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11th International Conference on Learning Representations, ICLR 2023

作者： Chen, Ziwei Li, Qiang Wang, Xiaofeng Yang, Wankou School of Automation Southeast University China Key Lab of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Nanjing China Y-tech Kuaishou Technology China Institute of Automation Chinese Academy of Sciences China

Human-centric perception targets for understanding human body pose, shape and ***-training the model on large-scale datasets and fine-tuning it on specific tasks has become a well-established paradigm in human-centric ***, self-supervised learning methods have re-investigated contrastive learning to achieve superior performance on various downstream *** handling human-centric perception, there still remains untapped potential since 3D human structure information is neglected during the task-agnostic *** this paper, we propose the Lifting Contrastive Learning (LiftedCL) to obtain 3D-aware human-centric representations which absorb 3D human structure *** particular, to induce the learning process, a set of 3D skeletons is randomly sampled by resorting to 3D human kinematic *** this set of generic 3D samples, 3D human structure information can be learned into 3D-aware representations through adversarial *** results demonstrate that LiftedCL outperforms state-of-the-art self-supervised methods on four human-centric downstream tasks, including 2D and 3D human pose estimation (0.4% mAP and 1.8 mm MPJPE improvement on COCO 2D pose estimation and Human3.6M 3D pose estimation), human shape recovery and human parsing. © 2023 11th International Conference on Learning Representations, ICLR 2023. All rights reserved.

关键词： Large datasets

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The Overview of Frequency Regulation Coordinated control for MMC-HVDC Connecting Wind Farms

The Overview of Frequency Regulation Coordinated Control for...

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2024 CPSS and IEEE International Symposium on Energy Storage and Conversion, CPSS and ISESC 2024

作者： Zhang, Jingyi Tian, Zhen Hua, Xiaojun Li, Weibing Jiang, Dingguo Zha, Xiaoming School of Electrical Engineering and Automation Wuhan University Laboratory of Hydro-Wind-Solar Multi-energy Control Coordination Wuhan China Institute of Science and Technology China Three Gorges Corporation Beijing China

ISBN: (纸本)9798350380514

Modular multilevel converter based high voltage direct current (MMC-HVDC) transmission is the mainstream technology for offshore wind farms with long distances of more than 80km integration. With the development of technology, the frequency stability problem due to the low inertia has become the focus of the current research. This paper systematically discusses the coordinated frequency regulation control strategy of MMC-HVDC with wind farms. The common symmetrical monopole/ bipolar MMC-HVDC system structures in engineering are first introduced. Next, The frequency regulation control for MMC-HVDC and wind farms (WFs) and the frequency sensing method used for coordination are summarized. Finally, this paper looks forward to the future research direction of MMC-HVDC connecting wind farms regarding frequency regulation capability assessment, and grid-forming fault ride-Through control. © 2024 IEEE.

关键词： Offshore wind farms

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Fault Detection for Positive Switched Systems with All Modes Unstable 6

Fault Detection for Positive Switched Systems with All Modes...

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6th International Conference on Intelligent Robotics and control engineering, IRCE 2023

作者： Su, Qingyu Fan, Zhongxin Li, Jian School of Automation Engineering Northeast Electric Power University Jilin132012 China Jilin Provincial Key Laboratory of Advanced Control Technology of Smart Energy Jilin132012 China School of Automation Southeast University Nanjing210096 China

ISBN: (纸本)9798350326338

Exponential stability, L1-gain performance and fault detection are investigated in this paper for continuous positive switched system (PSS) when there exists no stable subsystems. To eliminate the instability brought by the unstable modes ensure the exponential stbility, a time-driven switching strategy is proposed by means of the average dwell time approach. Then, the L1-gain performance for the PSS is guaranteed. Additionally, the stable filter design is converted into the L1-gain analysis. Sufficient conditions are deduced to guarantee the L1-gain performance with exponential stability in terms of linear matrices inequalities (LMIs). Finally, an example is provided to test and verify the effectiveness and practicality. © 2023 IEEE.

关键词： Lyapunov functions

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Safety-critical Stability of Switched Linear Autonomous Systems under Arbitrary Switching 63

Safety-critical Stability of Switched Linear Autonomous Syst...

