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第41届中国控制会议

作者： Kai Wang Weijing Dou Haikun Wei Kanjian Zhang Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of EducationSchool of AutomationSoutheast University

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

Accurate photovoltaic power forecasting(PVPF) can ensure the stability of grid operation and the reliability of economic ***,PV power generation is greatly affected by weather conditions,thus more external information needs to be combined to improve the forecasting *** on the measured data and NWP data,this paper proposes a PSC-SVR model to forecast the intra-hour PV *** model consists of PV physical model(PSC) and support vector regression(SVR).PSC converts the irradiance as a priori feature of the model,including calculating the sun position,irradiance separation and transposition *** is used for the two-stage data fusion of NWP power modeling and power *** method was verified on 4 power stations in the public data set *** forecasting PV power in the next one hour,the average RMSE/MAE of all stations is 1.927 MW/1.167 MW,which decreases by 40%/55% compared with persistent model,6%/7% compared with NWP correction forecasting method,9%/13% and 32%/34% compared with the single measured data and single NWP *** above results show the effectiveness of our proposed model in multi-source data fusion and PV power forecasting.

关键词： Photovoltaic Power Forecasting NWP Data Fusion Physical Model Support Vector Regression

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STATE FEEDBACK STABILIZATION FOR A CLASS OF NONLINEAR TIME-DELAY systems VIA DYNAMIC LINEAR controlLERS

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Journal of systems Science & complexity 2014年第3期27卷 453-462页

作者： CHAI Lin QIAN Chunjiang School of Automation Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Southeast University Department of Electrical and Computer Engineering University of Texas at San AntonioSan AntonioTX 78249USA

The dynamic linear state feedback control problem is addressed for a class of nonlinear systems subject to ***,using the dynamic change of coordinates,the problem of global state feedback stabilization is solved for a class of time-delay systems under a type of nonhomogeneous growth *** the aid of an appropriate Lyapunov-Krasovskii functional and the adaptive strategy used in coordinates,the closed-loop system can be globally asymptotically stabilized by the dynamic linear state feedback *** growth condition in perturbations are more general than that in the existing *** correctness of the theoretical results are illustrated with an academic simulation example.

关键词： Dynamic linear controller global stabilization nonlinear time-delay systems state feed-back control.

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Multi-dimensional Taylor Network Optimal control for Tank Firing in High Speed Motion 2

Multi-dimensional Taylor Network Optimal Control for Tank Fi...

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2017 IEEE 第2届先进信息技术,电子与自动化控制国际会议(IAEAC 2017)

作者： Dong-Xiao Li Hong-Sen Yan Tao Jin School of Automation Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education

In this paper, a method of tank gun stability control system based on multi-dimensional Taylor network optimal control(MTN) is proposed. As the fact that tank itself has a strong nonlinear characteris

ISBN: (纸本)9781467389808

关键词： Weapons Roads Prototypes Stability analysis PI control PD control

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Fault Localization and State Estimation of Power Grid under Parallel Cyber-Physical Attacks

arXiv

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arXiv 2025年

作者： Ren, Junhao Zhao, Kai Zhang, Guangxiao Liu, Xinghua Zhai, Chao Xiao, Gaoxi School of Electrical and Electronic Engineering Nanyang Technological University Singapore639798 Singapore Institute of Catastrophe Risk Management Nanyang Technological University Singapore639798 Singapore Future Resilient Systems Singapore-ETH Centre Singapore138602 Singapore School of Electrical Engineering Xi’an University of Technology Xi’an710048 China Wuhan430074 China 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 Wuhan430074 China

Parallel cyber-physical attacks (PCPA) refer to those attacks on power grids by disturbing/cutting off physical transmission lines and meanwhile blocking transmission of measurement data to dwarf or delay the system protection and recovery actions. Such fierce hostile attacks impose critical threats to the modern power grids when there is a fusion of power grids and telecommunication technologies. In this paper, we investigate the fault diagnosis problem of faulty transmission lines under a broader spectrum of PCPA for a linearized (or DC) power flow model. The physical attack mechanism of PCPA includes not only disconnection but also admittance value modification on transmission lines, for example, by invading distributed flexible AC transmission system (D-FACTS). To tackle the problem, we first recover the information of voltage phase angles within the attacked area. Using the information of voltage phase angle and power injection of buses, a graph attention network-based fault localization (GAT-FL) algorithm is proposed to find the locations of the physical attacks. By capitalizing on the feature extraction capability of the GAT on graph data, the fault localization algorithm outperforms the existing results when under cyber attacks, e.g., denial of service (DoS) attacks. A line state identification algorithm is then developed to identify the states of the transmission lines within the attacked area. Specifically, the algorithm restores the power injection of buses within the attacked area and then identities the state of all the transmission lines within the attacked area by solving a linear programming (LP) problem. Experimental simulations are conducted on IEEE 30/118 bus standard test cases to demonstrate the effectiveness of the proposed fault diagnosis algorithms. Copyright © 2025, The Authors. All rights reserved.

