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37th Chinese control Conference, CCC 2018

作者： Yuan, Zhenyu Dong, Kaifeng Zhu, Laizhe Song, Junlei Iin, Fang Mo, Wenqin School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China

ISBN: (纸本)9789881563941

With the application of magnetic thin films becoming more and more widespread, people pay more and more attention to the performance characterization. In order to obtain a magnetic film with a specific performance, it is very important to judge the quality of the magnetic film and measure the magnetic properties of the film. However, with the increase of the film preparation process, the thickness of the prepared film is getting thinner and the magnetic moment signal contained therein is also decreased. This brings a certain degree of difficulty to the traditional measurement methods. For example, the VSM system that obtains the hysteresis loop by measuring the magnetic moment signal has become somewhat inadequate for the measurement of ultra-thin films. In order to solve this issue, a new method based on anomalous Hall effect is introduced in this paper. The test system of this system adopts the four-probe measuring method, a constant current is applied across the surface of the film sample, and the abnormal Hall voltage is measured at the other two ends. The R-H curve of the sample can be obtained through calculation. As compared to VSM measurement, this method is simpler and stable, more accurate, which can greatly reduce the anomalous Hall-effect device R-H characteristic measurement cost. © 2018 Technical Committee on control Theory, Chinese Association of automation.

关键词： Magnetic moments

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Disturbance rejection control of DFIG-based stand-alone wind energy conversion system based on equivalent-input-disturbance approach 8

Disturbance rejection control of DFIG-based stand-alone wind...

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8th International Symposium on Computational Intelligence and Industrial Applications and 12th China-Japan International Workshop on Information Technology and control Applications, ISCIIA and ITCA 2018

作者： Li, Danyun Wu, Xiaofang Yin, Xiang Yang, Dongming Ding, Min School of Automation China University of Geoscience Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China

This study employed equivalent-input-disturbance (EID) approach to devise a control system for the rotor-side converter (RSC) of doubly fed induction generator (DFIG). It effectively suppresses the magnitude and/or frequency disturbances of the output voltage so that the power quality can meet the electric standard. The stator flux of DFIG is controlled through adjusting the exciting current to realize the indirect control of the output voltage. The inner loop of the control system consists of a state observer and a disturbance compensator. The state observer estimates the disturbances caused by the various changes including loads, wind speed and system parameters, which then be compensated by the disturbance compensator incorporating the EID into the control law. The outer loop consists of an internal model and a state-feedback controller that enables the output voltage of RSC to track the instantaneous reference stator flux. The small-gain theorem ensures the stability of the system. The effectiveness of the proposed control system has been validated by the simulation results. © ISCIIA and ITCA 2018 - 8th International Symposium on Computational Intelligence and Industrial Applications and 12th China-Japan International Workshop on Information Technology and control Application.

关键词： Disturbance rejection

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Finite-Time H∞ state estimation for discrete time-delayed stochastic switched genetic regulatory networks with uncertain sojourn probabilities 37

Finite-Time H∞ state estimation for discrete time-delayed s...

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37th Chinese control Conference, CCC 2018

作者： Chuanyu, Ren Xiongbo, Wan School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China

ISBN: (纸本)9789881563941

This paper investigates the problem of finite-time H∞ state estimation for discrete-time stochastic switched genetic regulatory networks (GRNs) with time-varying delays and exogenous disturbances. A new discrete time-delayed stochastic switched GRN model with uncertain sojourn probabilities is devised, which is more general than the switched GRNs model with completely known sojourn probabilities. The sufficient conditions which guarantee the stochastic finite-time boundedness of the estimation error dynamics with a prescribed H∞ disturbance attenuation level are derived. By solving several matrix inequalities, the state estimator parameters can be obtained. A numerical example is given to illustrate the effectiveness of our results. © 2018 Technical Committee on control Theory, Chinese Association of automation.

关键词： State estimation

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H∞control for singular systems with time-varying delay based on augmented lyapunov-krasovskii functional 37

H∞control for singular systems with time-varying delay base...

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37th Chinese control Conference, CCC 2018

作者： Ya-Li, Zhi Yong, He School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China

ISBN: (纸本)9789881563941

This paper concers the H∞ control for singular systems with time-varying delay. Firstly, an augmented Lyapunov-Krasovskii functional (ALKF) is constructed by adding some integral terms which are dependent on the singular matrix to the quadratic term. Secondly, to handle the derivative of the ALKF, a modified relaxed integral inequality is introduced. As a result, a sufficient condition with a state feedback controller is derived to ensure the closed-loop system to be regular, impulse free and asymptotically stable with H∞ performance. Finally, a numerical example is given to verify the effectiveness and the superiority of the proposed method. © 2018 Technical Committee on control Theory, Chinese Association of automation.

关键词： Closed loop systems

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Multi-agent System Motion Planning under Temporal Logic Specifications and control Barrier Function

Multi-agent System Motion Planning under Temporal Logic Spec...

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第三十九届中国控制会议

作者： Xinyuan Huang Li Li Jie Chen IEEE IFAC Chinese Academy of Engineering Tongji University the State Key Laboratory of Intelligent Control and Decision of Complex Systems the Chinese Association of Automation the Chinese Artificial Intelligence Society College of Electronics and Information Engineering Tongji University Shanghai Reserach Institute for Intelligent Autonomous Systems

In this paper, we provide a novel scheme to solve the motion planning problem of multi-agent systems under highlevel task specifications. First, linear temporal logic is applied to express the global task specification. Then an efficient and decentralization algorithm is proposed to decompose it into local tasks. Finally, we use control barrier function to synthesize the local controller for each agent under the LTL motion plan safety constraint. Simulation results prove the effectiveness and efficiency of our proposed method.