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63rd IEEE Conference on Decision and control, CDC 2024

作者： Wang, Miaomiao Sun, Zhendong Academy of Mathematics and Systems Science Chinese Academy of Sciences Key Laboratory of Systems and Control Beijing100190 China Shandong University of Science and Technology College of Electrical Engineering and Automation Qingdao266590 China

ISBN: (纸本)9798350316339

Given a switched system and a safe region that is a subset of the state space, a state trajectory is safe if the whole trajectory is within the safe region. The safety-critical stability problem here is to determine the safe initial domain that is the set of initial states with safe trajectories under arbitrary switching. We prove that the safe initial domain is of full dimension iff the switched system is stable. Moreover, under the assumption that the switched system is exponentially stable and the safe region is regular, we present a computational procedure to numerically characterize the safe initial domain with the help of the newly introduced concept of 'cut-tail-points'. A numerical example is presented to verify the effectiveness of the proposed scheme. © 2024 IEEE.

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Adaptive Extended State Observer-Based Tracking control for PMSM Drive Systems With Uncertainties and Disturbances

Adaptive Extended State Observer-Based Tracking Control for ...

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2023 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2023

作者： Zhang, Zhongjin Liu, Zhitai Li, Peng Cheng, Wei Lin, Weiyang Harbin Institute of Technology Research Institute of Intelligent Control and Systems Harbin150001 China Harbin Institute of Technology Shenzhen School of Mechanical Engineering and Automation Shenzhen518055 China Devol Advanced Automation Inc Shenzhen518101 China

ISBN: (纸本)9798350327182

With the aim of improving the robust tracking performance of permanent magnet synchronous motor (PMSM) drive systems, an indirect adaptive robust control strategy based on adaptive extended state observer (AESO) is developed in this paper. Firstly, the parameter estimation process is separated from the controller design, and the indirect adaptive law driven by the system input and output is adopted to guarantee the convergence and accuracy of parameter estimation. Secondly, an AESO is established to estimate the unmodeled characteristics and disturbances in the system, and the performance of disturbance estimation and compensation is improved by dynamically adjusting the observer gain. Finally, an adaptive tracking controller is synthesized using the backstepping method, and its stability is proven using Lyapunov analysis. Simulation results demonstrate the effective performance improvement of the synthesized controller for tracking control. © 2023 IEEE.

关键词： controllers

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Differentially Private Distributed Parameter Estimation

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Journal of Systems Science & Complexity 2023年第1期36卷 187-204页

作者： WANG Jimin TAN Jianwei ZHANG Ji-Feng School of Automation and Electrical Engineering University of Science and Technology BeijingBeijing 100083China Key Laboratory of Systems and Control Institute of Systems ScienceAcademy of Mathematics and Systems ScienceChinese Academy of SciencesBeijing 100190China School of Mathematical Sciences University of Chinese Academy of SciencesBeijing 100049China

Data privacy is an important issue in control systems,especially when datasets contain sensitive information about *** this paper,the authors are concerned with the differentially private distributed parameter estimation problem,that is,we estimate an unknown parameter while protecting the sensitive information of each ***,the authors propose a distributed stochastic approximation estimation algorithm in the form of the differentially private consensus+innovations(DP-CI),and establish the privacy and convergence property of the proposed ***,it is shown that the proposed algorithm asymptotically unbiased converges in mean-square to the unknown parameter while differential privacy-preserving holds for finite number of ***,the exponentially damping step-size and privacy noise for DP-CI algorithm is *** estimate approximately converges to the unknown parameter with an error proportional to the step-size parameter while differential privacy-preserving holds for all *** tradeoff between accuracy and privacy of the algorithm is effectively ***,a simulation example is provided to verify the effectiveness of the proposed algorithm.

关键词： Differential privacy distributed parameter estimation stochastic approximation

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Temporal-spatial dynamic characteristics of vehicle emissions on intercity roads in Guangdong Province based on vehicle identity detection data

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Journal of Environmental Sciences 2023年第8期130卷 126-138页

作者： Hui Ding Yongming Zhao Shenhua Miao Tong Chen Yonghong Liu College of Automation&College of Artifical Intelligence Nanjing University of Posts and TelecommunicationsNanjing 210023China School of Intelligent Systems Engineering Sun Yat-Sen UniversityGuangzhou 510275China Guangdong Provincial Key Laboratory of Intelligent Transport System Guangzhou 510275China Guangdong Provincial Engineering Research Center for Traffic Environmental Monitoring and Control Guangzhou 510275China

