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IEEE Transactions on Artificial Intelligence 2023年第5期4卷 1214-1224页

作者： Zhang, Tengfei Ma, Fumin Peng, Chen Yu, Yang Yue, Dong Dou, Chunxia O'Hare, Gregory M. P. Nanjing University of Posts and Telecommunications College of Automation College of Artificial Intelligence The Jiangsu Engineering Laboratory of Big Data Analysis and Control for Active Distribution Network Nanjing210023 China Nanjing University of Finance and Economics College of Information Engineering Nanjing210023 China Shanghai University School of Mechatronic Engineering and Automation Shanghai200072 China Nanjing University of Posts and Telecommunications Institute of Advanced Technology Nanjing210023 China Trinity College Dublin School of Computer Science and Statistics Dublin 2 Ireland

Photovoltaic (PV) power is progressively being subsumed into power grids. As a consequence, reliable PV power forecasting has become essential in order to ensure the optimal functioning of the power grid. Neural networks remain the dominant prediction model utilized. Conventional neural network forecasting models are wholly dependent upon offline data. Subsequent to offline training, no further structural adjustments can be made during the forecasting process, which therefore they fail to cater for PV power supply fluctuations that are fundamentally dynamic. To address this failing, this article proposes a very-short-term online prediction model based on a resource-allocating network (RAN) incorporating a secondary dynamic adjustment. The RAN is initially trained offline to obtain a basic forecasting model. Thereafter, in an online prediction process, those samples with large prediction errors that exceed a preset value are recorded in a specific buffer. When the set conditions are triggered, the secondary dynamic adjustment strategy is employed, which enables the online prediction model to effectively relearn previously unmodeled samples while shielding external interference. Experimental results obtained from actual testing demonstrate the validity of the secondary dynamic adjustment strategy for online learning while also providing higher accuracy levels from the prediction model. © 2020 IEEE.

关键词： Forecasting

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Anomaly Detection for Aircraft Based on Multivariate LSTM and Predictive Residual Test 2

Anomaly Detection for Aircraft Based on Multivariate LSTM an...

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2nd International Conference on automation, Robotics and Computer engineering, ICARCE 2023

作者： Zhang, Chaoqi Wei, Wu Zhou, Gongcheng Xiang, Gang Lin, Ruishi Cui, Langfu Li, Dongpeng Peng, Yu Yu, Guizhen School of Transportation Science and Engineering Beihang University Beijing China School of Automation Science and Electrical Engineering Beihang University Beijing China Beijing Aerospace Automatic Control Institute Beijing China Beihang University Beijing China

ISBN: (纸本)9798350308341

With the increasing complexity and high reliability requirements of aircraft, researching more accurate anomaly detection methods and real-time monitoring of aircraft status is of great significance for ensuring equipment safety. This paper proposes a method based on multivariate LSTM and residual testing for anomaly detection in high-dimensional complex data. Firstly, by utilizing maximum mutual information to analyze the correlation of multidimensional data, a multivariate LSTM model is established based on high correlation parameters to predict the parameters. Then, combined with the idea of statistical hypothesis testing, test the statistical distribution of residuals on the training data of the prediction model using Kolmogorov-Smirnov method, and the dynamic threshold for anomaly detection is obtained through significance testing. Finally, real-time calculation of residuals between online monitoring data and predicted values is calculated, and anomaly detection is achieved by comparing the residual with threshold. The method proposed in this paper exhibits excellent anomaly detection performance on real flight data of aircraft. © 2023 IEEE.

关键词： Anomaly detection

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A novel strategy to solve communication constraints for formation control of multi-AUVs

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Science China(Information Sciences) 2021年第7期64卷 253-255页

作者： Zhenyu GAO Ge GUO Department of Automation Dalian Maritime University School of Control Engineering Northeastern University Qinhuangdao Key Laboratory of Synthetical Automation for Process Industries Northeastern University

Dear editor,Interest in terms of research on formation control of multiple autonomous underwater vehicles (multi-AUVs) has gained considerable attention in recent years [1–5], owing to its extensive applications in d... 详细信息

关键词： event-triggered fixed-time stable velocity observer formation control autonomous underwater vehicles

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Automatic Measurement of Structural Parameters of Irregular Slender Strip with Bifurcated Crack Based on Morphology 43

Automatic Measurement of Structural Parameters of Irregular ...

