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作者： Bai, Ting Johansson, Alexander Li, Shaoyuan Johansson, Karl Henrik Mårtensson, Jonas School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Stockholm Sweden KTH Royal Institute of Technology Stockholm Sweden Department of Automation Shanghai Jiao Tong University Shanghai China Key Laboratory of System Control and Information Processing Shanghai Jiao Tong University Shanghai China Digital Futures Stockholm Sweden

This paper models a platooning system consisting of trucks and a third-party service provider (TPSP), which performs platoon coordination, distributes the platooning profit in platoons, and charges trucks in exchange for the services. Government subsidies used to incentivize platooning are also considered. We propose a pricing rule for the TPSP, which keeps part of the platooning profit including the subsidy each time a platoon is formed. In addition, a platoon coordination solution based on the distributed model predictive control (MPC) is proposed, in which the pricing rule under government subsidies is integrated. We perform a realistic simulation over the Swedish road network to evaluate the impact of the pricing rule and subsidies on the achieved profits and fuel savings. Our results show that subsidies are an effective mean to boost fuel savings from platooning. Moreover, the simulation study indicates that high pricing corresponds to a low platooning rate of the system, as trucks' incentives for platooning decrease. © 2023 The Authors. Asian Journal of control published by John Wiley & Sons Australia, Ltd on behalf of Chinese Automatic control Society.

关键词： Trucks

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A Novel Three-Phase Passive Auxiliary Resonant Pole Soft-Switching Inverter With Symmetrical Auxiliary Networks and Electric Energy Feedback Function

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International Journal of Circuit Theory and Applications 2025年第0期

作者： Wang, Shuyu Liu, Hongchen Gao, Fei Wheeler, Patrick School of Electrical Engineering and Automation Harbin Institute of Technology Harbin China Department of Engineering Science Shanghai Jiao Tong University Shanghai China Power Electronics Machines and Control Research Institute University of Nottingham Santiago Chile

To solve the problems of high cost, large additional component size, large circulating loss, and complex control in existing auxiliary resonant soft-switching inverters, a three-phase passive auxiliary resonant pole inverter (ARPI) with symmetrical auxiliary networks and electric energy feedback function is proposed. On each phase bridge arm of the inverter, a set of passive auxiliary networks (PANs) without large electrolytic capacitors, transformers, and other devices is provided, which is capable of enhancing the power density of the inverter. Additionally, as the auxiliary commutation circuit does not employ auxiliary switches, it not only lowers the hardware cost but also simplifies the control complexity and enhances the reliability of the soft-switching inverter operation. The proposed topology is capable of enhancing the utilization ratio of DC voltage and reducing the harmonic content of the output waveform. According to the equivalent circuit diagrams in different operating modes, the soft-switching operating principle and realization conditions of soft-switching for the proposed ARPI are analyzed. The parameters of passive components are designed with the aim of minimizing the PAN loss. A 3-kW experimental prototype is constructed. The experimental results indicate that the switching tubes can realize the soft-switching action and suppress the rate of change of voltage and current. The efficiency of the prototype can reach 98.30% at the rated output power, which is a remarkable improvement compared with the same type of ARPIs. © 2025 John Wiley & Sons Ltd.

关键词： Poles

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Event-triggered Nonlinear control with Reset Dynamics

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IEEE Transactions on Automatic control 2025年

作者： Zhu, Lijun Chen, Zhiyong The Ministry of Education Key Laboratory of Imaging Processing and Intelligence Control China Huazhong University of Science and Technology School of Artificial Intelligence and Automation Wuhan430074 China The University of Newcastle School of Engineering CallaghanNSW2308 Australia

In this paper, we propose an improved event-triggered control law based on Lyapunov function method for a class of nonlinear systems by integrating a monotonically decreasing dynamics with a reset mechanism at each sampling instance. It is rigorously guaranteed that the sampling interval can be increased compared to a recently designed Lyapunov-function based event-triggered control law when adopted at each step while the advantages compared with other existing event-triggered control laws are maintained. Then, the improved event-triggered law is applied in the adaptive control scheme. Finally, it is verified by numerical examples that the sampling efficiency is improved when the design parameter is appropriately chosen. © 1963-2012 IEEE.