关键词： Cyber attacks

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Interaction Torque Estimation for Robotic Manipulators under Low-Speed Condition 41

Interaction Torque Estimation for Robotic Manipulators under...

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第41届中国控制会议

作者： Yufeng He Wenwu Zhu Linyan Han Shihua Li School of Automation Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

This paper studies the interaction torque estimation method of the rigid robotic manipulator under the low-speed ***,a nonlinear friction model is established to analysis the influence of *** the noise into consideration,a least square identification method is ***,a finite-time extended state observer is established to estimate the interaction torque,which is capable of estimating time-varying *** stability of the system is demonstrated based on the Lyapunov *** results are given to show the effectiveness of the proposed method.

关键词： Force estimation Robotic manipulator Stribeck friction Finite-time observer

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Disturbance Observer-based Pointing control of Leighton Chajnantor Telescope

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Research in Astronomy and Astrophysics 2024年第1期24卷 135-150页

作者： Weirui Chen Zheng Wang School of Automation Southeast UniversityNanjing 210096China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of EducationSoutheast UniversityNanjing 210096China

Leighton Chajnantor Telescope(LCT), i.e., the former Caltech Submillimeter Observatory telescope, will be refurbished at the new site in Chajnantor Plateau, Chile in 2023. The environment of LCT will change significantly after its relocation, and the telescope will be exposed to large wind disturbances directly because its enclosure will be completely open during observation. The wind disturbance is expected to be a challenge for LCT's pointing control since the existing control method cannot reject this disturbance very well. Therefore, it is very necessary to develop a new pointing control method with good capability of disturbance rejection. In this research, a disturbance observer—based composite position controller(DOB-CPC) is designed, in which an H∞feedback controller is employed to compress the disturbance, and a feedforward linear quadratic regulator is employed to compensate the disturbance precisely based on the estimated disturbance signal. Moreover, a controller switching policy is adopted, which applies the proportional controller to the transient process to achieve a quick response and applies the DOB-CPC to the steady state to achieve a small position error. Numerical experiments are conducted to verify the good performance of the proposed pointing controller(i.e., DOB-CPC) for rejecting the disturbance acting on LCT.

关键词： instrumentation:miscellaneous methods:analytical methods:numerical telescopes

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Continuous Non-Singular Terminal Sliding Mode control for High Pressure Common Rail systems Using a FTDO 41

Continuous Non-Singular Terminal Sliding Mode Control for Hi...

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第41届中国控制会议

作者： Zheng Yuan Chen Dai Hao Sun Shihua Li School of Automation Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

High pressure common rail(HPCR) technology has been widely applied in diesel *** tracking speed and the steady-state fluctuations of the rail pressure determine the performance of the HPCR *** this paper,the fuel injection disturbance which has a main impact on rail pressure fluctuations is fully *** on fluid dynamics and Newtonian mechanics,a nonlinear model of the HPCR system is *** order to suppress the fuel injection disturbance,a finitetime disturbance observer(FTDO) based continuous non-singular terminal sliding mode controller(CNTSMC+FTDO) is designed based on the three-step analysis *** is proved that the system tracking error can converge to the equilibrium point in a finite ***,a group of simulations and experiments are conducted in Simulink and the more realistic AMESim environment respectively and the results verify the effectiveness and feasibility of the proposed algorithm.

