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7th International Conference on Information Science and control engineering, ICISCE 2020

作者： Li, Yaqian Lei, Ya Wu, Chao Li, Haibin Yanshan University Key Laboratory of Industrial Computer Control Engineering of Hebei Province Qinhuangdao China

ISBN: (纸本)9781728164069

In this paper, an algorithm is proposed to improve expression recognition by combining reconstructed residuals of local and global information. Firstly, positional relation is introduced into local binary features encoding, and a non-negative matrix decomposition method with sparse correlation constraints is employed to perform reducing of dimension. Then, the features are encoded by bag-of-words model to form local features. Secondly, a discrete wavelet transform is used to emphasis on expression information and extract expression-enhanced global features. Thirdly, collaboration Represents is used to calculate local partial reconstruction residuals and is combined with global reconstruction residuals to construct the final residual to be classified at the decision level. Experiments on Jaffe, TEFID and CK+ data sets prove the effectiveness of the proposed algorithm. © 2020 IEEE.

关键词： Discrete wavelet transforms

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Event-Triggered Fault-tolerant Model Predictive control of Nonlinear Multi-agent System with Time Delay and Parameter Uncertainty

Event-Triggered Fault-tolerant Model Predictive Control of N...

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第40届中国控制会议

作者： Linglong Wang Jianxiong Li Xinjian Liu Yiming Fang Research Center of the Ministry of Education for Intelligent Control System and Intelligent Equipment Yanshan University The Key Lab of Industrial Computer Control Engineering of Yanshan University

This paper proposes a compound control method combining with robust model predictive control(RMPC) method and the event-triggered mechanism for a class of nonlinear multi-agent system(NMAS) with time delay, uncertainties, actuator faults and input constraints. Specifically, at each sampling time, the control action is calculated by solving an online constrained optimization problem,using Lyapunov-Krasovskii functions to design state feedback control laws to ensure that the consensus error of the NMAS tends to zero and the event-triggered mechanism can save communication resources. Finally, the effectiveness of the proposed event-triggered fault-tolerant RMPC method is verified by an example.

关键词： robust model predictive control fault-tolerant control non-linear multi-agent system event-triggered mechanism

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Actuator Fault Estimation Based On Adaptive Iterative Learning Algorithm For Nonlinear Periodic Systems

Actuator Fault Estimation Based On Adaptive Iterative Learni...

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第40届中国控制会议

作者： Ya-qi Liu Yi-ming Fang Le Liu Xing-da Li Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Engineering Research Center of the Education Ministry for Intelligent Control System and Intelligent Equipment Yanshan University

A actuator fault estimation algorithm based on adaptive iterative learning is proposed for a class of nonlinear periodic systems with actuator fault and ***,the proposed method designs a state observer and a fault estimator based on adaptive iterative *** Lyapunov stability theory and the optimization theory are employed to prove the convergence of the *** the LMI toolbox is utilized to obtain the results of the observer gain matrix and fault estimator parameter *** method combines the iterative learning strategy with the adaptive algorithm,and utilizes not only the state error signals of the last iteration learning,but also the output error signals of this *** makes the estimated fault approximate to the real fault gradually and realizes the accurate estimation of the time-varying fault and the intermittent ***,the validity and accuracy of the proposed method are verified by the simulation of a single-link robotic arm mold.

关键词： Iterative learning scheme Adaptive algorithm Fault estimation Actuator fault Linear matrix inequality

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Analysis of Moving Target Defense in Unbalanced and Multiphase Distribution Systems Considering Voltage Stability

Analysis of Moving Target Defense in Unbalanced and Multipha...

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2021 IEEE International Conference on Communications, control, and Computing Technologies for Smart Grids, SmartGridComm 2021

作者： Liu, Mengxiang Zhao, Chengcheng Zhang, Zhenyong Deng, Ruilong Cheng, Peng College of Control Science and Engineering Zhejiang University State Key Lab. of Industrial Control Technology Hangzhou China College of Computer Science and Technology Guizhou University State Key Lab. of Public Big Data Guiyang China