关键词： Lyapunov functions

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Data-Driven Tracking control for Non-Affine Yaw Channel of Helicopter via Off-Policy Reinforcement Learning

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IEEE Transactions on Aerospace and Electronic Systems 2025年

作者： Zhang, Kun Luo, Shijie Wu, Huai-Ning Su, Rong The School of Astronautics Beihang University Beijing100191 China The Science and Technology on Aircraft Control Laboratory School of Automation Science and Electrical Engineering Beihang University Beijing100191 China Hangzhou International Innovation Institute Beihang University Hangzhou311115 China The School of Electrical and Electronic Engineering Nanyang Technological University 639798 Singapore

This paper presents an off-policy tracking control scheme for the continuous-time non-affine yaw channel of unmanned aerial vehicle helicopter (UAVH). Firstly, the paper constructs an affine augmented system (AAS) within a parallel control structure to convert the original non-affine tracking error dynamics into affine dynamics. Secondly, the paper derives a stability criterion linking the non-affine system and the AAS, demonstrating that the obtained zero-sum policy from the AAS can achieve the H ∞ performance of the non-affine system. Thirdly, a data-driven off-policy tracking algorithm is designed for approximating the zero-sum solution of the Hamilton-Jacobi-Isaacs equations with unknown dynamics. Moreover, the recursive least squares process with a variable forgetting factor is employed to update the actor-critic neural network (NN) weights, with the algorithm's convergence being proven. Then, the uniformly ultimately bounded (UUB) of tracking errors is guaranteed. Finally, two application examples are offered in simulation to validate the effectiveness of this presented method. © 1965-2011 IEEE.

关键词： Stability criteria

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Observer-Based Adaptive Finite-Time Containment control for Nonlinear Multiagent Systems Subject to FDI Attacks

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IEEE Transactions on automation science and engineering 2025年

作者： Kang, Haobo Ma, Hongjun Niu, Ben Guangzhou University School of Mechanical and Electrical Engineering Guangdong Guangzhou510006 China Guangdong-Hong Kong-Macao Key Laboratory of Multi-scale Information Fusion and Collaborative Optimization Control of Complex Manufacturing Process Guangdong Guangzhou510006 China South China University of Technology School of Automation Science and Engineering Guangzhou510641 China Dalian University of Technology School of Control Science and Engineering Liaoning Dalian116024 China

This paper investigates the adaptive finite-time containment control problem for a class of nonlinear multiagent systems (MASs) under false data injection (FDI) attacks. On account of the fact that instability is inevitable when the false datas are injected into the researched system, the backstepping technique based on the modified coordinate transformation is applied to eliminate the impact of the FDI attacks. Furthermore, the "dynamic surface control"(DSC) approach is utilized to overcome the issue of "explosion of complexity" caused by repeatedly taking derivatives for the virtual control laws. Then, by designing an observer to refactor the immeasurable states of the MASs, a finite-time adaptive output-feedback tracking containment controller is constructed. It is shown that all the signals in the closed-loop systems are semi-globally practical finite-time stability(SGPFS), and the outputs of all the followers converge to the convex hull spanned by the multiple leaders’s outputs. Besides, the observer errors and the containment errors can converge to a small neighborhood of the origin in finite time. Finally, the simulation results are presented to demonstrate the effectiveness of the proposed containment control protocol. © 2004-2012 IEEE.

关键词： Closed loop control systems

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Distributed Time-Varying Constrained Convex Optimization: Finite-/Fixed-Time Convergence

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IEEE Transactions on control of Network Systems 2025年

作者： Guo, Ge Zhou, Zeng-Di Zhang, Renyongkang Northeastern University State Key Laboratory of Synthetical Automation for Process Industries Shenyang110819 China Northeastern University School of Control Engineering Qinhuangdao066004 China Northeastern University College of Information Science and Engineering Shenyang110819 China

This paper investigates a distributed time-varying optimization problem with inequality constraints, aiming to find finite- and fixed-time convergent solutions free from initialization. A nonsmooth optimization algorithm for state consensus achieving within a finite or fixed time is presented, by designing a projection-based log-barrier penalty cost function to meet the constraints and introducing integral sliding mode subsystems to guarantee zero- gradient-sum. With the use of the projection idea, the penalized functions are always well-defined (i.e., satisfying the logarithmic definition) for any system states, which avoids initializing of certain parameters. An adaptive gain scheme without any extra global information is presented. The time-varying zero- gradient-sum method here is feasible for cost functions with nonidentical Hessian matrixes, and applicable to finite or fixed time optimal consensus tracking. The effectiveness and superiority of our algorithms are verified with numerical simulations. © 2014 IEEE.

