization Pricing Mechanism for P2P Energy Trading

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CSEE Journal of Power and Energy Systems 2024年第3期10卷 1301-1306页

作者： Yun Liu Yunqiang Gao Yuanzheng Li Jizhong Zhu Hoay Beng Gooi School of Electric Power Engineering South China University of TechnologyGuangzhou 510641China School of Artificial Intelligence and Automation Ministry of Education Key Laboratory of Image Processing and Intelligence ControlHuazhong University of Science and TechnologyWuhan 430074China School of Electrical and Electronic Engineering Nanyang Technological UniversitySingapore IEEE

To sustain operation and maintenance of an active distribution network(ADN),a network fee should be charged by the distribution network service provider(DNSP)for facilitating the P2P energy trading *** this end,this paper models the interaction among the DNSP and multiple prosumers as a Stackelberg game,and then develops a non-iterative and decentralized transactive mechanism to simultaneously achieve optimal network utilization pricing and peer-to-peer(P2P)*** results in an ADN with four prosumers connected to a common substation bus validate the effectiveness and efficiency of the proposed scheme.

关键词： Distribution network service provider network fee non-iterative peer-to-peer trading prosumer

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Output Current Pulsation Reduction with Multi-coil Receiver in the Dynamic Wireless Charging Systems for electric Vehicles 12

Output Current Pulsation Reduction with Multi-coil Receiver ...

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12th IEEE International Conference on control, automation and Information Sciences, ICCAIS 2023

作者： Hiep, Tran Duc Minh, Nguyen Huu Diep, Nguyen Thi Minh, Tran Trong Trung, Nguyen Kien Hanoi University of Science and Technology School of Electrical and Electronic Engineering Viet Nam Hanoi University of Industry Faculty of Electrical Engineering Viet Nam Electric Power University Faculty of Control and Automation Viet Nam

ISBN: (纸本)9798350328783

Dynamic wireless charging (DWC) systems for electric vehicles are an important solution for electric vehicles to be used more commonly in the future. However, when the electric vehicle is moving and charging in the DWC lane, the charging current is pulsated. This charging current pulse will affect the battery life. This paper proposes a multi-coil receiver structure to reduce the pulsation of the output current. The proposal has been verified by simulation and experimental results, the output current pulsation achieved is 3.1%. © 2023 IEEE.

关键词： electric vehicles

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Object recognition and grasp detection in complex scenarios for home service robot

Object recognition and grasp detection in complex scenarios ...

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2024 China automation Congress, CAC 2024

作者： Xu, Shengjun Bai, Liang Zhong, Huangwei Hu, Yuji Sun, Xiangcai Lyu, Hongqiang School of Information and Control Engineering Xi'an University of Architecture and Technology Xi’an China School of Automation Science and Engineering Faculty of Electronic and Information Engineering Xi’an Jiaotong University Xi’an China

ISBN: (纸本)9798350368604

With the development of artificial intelligence, home service robots have been widely applied in daily life. As one of the fundamental functions of service robots, object grasping helps improve the level of unmanned and intelligent household. However, traditional robots still face challenges in flexibility and accuracy in complex home environments. In this paper, an object recognition and grasp detection system in complex scenarios for home service robots is proposed. The system consists of four modules: image acquisition, human-machine interaction software, RGB-D image processing, and robot control. The image acquisition module captures RGB and depth images of the work area and sends them to the software. The RGB-D image processing module begins with object recognition to obtain object categories and bounding box with the help of YOLOv8. The target point cloud is produced by combining the target subimage and corresponding depth information, followed by depth completion and plane expansion. Then the processed point cloud is fed into a Graspnet pose estimation network to calculate the 6D grasping pose for service robot. And finally, the robot control module is invoked to carry out the corresponding target grasping action. To evaluate the performance, an experimental platform for home service robot is built to grasp various daily necessities. The results tell that the average accuracy for object recognition reaches up to 98.3%, the success rate for single-target grasping is 94.4%, and the success rate for multi-target grasping can achieve 80%. © 2024 IEEE.