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43rd Chinese control Conference, CCC 2024

作者： Zeng, Fanlin Xiang, Qiulin Tianjin University of Technology and Education School of Automation and Electrical Engineering Tianjin300222 China Tianjin University of Technology and Education Tianjin Key Laboratory of Information Sensing and Intelligent Control Tianjin300222 China

ISBN: (纸本)9789887581581

In this paper, an automatic measurement method for the length and width information of irregular slender strip with bifurcated structures is proposed. This method is based on morphology, performing pixel extraction and computation, and has the characteristics of fully considering structural features in the measurement process, being unaffected by bifurcation interference, and outputting quantitative measurement results. By utilizing distance transformation, skeleton extraction, topological structure construction of nodes, generation of connection graph models, calculation of the longest path, and superimposition of distance information, the length and width of irregular structures are obtained. After practical application of this method to image measurement cases, it is evident that this method can effectively obtain key structural information of irregular slender strip bifurcated structures. © 2024 Technical Committee on control Theory, Chinese Association of automation.

关键词： Musculoskeletal system

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A novel decision-making algorithm for beyond visual range air combat based on deep reinforcement learning 37

A novel decision-making algorithm for beyond visual range ai...

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37th Youth Academic Annual Conference of Chinese Association of automation, YAC 2022

作者： Jiang, Yang Yu, Jianglong Li, Qingdong Science and Technology on Aircraft Control Laboratory Beihang University School of Automation Science and Electrical Engineering Beijing China

ISBN: (纸本)9781665465366

In this paper, a novel decision-making algorithm based on deep reinforcement learning(DRL) is proposed for the decision-making problem in beyond visual range(BVR) air combat. Firstly, the relative kinematics model of 1 vs 1 air combat is established, and the state space and action space of the fighter are designed. Then, a new reward function is designed according to the situation of the BVR air combat, which is suitable for a wider range of BVR confrontation scenarios, and the construction of a decision-making method based on DRL is completed. Finally, several sets of experimental data are given to verify the effectiveness of the algorithm. © 2022 IEEE.

关键词： Reinforcement learning

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Autonomous inverse encoding guides 4D nanoprinting for highly programmable shape morphing

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International Journal of Extreme Manufacturing 2025年第3期7卷 467-482页

作者： Shuaiqi Ren Zhiang Zhang Ruokun He Jiahao Fan Guangming Wang Hesheng Wang Bing Han Yong-Lai Zhang Zhuo-Chen Ma Department of Automation Shanghai Jiao Tong UniversityShanghai 200240People’s Republic of China Institute of Medical Robotics School of Biomedical EngineeringShanghai Jiao Tong UniversityShanghai 200240People’s Republic of China State Key Laboratory of Integrated Optoelectronics College of Electronic Science and EngineeringJilin UniversityChangchun 130012People’s Republic of China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai 200240People’s Republic of China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai 200240People’s Republic of China Department of Engineering University of CambridgeCambridge CB21PZUnited Kingdom

Highly programmable shape morphing of 4D-printed micro/nanostructures is urgently desired for applications in robotics and intelligent ***,due to the lack of autonomous holistic strategies throughout the target shape input,optimal material distribution generation,and fabrication program output,4D nanoprinting that permits arbitrary shape morphing remains a challenging task for manual *** this study,we report an autonomous inverse encoding strategy to decipher the genetic code for material property distributions that can guide the encoded modeling toward arbitrarily pre-programmed 4D shape *** tuning the laser power of each voxel at the nanoscale,the genetic code can be spatially programmed and controllable shape morphing can be realized through the inverse encoding *** this strategy,the 4D-printed structures can be designed and accurately shift to the target morphing of arbitrarily hand-drawn lines under ***,as a proof-of-concept,a flexible fiber micromanipulator that can approach the target region through pre-programmed shape morphing is autonomously inversely encoded according to the localized spatial *** strategy may contribute to the modeling and arbitrary shape morphing of micro/nanostructures fabricated via 4D nanoprinting,leading to cutting-edge applications in microfluidics,micro-robotics,minimally invasive robotic surgery,and tissue engineering.