ISBN: (纸本)9781665415026

Moving Target Defense (MTD) is a new technology to defend against the false data injection attack (FDIA) on distribution system state estimation (DSSE). It works by proactively perturbing the branch reactance. However, due to the challenges induced by the nonlinear dynamics and the coupling phases in the three-phase AC DSSE model, the analysis on the effectiveness and hiddenness of MTD, which are two essential performance metrics, has not yet been conducted. In this paper, we attempt to optimize the effectiveness and hiddenness of MTD while considering voltage stability. Firstly, we quantify the two metrics with approximated measurement residuals. Based on the quantified metrics, we formulate an optimization problem to maximize the effectiveness with guaranteed hiddenness and ensure voltage stability by minimizing the voltage variation induced by MTD. The original problem is transformed to a polynomial optimization problem based on the observation that the alteration of the projection matrix caused by reactance perturbation is neglectable, such that the near-optimal result can be obtained. Finally, extensive simulations are conducted on the IEEE 13-bus test feeder to evaluate the performance of the proposed MTD. © 2021 IEEE.

关键词： Network security

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Sensor Fault Detection in nonlinear system using Adaptive Weighted Fusion Algorithm

Sensor Fault Detection in nonlinear system using Adaptive We...

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第40届中国控制会议

作者： Fan Qin Shu-ya Yan Yi-ming Fang Jian-xiong Li Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Research Center of the Ministry of Education for Intelligent Control System and Intelligent Equipment Yanshan University

In view of the problem that the state estimation contains fault values when detecting sensor faults containing noise based on the Kalman filter algorithm,a sensor fault detection method based on adaptive weighted fusion is proposed in this *** adaptive weighted fusion algorithm gives different weights to several groups of measurement output data to generate the measurement output without ***,the composite embedded cubature Kalman filter algorithm is used to get the state estimation without faults,which will make the mean or variance of the generated residuals change,so as to realize fault ***,the single-link direct drive manipulator system driven by permanent magnet brush DC motor is simulated and *** results show that,compared with the CECKF algorithm alone,the proposed method can eliminate the faults contained in the Kalman filter state estimation,and detect all the output sensor faults more effectively.

关键词： Sensor fault detection Adaptive weighted fusion State estimation Kalman filter

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A Novel Pose Estimation Method of Object in Robotic Manipulation Using Vision-Based Tactile Sensor 5th

A Novel Pose Estimation Method of Object in Robotic Manipula...

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5th International Conference on Cognitive Systems and Signal Processing, ICCSIP 2020

作者： Zhao, Dan Sun, Fuchun Zhou, Quan Wang, Zongtao Beijing National Research Center for Information Science and Technology Department of Computer Science and Technology Tsinghua University Beijing100083 China AnHui Province Key Laboratory of Special Heavy Load Robot Anhui University of Technology Ma Anshan China Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao066000 China

ISBN: (纸本)9789811623356

The computer vision techniques have been widely used in the robotic manipulation for perception and positioning. However, duo to the inaccuracy of camera calibration and measurement, there is a greatly need for more accurate method to estimate the object pose especially for robotic precise manipulation. In this paper, we propose a novel pose estimation method of object in robotic manipulation using a vision-based tactile sensor. The structure of the tactile sensor and the proposed model are introduced in detail, and verification experiments have been performed. The results show the advantages and better performance of the proposed method. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Robot vision

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Considering Vehicle-to-grid Distributed Eventtriggered Fixed-time Energy Management Strategy for Microgrids

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IEEE Transactions on Network Science and engineering 2025年

作者： Wu, Zhongqiang Zhang, Bo Yanshan University Key Laboratory of Industrial Computer Control Engineering of Hebei Province Qinhuangdao066004 China Yanshan University School of Electrical Engineering China

For the energy management problem of microgrids with vehicle-to-grid (V2G) characteristics of electric vehicles (EVs), a distributed event-triggered fixed-time optimization algorithm is proposed which effectively reduces the operating costs of the microgrid and the dissatisfaction rate of EV users with charging. The fixed-time optimization being used, the global optimal power output of the power generation unit and optimal power consumption for EV users are achieved quickly within a fixed time. The upper limit of convergence time of algorithm can be accurately calculated as it is independent of the initial conditions of the system. It facilitates the adjustment of power and energy storage strategies timely based on actual conditions, providing more flexibility for the system. In order to reduce the communication cost among the power generation units, a distributed event-triggered algorithm is proposed meanwhile, in which the change error of power is used as an event trigger mechanism. Compared to centralized event-triggered, it has not central controller, thereby the internal information exchanges within the microgrid are effectively reduced and the communication costs are effectively lowered. Rigorous proofs of the convergence and no-Zeno behavior of the algorithm are provided. Finally, numerical simulations in the IEEE 6-Bus systems are provided to validate the effectiveness of the proposed algorithm. © 2013 IEEE.