关键词： Cost functions

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SpaGRA:Graph augmentation facilitates domain identification for spatially resolved transcriptomics

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Journal of Genetics and Genomics 2025年第1期52卷 93-104页

作者： Xue Sun Wei Zhang Wenrui Li Na Yu Daoliang Zhang Qi Zou Qiongye Dong Xianglin Zhang Zhiping Liu Zhiyuan Yuan Rui Gao Center of Intelligent Medicine School of Control Science and EngineeringShandong UniversityJinanShandong 250061China MOE Key Lab of Bioinformatics and Bioinformatics Division of BNRIST Department of AutomationTsinghua UniversityBeijing 100084China Institute of Precision Medicine Peking University Shenzhen HospitalShenzhenGuangdong 518036China Department of Clinical Laboratory The Second HospitalCheeloo College of MedicineShandong UniversityJinanShandong 250033China Institute of Science and Technology for Brain-Inspired Intelligence Center for Medical Research and InnovationShanghai Pudong HospitalFudan University Pudong Medical CenterFudan UniversityShanghai 200433China

Recent advances in spatially resolved transcriptomics(SRT)have provided new opportunities for characterizing spatial structures of various ***-based geometric deep learning has gained widespread adoption for spatial domain identification ***,most methods define adjacency relation between cells or spots by their spatial distance in SRT data,which overlooks key biological interactions like gene expression similarities,and leads to inaccuracies in spatial domain *** tackle this challenge,we propose a novel method,SpaGRA(https://***/sunxue-yy/SpaGRA),for automatic multi-relationship construction based on graph *** uses spatial distance as prior knowledge and dynamically adjusts edge weights with multi-head graph attention networks(GATs).This helps SpaGRA to uncover diverse node relationships and enhance message passing in geometric contrastive ***,SpaGRA uses these multi-view relationships to construct negative samples,addressing sampling bias posed by random *** results show that SpaGRA presents superior domain identification performance on multiple datasets generated from different *** SpaGRA,we analyze the functional regions in the mouse hypothalamus,identify key genes related to heart development in mouse embryos,and observe cancer-associated fibroblasts enveloping cancer cells in the latest Visium HD ***,SpaGRA can effectively characterize spatial structures across diverse SRT datasets.

关键词： Spatial domain identification Spatially resolved transcriptomics Multi-head graph attention networks Graph augmentation Geometric contrastive learning

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Inner Rotor Shaping Method for Torque Ripple Suppression in Hollow-Cup Machines

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IEEE Transactions on Industry Applications 2025年

作者： Cui, Zhanpeng Zhou, Jinxiang Le, Yun Zhang, Liu Wang, Kun Liu, Ximing Zheng, Shiqiang Beihang University School of Instrumentation and Optoelectronic Engineering Beijing100191 China Beihang University Zhejiang Engineering Research Center of Precision Electromagnetic Control Technology and Equipment Ningbo Institute of Technology Ningbo315800 China Beihang University School of Automation Science and Electrical Engineering Beijing100191 China

The ultra-precise stabilization spacecraft (UPSS) requires the use of hollow-cup machines (HCMs) with extremely low output torque ripple to achieve accurate attitude control. Conventional permanent magnet (PM) shaping methods are effective in suppressing torque ripple. However, they pose challenges such as magnetization difficulty and mechanical strength reduction. This paper proposes an inner rotor harmonic shaping (IRHS) method to reduce the torque ripple and avoid the defects of shaped PMs. This method is based on the adjustment effect of air-gap permeance harmonic injection on the air-gap flux density harmonics. To further explore the advantages of this method, this paper compares it with several PM shaping methods. A total of five machine topologies are considered, and their electromagnetic characteristics are comprehensively analyzed and compared. The proposed method reduces the torque ripple by 87% compared to conventional HCMs. Meanwhile, the comparison with several PM shaping methods shows that the IRHS achieves a 3% to 6% increase in the average torque and a 10% to 12% reduction in the PM loss while obtaining a comparable torque ripple. Finally, two prototype machines are manufactured and experimentally validated. © 1972-2012 IEEE.