关键词： femtosecond laser fabrication 4D printing two-photon polymerization autonomous inverse encoding stimuli-responsive materials

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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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Tracking performance limitations of networked control systems with packet dropouts and logarithmic quantization 41

Tracking performance limitations of networked control system...

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第41届中国控制会议

作者： Jianhao Li Xiaowei Jiang Hao Chen Shaoying Wang Xianhe Zhang School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation of Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Fujian Provincial Key Laboratory of Intelligent Identification and Control of Complex Dynamic System College of Science Binzhou University School of Electrical Engineering and Automation Hubei Normal University

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

In this paper,we focus on the tracking performance(TP) limitations of networked control systems(NCS s).The control system considered is a multi-input and multi-output(MIMO) discrete-time network control system with time delay,channel noise,packet dropouts,and logarithmic quantization communication *** modeling the channel,we assumed the channel noise to be additive white Gaussian noise(AWGN) and used a binary random process to model packet dropouts and a logarithmic quantizer to model the quantization *** explicit expression of the TP limitations of NCSs utilizing the two-degree-of-freedom(TDOF) controller is then derived using the frequency-domain approach,coprime decomposition,and Youla parameterization *** results show that the essential characteristics of the plant(locations and directions of nonminimum phase zeros and unstable poles) and network constraints(time delay,packet dropouts,quantization,and noise power spectral density) are closely related to the TP limitations.

关键词： Networked control systems tracking performance limitations packet dropouts logarithmic quantization

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Research on Robot Path Planning Algorithm for Filter Plate Cleaning of Plate and Frame Filter Press 4

Research on Robot Path Planning Algorithm for Filter Plate C...

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4th International Symposium on Artificial Intelligence and Intelligent Manufacturing, AIIM 2024

作者： Xu, Jie Cui, Long Zhao, Yongguo Tian, Xincheng Center for Robotics School of Control Science and Engineering Shandong University Jinan China Engineering Research Center of Intelligent Unmanned System Ministry of Education Jinan China Institute of Automation Qilu University of Technology Shandong Academy of Sciences Jinan China

ISBN: (纸本)9798331541729

Plate and frame filter press is an important solid-liquid separation equipment that plays an important role in many fields. The filter plate is one of the core components of the frame filter press, and its main function is to support the filter cloth and form a filter chamber. After the filtration process of the filter press is completed, a large number of impurities are often attached to the filter plate, so it is of great value to study the impurity cleaning problem of the filter plate of the plate and frame filter press. In this paper, aiming at the cleaning process of the filter plate of the plate and frame filter press, the image information of the filter plate is obtained by visual means, and then the image is analyzed and processed to obtain the position information of the impurities of the filter plate, the path planning of the obtained position information is carried out, and finally the robot is made to complete the cleaning task efficiently and accurately according to the planned path, which has certain practical value. © 2024 IEEE.

关键词： Robot programming

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Robust Delay-Dependent Stability for Uncertain Linear Systems with Time-Varying Delay 49

Robust Delay-Dependent Stability for Uncertain Linear System...

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49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023

作者： Chen, Dong-Shuai He, Yong Shangguan, Xing-Chen School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education China

ISBN: (纸本)9798350331820

This paper investigates the problem of stability analysis for the uncertain linear systems with time-varying delay. Firstly, an uncertain linear system model considering time-varying delay is established. Then based on the Lyapunov-Krasovskii functional (LKF) method, a novel robust delay-dependent stability criterion is proposed, which is benefited by a new augmented LKF with more effective time-delay information and the use of a tighter integral inequality to estimate functional derivative. The stability criterion obtained is less conservative. At last, a numerical example shows the superiority and effectiveness that the method used in this paper. © 2023 IEEE.

关键词： Time delay

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