关键词： Image acquisition

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Enhanced UAV Pursuit-Evasion Using Boids Modelling:A Synergistic Integration of Bird Swarm Intelligence and DRL

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Computers, Materials & Continua 2024年第9期80卷 3523-3553页

作者： Weiqiang Jin Xingwu Tian Bohang Shi Biao Zhao Haibin Duan Hao Wu School of Information and Communications Engineering Faculty of Electronic and Information EngineeringXi’an Jiaotong UniversityXi’an710049China China Academy of Electronics and Information Technology China Electronics Technology Group Corporation(CETC)Beijing100041China Department ofAutomatic Control School of Automation Science and Electrical EngineeringBeihangUniversityBeijing100191China

TheUAV pursuit-evasion problem focuses on the efficient tracking and capture of evading targets using unmanned aerial vehicles(UAVs),which is pivotal in public safety applications,particularly in scenarios involving intrusion monitoring and *** address the challenges of data acquisition,real-world deployment,and the limited intelligence of existing algorithms in UAV pursuit-evasion tasks,we propose an innovative swarm intelligencebased UAV pursuit-evasion control framework,namely“Boids Model-based DRL Approach for Pursuit and Escape”(Boids-PE),which synergizes the strengths of swarm intelligence from bio-inspired algorithms and deep reinforcement learning(DRL).The Boids model,which simulates collective behavior through three fundamental rules,separation,alignment,and cohesion,is adopted in our *** integrating Boids model with the Apollonian Circles algorithm,significant improvements are achieved in capturing UAVs against simple evasion *** further enhance decision-making precision,we incorporate a DRL algorithm to facilitate more accurate strategic *** also leverage self-play training to continuously optimize the performance of pursuit *** experimental evaluation,we meticulously designed both one-on-one and multi-to-one pursuit-evasion scenarios,customizing the state space,action space,and reward function models for each *** simulations,supported by the PyBullet physics engine,validate the effectiveness of our proposed *** overall results demonstrate that Boids-PE significantly enhance the efficiency and reliability of UAV pursuit-evasion tasks,providing a practical and robust solution for the real-world application of UAV pursuit-evasion missions.

关键词： UAV pursuit-evasion swarm intelligence algorithm Boids model deep reinforcement learning self-play training

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A Fractional-Order Nonlinear Backstepping controller Design for Current-controlled Maglev System

arXiv

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arXiv 2025年

作者： Astekin, Dorukhan Adigüzel, Fatih Yıldız Technical University Electric-Electronic Faculty Department of Control and Automation Engineering İstanbul Turkey

The magnetic levitation system (Maglev) is a nonlinear system by which an object is suspended with no support other than magnetic fields. The main control perspective of the Maglev system is to levitate a steel ball in air by the electromagnetic force. However, the Maglev system has highly nonlinear dynamics which is inconvenient in the sense of sensitive control/regulation of its nonlinear dynamics. In this paper, the nonlinear backstepping controller based on the fractional-order derivative is proposed for the control of the nonlinear current-controlled Maglev system. After, the system dynamics and fractional-order backstepping controller design are given, the asymptotic stability of the closed-loop system is proved by employing the Lyapunov theory. Some computer-based numerical experiments are carried out to show the effectiveness of the proposed controller for the control of Maglev system. © 2025, CC BY.

关键词： Magnetic levitation

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Data-Driven Group Formation control of Cyber-Physical Systems via Distributed Cloud Computing

IEEE Transactions on Industrial Cyber-Physical Systems

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IEEE Transactions on Industrial Cyber-Physical Systems 2025年 3卷 341-350页

作者： Ren, Hongru Long, Yinren Li, Hongyi Huang, Tingwen Guangdong University of Technology School of Automation Guangdong-Hong Kong Joint Laboratory for Intelligent Decision and Cooperative Control Guangdong Provincial Key Laboratory for Intelligent Decision and Cooperative Control Guangzhou510006 China Southwest University College of Electronic and Information Engineering Chongqing400715 China Shenzhen University of Advanced Technology Faculty of Computer Science and Control Engineering Shenzhen518055 China

This paper investigates the group formation control problem for cyber-physical systems (CPSs) with random communication constraints. The distributed cloud computing system is constructed to divide agents into groups and establish communication between agents. A data-driven predictive control strategy is proposed by combining networked predictive control and model-free adaptive control method. The desired group formation control performance can be achieved and the three-channel random communication constraints of CPSs are actively compensated. Thisstrategy does not require the system model and relies solely on the system's I/O data for adaptive learning. Further analyses concludes the conditions for simultaneous reach stability and group formation of the closed-loop CPSs using the data-driven predictive control strategy. The effectiveness of the proposed strategy is validated by simulation results. © 2023 IEEE.