Estimating intercity vehicle emissions precisely would benefit collaborative control in multiple *** the variability of emissions caused by vehicles,roads,and traffic,the 24-hour change characteristics of air pollutants(CO,HC,NO_(X),PM_(2.5))on the intercity road network of Guangdong Province by vehicle categories and road links were revealed based on vehicle identity detection data in real-life traffic for each hour in July *** results showed that the spatial diversity of emissions caused by the unbalanced economywas *** vehicle emissions in the Pearl River Delta region(PRD)with a higher economic level were approximately 1–2 times those in the non-Pearl RiverDelta region(non-PRD).Provincial roads with high loads became potential sources of high ***,emission control policies must emphasize the PRD and key roads by travel guidance to achieve greater *** passenger cars with a large proportion of traffic dominated morning and evening peaks in the 24-hour period and were the dominant contributors to CO and HC emissions,contributing more than 50%in the daytime(7:00–23:00)and higher than 26%at night(0:00–6:00).Diesel trucks made up 10%of traffic,but were the dominant player at night,contributed 50%–90%to NO_(X) and PM_(2.5) emissions,with amarked 24-hour change rule of more than 80%at night(23:00–5:00)and less than 60%during ***,targeted control measures by time-section should be set up on collaborative *** findings provide time-varying decision support for variable vehicle emission control on a large scale.

关键词： Intercity roads Dynamic vehicle emissions Vehicle identity detection data Diesel trucks

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Effective distributed algorithm for solving linear matrix equations

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Science China(Information Sciences) 2023年第8期66卷 265-266页

作者： Songsong CHENG Jinlong LEI Xianlin ZENG Yuan FAN Yiguang HONG Anhui Engineering Laboratory of Human-Robot Integration System and Intelligent Equipment School of Electrical Engineering and Automation Anhui University Department of Control Science and Engineering Tongji University Key Laboratory of Intelligent Control and Decision of Complex Systems School of AutomationBeijing Institute of Technology

Dear editor,Solving linear matrix equations is a basic and important problem in many fields such as the computation of generalized inverses of matrices and(generalized) Sylvester equations. Also, the linear algebraic ...

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A Causal Fusion Inference Method for Industrial Alarm Root Cause Analysis Based on Process Topology and Alarm Event Data

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Journal of Beijing Institute of Technology 2022年第4期31卷 371-381页

作者： Pan Zhang Wenkai Hu Xiangxiang Zhang Jianqi An School of Automation China University of GeosciencesWuhan 430074China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan 430074China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of EducationWuhan 430074China

Modern industrial systems are usually in large scale,consisting of massive components and variables that form a complex system *** to the interconnections among devices,a fault may occur and propagate to exert widespread influences and lead to a variety of *** the root causes of alarms is beneficial to the decision supports in making corrective alarm *** data-driven methods for alarm root cause analysis detect causal relations among alarms mainly based on historical alarm event *** improve the accuracy,this paper proposes a causal fusion inference method for industrial alarm root cause analysis based on process topology and alarm events.A Granger causality inference method considering process topology is exploited to find out the causal relations among *** topological nodes are used as the inputs of the model,and the alarm causal adjacency matrix between alarm variables is obtained by calculating the likelihood of the topological Hawkes *** root cause is then obtained from the directed acyclic graph(DAG)among alarm *** effectiveness of the proposed method is verified by simulations based on both a numerical example and the Tennessee Eastman process(TEP)model.

关键词： roots cause analysis causality inference process topology alarm events

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Persistent Coverage in Non-Convex Environments with Heterogeneous Robotic Networks: Constraint-based Approach ⋆

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IFAC-PapersOnLine 2023年第2期56卷 10708-10714页

作者： J.G. Martin T. Hatanaka J.M. Maestre E.F. Camacho Department of Systems and Automation Engineering University of Seville Spain Department of Systems and Control Engineering Tokyo Institute of Technology

In this paper, we extend a constraint-based coverage control for robotic sensor networks based on control barrier functions (CBFs) for environments with known obstacles and different types of unmanned vehicles (UV). To this end, we use a sensing function that considers the vertices of the obstacles to compute the route and the distance regarding the UVs. This way, obstacle avoidance becomes intrinsic to the CBF ensuring the coverage performance. Moreover, we consider different obstacles and speeds for each type of UV. Finally, the proposed algorithm is illustrated with a heterogeneous fleet of UVs and obstacles in a simulated thermosolar power plant.

关键词： Coordination of multiple vehicle systems Graph-based methods for networked systems Networked robotic systems control barrier function (CBF) coverage control obstacles non-convex area

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