关键词： High pressure common rail Non-singular terminal sliding mode FTDO Rail pressure control AMESim

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Robotic Etiquette:Socially Acceptable Navigation of Service Robots with Human Motion Pattern Learning and Prediction

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Journal of Bionic engineering 2010年第2期7卷 150-160页

作者： Kun Qian,Xudong Ma,Xianzhong Dai,Fang Fang key Lab of measurement and control of complex systems of engineering (Ministry of Education,China), Southeast University,Nanjing 210096,P.R.China [a] Key Lab of Measurement Control of Complex Systems of Engineering (Ministry of Education China) Southeast University Nanjing 210096 P. R. China

Nonverbal and noncontact behaviors play a significant role in allowing service robots to structure their interactions *** this paper, a novel human-mimic mechanism of robot’s navigational skills was proposed for developing sociallyacceptable robotic *** on the sociological and physiological concerns of interpersonal interactions in movement,several criteria in navigation were represented by constraints and incorporated into a unified probabilistic cost grid for safemotion planning and control, followed by an emphasis on the prediction of the human’s movement for adjusting the robot’spre-collision navigational *** human motion prediction utilizes a clustering-based algorithm for modeling humans’indoor motion patterns as well as the combination of the long-term and short-term tendency prediction that takes into accountthe uncertainties of both velocity and heading *** simulation and real-world experiments verified the effectivenessand reliability of the method to ensure human’s safety and comfort in navigation.A statistical user trials study was also given tovalidate the users’favorable views of the human-friendly navigational behavior.

关键词： robotic etiquette navigation human motion prediction human-robot interaction service robot

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Extended State Observer Based Adaptive control Scheme for PMSM System 33

Extended State Observer Based Adaptive Control Scheme for PM...

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第三十三届中国控制会议

作者： Li Xiaodi Li Shihua School of Automation Southeast University Key laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education

ISBN: (纸本)9781479947249

In this paper, the speed regulation problem for permanent magnet synchronous motor(PMSM) systems under vector control framework is studied. A modified composite control strategy combining model reference adaptive control(MRAC)method and extended state observer(ESO) technology, called MRAC+ESO method, is proposed. controller is designed for the speed loop of the permanent magnet synchronous motor(PMSM) to improve the performance of the system. The stability analysis, simulation and experimental results are presented to show the effectiveness of the proposed control method.

关键词： Model reference adaptive control(MRAC),Permanent magnet synchronous motor(PMSM),Speed regulation system,Extended state observer(ESO),Composite controller

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A Hybrid Data-Driven Granular Model for Battery Remaining Useful Life Prediction

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IEEE Transactions on Instrumentation and measurement 2025年 74卷

作者： Jing, TaiLong Du, Sheng Wang, Cong Wu, Chao Pedrycz, Witold Sharaf, Mohamed Li, ZhiWu Luoyang Institute of Science and Technology School of Electrical Engineering and Automation Luoyang471023 China China University of Geosciences School of Automation Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan430074 China Xi’an710072 China University of Alberta Department of Electrical and Computer Engineering EdmontonABT6G 2R3 Canada Systems Research Institute Polish Academy of Sciences Warsaw00-901 Poland King Saud University College of Engineering Department of Industrial Engineering Riyadh11421 Saudi Arabia Institute of Systems Engineering Macau University of Science and Technology Macau China

Accurate and meaningful prediction of the remaining useful life (RUL) of lithium-ion batteries (LIBs) provides a significant guide for the maintenance and management of these LIBs. A singular numerical predictive result by numerous conventional models is insufficient to furnish decision-makers with comprehensive or nuanced insights. To address this issue, predictive RUL results in the form of information granules are essential. In this study, a hybrid data-driven granular model is established for battery RUL prediction with granular (interval-based) quantification for LIBs. This granular model is designed and formulated in a way that it produces comprehensive prediction outcomes realized as information granules, which are expressed in a more descriptive and comprehensive manner. Thus, the resulting information granules can effectively reflect and communicate the confidence associated with the predictions. The granular model is realized in two steps: 1) probabilistic prediction results are produced by a hybrid numeric predictive model and 2) a comprehensive granulation of the probabilistic results is achieved under the principle of information granularity. The granular predictive results are holistically evaluated and optimized by the two associated criteria of granularity (coverage and specificity). This transformation of information granules provides an intuitive and interpretable display for battery maintenance and safe work. The proposed granular model is verified by using an open-access LIBs dataset, and the experimental results demonstrate that the proposed granular model outperforms other comparative methods. © 2025 IEEE. All rights reserved.

关键词： Prediction models

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