关键词： Distributed cloud

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Research on twistor-based complex collisions of a quadrotor UAV suspension system

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International Journal of Dynamics and control 2025年第3期13卷 1-14页

作者： Zhou, Jiaxing Chen, Yuhao Deng, Yifan Li, Qing School of Electric Engineering and Automation Xiamen University of Technology 600 Ligong Road Fujian Xiamen361024 China Xiamen Key Laboratory of Frontier Electric Power Equipment and Intelligent Control 600 Ligong Road Fujian Xiamen361024 China Faculty of Electronic and Information Engineering Xi’an Jiaotong University No. 28 Xianning West Shaanxi Xi’an710075 China School of Aerospace Northwestern Polytechnical University No. 127 Youyi West Road Xi’an710072 China

The disturbances of wind fields and collisions introduce additional uncertain disturbance during the collision deicing process of UAV suspended load. The UAV suspension system’s position and attitude models are established separately based on traditional method such as Newton–Euler. Consequently, the introduction of multiple algebraic methods, including position vector and Euler angle, increases computational complexity. Accordingly, the system response delays and the control accuracy cannot meet the mission requirements. Therefore, it is essential to find a method for integrated position–attitude modeling and control. To address this problem, this paper proposes a collision dynamic model for a quadrotor UAV suspension system based on twistor. This twistor provides a unified description of translational and rotational motion. In addition, the introduction of twistor avoids the normalization constraints and parameter redundancy in dual quaternion. The stability of the UAV cannot be ensured due to the uncertain disturbances introduced by the wind field and collisions. As a result, there is a need to design a strong disturbance rejection controller. To mitigate impacts of these disturbances, a fuzzy sliding mode controller within the twistor framework is presented. Lyapunov theory and LaSalle invariance principles are used to prove the stability of the system. The simulation demonstrates that the fuzzy sliding mode controller within the twistor framework effectively ensures the stability and adaptability of the quadrotor UAV suspended system under the disturbances of wind fields and collisions. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2025.

关键词： Disturbance rejection

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RELIABILITY-BASED MULTIDISCIPLINARY DESIGN OPTIMIZATION METHOD UNDER ORIGINAL PROBABILITY MODEL FOR WIND TURBINE STRUCTURE 14

RELIABILITY-BASED MULTIDISCIPLINARY DESIGN OPTIMIZATION METH...

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14th International Conference on Quality, Reliability, Risk, Maintenance, and Safety engineering, QR2MSE 2024

作者： Meng, Debiao Yang, Hengfei Nie, Peng Su, Xiaoyan Yang, Shiyuan School of Mechanical and Electrical Engineering University of Electronic Science and Technology of China Chengdu China Institute of Electronic and Information Engineering of UESTC in Guangdong Dongguan China School of Automation Engineering Shanghai University of Electric Power Shanghai China Faculty of Engineering University of Porto Porto Portugal

ISBN: (纸本)9781837242672

As an optimization strategy considering both uncertainty and discipline coupling, Reliability based Multidisciplinary Design Optimization (RBMDO) has been widely studied. While RBMDO is utilized across various fields, its application and overarching frameworks are scant in the context of wind turbine structures. This study introduces an RBMDO approach tailored for wind turbine structures. The method incorporates a strategy for resolving the Most Probable Point (MPP) issue based on the original probability model, which is particularly useful for addressing challenges encountered when RBMDO relies on the First Order Reliability Method that may result in multiple MPPs. To alleviate the computational demands of RBMDO, collaborative optimization, sequential optimization and reliability analysis are integrated into the methodology. The effectiveness of this approach is demonstrated through the design optimization of a 3 MW onshore wind turbine tower, considering the uncertainties in material properties, load conditions and design variables. © The Institution of engineering & Technology 2024.

关键词： Design aids

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Influences of Inhomogeneous Spatial Distribution of Global Oceanic Atmospheric Refractivity on LF Groundwave Propagation Delay

Influences of Inhomogeneous Spatial Distribution of Global O...

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2024 International Applied Computational Electromagnetics Society Symposium, ACES-China 2024

作者： Wang, Dan-Dan Lu, Qi-Zirui Han, Chao Pu, Yu-Rong Yang, Rui-Hong Bai, Pei-Rui Shandong University of Science and Technology College of Electronic and Information Engineering Qingdao China Xi'an University of Technology Faculty of Automation and Information Engineering Xi'an China Beijing Aerospace Automatic Control Institute Beijing China

ISBN: (纸本)9798350355581

Atmospheric refractivity affects the propagation delay of low-frequency (LF) groundwave in the realistic ocean environment. In this paper, a parabolic equation (PE) model based on the ERA5 meteorological reanalysis dataset is applied to analyze the influences of inhomogeneous spatial distribution of global oceanic atmospheric refractivity on LF groundwave propagation delay. The global oceanic atmospheric refractivity is derived from the meteorological quantities given by the ERA5 reanalysis dataset. It is found that the global oceanic surface atmospheric refractivity varies systematically with latitude in the range of 290∼300 N-unit to 380∼400 N-unit, which in turn leads to the variation of LF groundwave propagation delay reaching hundredth nanosecond for 1000 km-long propagation path. © 2024 IEEE.

关键词： global oceanic atmospheric refractivity low-frequency (LF) groundwave propagation parabolic equation (PE)

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