关键词： Energy supply

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Phase-Based Quantification of Sports Performance Metrics Using a Smart IoT Sensor

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IEEE Internet of Things Journal 2023年第18期10卷 15900-15911页

作者： Chen, Meng Szu, Hui Fang Lin, Hsin Yen Liu, Yifan Chan, Ho-Yin Wang, Yufan Zhao, Yuliang Zhang, Guanglie Yao, Jeffrey Da-Jeng Li, Wen Jung National Tsing Hua University Physical Education Office Hsinchu City300 Taiwan Kla Corporation Tainan City744 Taiwan Michigan State University Department of Electronic and Computer Engineering East LansingMI48824 United States Shanghai Jiao Tong University School of Mechanical Engineering Department of Industrial Engineering and Management Shanghai200240 China Northeastern University at Qinhuangdao Hebei Key Lab. of Micro-Nano Prec. Optical Sensing and Msrmt. Technol. Sch. of Control Engineering Qinhuangdao066004 China City University of Hong Kong Department of Mechanical Engineering Kowloon Tong Hong Kong City University of Hong Kong Shenzhen Research Institute CASŰCityU Joint Laboratory for Robotics Shenzhen518057 China National Tsing Hua University Department of Power Mechanical Engineering Hsinchu City300 Taiwan

Sports performance is often judged based on the results of a series of motions rather than observing and analyzing the detailed sequential motions that lead to the results. Hence, subjective feedback from the coaches is often ineffective in improving player performance. In this work, we custom-built a smart Internet of Things wristband motion sensor to implement data-based sports performance evaluation. A phase-based feature selection method is also proposed to assess the athletes' sequential detailed motion for selected sport activities. To demonstrate the merits of this technology, we quantified the quality of the sequential motions of a specific type of volleyball serve by analyzing 183 samples of motion data obtained from a total of 18 players. The general skill levels (i.e., elite, subelite, and amateur) of the players were identified by machine learning algorithms, with accuracies of up to 95%. Moreover, we adopted biomechanical principles to extract 11 motion-related performance metrics from various phases of the players' serve motion. We identified the distributions of these metrics across different skill levels and found eight key metrics that were highly correlated to the skill level of a players. We suggest that these metric distributions can be used as a reference for providing feedback to the coaches and players, to improve a player's skill in the future. This phased-based analysis method can potentially be applied across many sports to increase the effectiveness of athletes' training. © 2014 IEEE.

关键词： Internet of things

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An improved model predictive control method for wave energy converters

An improved model predictive control method for wave energy ...

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第40届中国控制会议

作者： Zhenchun Wang Feng Luan Nianguo Wang Hebei Key Laboratory of Industrial Computer Control Engineering Yanshan University Engineering Research Centre of the Ministry of Education for Intelligent Control System and Intelligent Equipment Yanshan University

The model accuracy and objective function complexity are key issues that remain in the realisation of model predictive control（MPC） of wave energy converters（WECs）.In this study,the viscous force is considered in a WEC model to improve model accuracy,and an improved model predictive control（IMPC） method is proposed that can reduce the quadratic programming（QP） performance requirements of the processor while maintaining a high energy conversion *** effectiveness of the IMPC method was verified through numerical simulations.

关键词： Viscous force Wave energy converters Model predictive control

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A novel multi-modal tactile sensor design using thermochromic material

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Science China(Information Sciences) 2019年第11期62卷 189-191页

作者： Fuchun SUN Bin FANG Hongxiang XUE Huaping LIU Haiming HUANG Department of Computer Science and Technology Tsinghua University Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University College of Information Engineering Shenzhen University

Tactile sensors are important for ensuring robotic perception [1], and their performance directly affects a robot’s capability for performing dexterous operations. These sensors mimic the tactile sensing capability of human hands. This is because the skin of human hands is involved in considerably meticulous works and can provide multi-

关键词： A novel multi-modal tactile sensor design using thermochromic material

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