关键词： Electromagnetic characteristics hollow-cup machines (HCMs) inner rotor harmonic shaping (IRHS) permanent magnet (PM) shaping torque ripple suppression

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Oral Cancer Classification Using a Hybrid Attention-Aided Deep Learning Model 5th

Oral Cancer Classification Using a Hybrid Attention-Aided D...

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5th International Conference on Medical Imaging and Computer Aided Diagnosis, MICAD 2024

作者： Dutta, Srinjan Roy, Jibesh Mandal, Diptarka Kaplun, Dmitrii Shpakovskaya, Irina Sarkar, Ram Department of Computer Science and Engineering Jalpaiguri Government Engineering College Jalpaiguri India School of Computer Engineering and Mathematical Sciences Defence Institute of Advanced Technology Pune India Artificial Intelligence Research Institute China University of Mining and Technology Xuzhou China Department of Automation and Control Process Saint Petersburg Electrotechnical University "LETI" Saint Petersburg Russia Department of Computer Science and Engineering Jadavpur University West Bengal Kolkata India I.P. Pavlov Saint Petersburg First State Medical University St. Petersburg Russia

ISBN: (纸本)9789819638628

Oral cancer remains a critical global health challenge, characterized by high morbidity and mortality due to late-stage diagnosis. This paper addresses the need for improved diagnostic accuracy by introducing a novel hybrid-attention aided deep learning model for oral cancer classification. Our approach integrates the EfficientNetB0 model for feature extraction with a customized hybrid attention module, combining self, spatial, and soft attention mechanisms to emphasize crucial features. The model has been trained and evaluated on both microscopic and macroscopic oral cancer datasets, demonstrating its generalizability. Our proposed model achieves an accuracy of 96.97% on a macroscopic dataset and 92% on a microscopic dataset, with respective F1-scores of 0.97 and 0.89, outperforming baseline models. This hybrid attention-aided deep learning model shows significant potential in improving early detection and treatment planning of oral cancer. Source code and additional results of this work can be found at the GitHub repository. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Contrastive Learning

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Aggregation Modeling of System Frequency Response Under Inertia control of Grid-following Direct-drive Wind Turbine

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Dianli Xitong Zidonghua/automation of Electric Power Systems 2025年第10期49卷 39-48页

作者： Jiang, Chao Yang, Dongfeng Guo, Shujia Liu, Xiaojun Zhou, Shuyu Cao, Zhichong Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China School of Automation and Electrical Engineering Zhejiang University of Science and Technology Hangzhou310023 China State Grid Jilin Electric Power Research Institute Changchun130000 China

The inertia control of grid-following direct-drive wind turbines significantly influences the system frequency response pattern afrer disturbances. However, current research has not clearly identified the dominant response link of direct-drive wind turbines in frequency regulation, while the modeling is too complicated to be suitable for frequency characteristic analysis. Therefore, the linearized models under inertia control are derived for two typical types of direct-drive wind turbines according to the aerodynamic equations, generator models, power control link, and control circuit structure. The fast physical process of current control-boost circuit/stator voltage dynamic loop is clearly understood and reasonably ignored. It is revealed that the two types of direct-drive wind turbines have a common frequency response mechanism which can be described as the cascade effect of the speed regulator-wind rotor motion equation. Furthermore, combined with the frequency response model of synchronous unit, the aggregation model of system frequency response under the inertia control of grid-following direct-drive wind turbines is constructed, and the aggregation model is reduced to a second-order model by the balance truncation method for analytical calculation of frequency extremes. The accuracy and applicability of the aggregation model and its reduced-order model are verified by MATLAB/Simulink simulation, and the influence of control parameters and system states on frequency dynamic characteristics and stability margin is analyzed. © 2025 automation of Electric Power Systems Press. All rights reserved.

关键词： Electric power system control

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