关键词： temporal logic multi-agent system formal methods control barrier function

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Tattoo recognition based on triplet GAN 37

Tattoo recognition based on triplet GAN

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37th Chinese control Conference, CCC 2018

作者： Jiawang, Cao Yuan, Zhu School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China

ISBN: (纸本)9789881563941

An important feature of the deep learning algorithm is that the hidden layer of the neural network is more dependent on more computing resources and a larger amount of data. In this paper, we use TripletGAN method to identify human body images with tattoos using fewer data sample labels. The model achieved better results(0.9462) than the only Triplet(0.8352) and only GAN(0.9178) in the MNIST dataset, it also achieved higher recognition accuracy (77-82%) under the premise of saving the amount of data, compared with the traditional machine learning algorithm(54-84%). We provide a new idea for tattoo image recognition applications in embedded computing units. © 2018 Technical Committee on control Theory, Chinese Association of automation.

关键词： Image recognition

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Electroencephalogram Emotion Recognition Based on A Stacking Classification Model 37

Electroencephalogram Emotion Recognition Based on A Stacking...

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37th Chinese control Conference, CCC 2018

作者： Xie, Oiao Liu, Zhen-Tao Ding, Xue-Wen School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China

ISBN: (纸本)9789881563941

To improve the accuracy of Electroencephalogram (EEG) emotion recognition, a stacking emotion classification model is proposed, in which different classification models such as XGBoost, LightGBM and Random Forest are integrated to learn the features. In addition, the Renyi entropy of 32 channels' EEG signals are extracted as the feature and Linear discriminant analysis (LDA) is employed to reduce the dimension of the feature set. The proposal is tested on the DEAP dataset, and the EEG emotional states are accessed in Arousal-Valence emotion space, in which HA/LA and HV/LV are classified, respectively. The result shows that the average recognition accuracies of 77.19% for HA/LA and 79.06% for HV/LV are obtained, which demonstrates that the proposal is feasible in EEG emotion recognition. © 2018 Technical Committee on control Theory, Chinese Association of automation.

关键词： Emotion Recognition

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Renal Clearing Carbon Dots-Based Near-Infrared Fluorescent Super-Small Nanoprobe for Renal Imaging

SSRN

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SSRN 2022年

作者： Gao, Pengli Hui, Hui Guo, Chanjuan Liu, Yu Su, Ya Huang, Xiazi Shang, Wenting Jiang, Jingying Tian, Jie Guo, Kunxiong CAS Key Laboratory of Molecular Imaging Beijing Key Laboratory of Molecular Imaging The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China School of Biological Science and Medicine Engineering School of Engineering Medicine Beihang University No. 37 Xueyuan Road Beijing100191 China Key Laboratory of Big Data-Based Precision Medicine Beihang University Ministry of Industry and Information Technology of the People’s Republic of China No. 37 Xueyuan Road Beijing100191 China School of Engineering Medicine Beihang University No. 37 Xueyuan Road Beijing100191 China Department of Hepatobiliary Surgery Zhujiang Hospital Southern Medical University Guangzhou China Beijing Advanced Innovation Center for Big Data-Based Precision Medicine China

Real-time renal imaging is indispensable for monitoring kidney-related disease processes and evaluating the nephrotoxicity of nanoprobes. Owing to their small size, tunable photoluminescence properties, and low biotoxicity, carbon dots (CDs) are widely employed as nanoprobes for imaging-guided disease diagnosis. However, the preparation of near-infrared CDs is a stupendous challenging. Here, CDs with near-infrared fluorescence (NIR-CDs ) were prepared by one-pot pyrolysis and were comprehensively evaluated for real-time renal imaging. The NIR-CDs possessed super-small size (1.8 ± 0.2 nm) and high quantum yield (14.3% in aqueous solution) at 696 nm. NIR-CDs exhibited high-efficiency renal clearance at 24 h post-treatment (97.47-99.27% ID) via glomerular filtration. The irreversible clearance of NIR-CDs enables effective real-time monitoring of kidney function in the normal and acute kidney injury (AKI) mouse models. Consequently, NIR-CDs can be utilized for imaging analyses of impaired kidney function, pioneering a serviceable guideline for neoapplications of NIR-CDs. © 2022, The Authors. All rights reserved.

关键词： Nanoprobes

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Optimal Economic Operation of Microgrid Considering Lifetime Characteristics for Hybrid Energy Storage System

Optimal Economic Operation of Microgrid Considering Lifetime...

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Asian control Conference

作者： Min Ding Xiaomin Wu Danyun Li Weihua Cao Dianhong Wang Luefeng Chen Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China School of Mechanical Engineering and Electronic Information China University of Geosciences Wuhan China

ISBN: (纸本)9781728102634

The PV-wind-storage microgrid plays an important role in solving power supply problems. Energy storage system is an important element to be considered when the optimal economic operation of microgrid is carried out due to the high cost and discount. To achieve reliable and economic operations of a PV-wind-storage microgrid, the lifetime characteristics of energy storage system also need to be fully investigated. In this paper, low pass filter is used to determine the power of super capacitor and battery, than established battery life quantitative model according to the equivalent cycle life curve. Considering the lifetime characteristics of energy storage system, a optimization to minimize power generation cost and to maximize the useful life of hybrid energy storage system has been achieved via the particle swarm optimization (PSO). The simulation results show the proposed method can optimize the system operations and has good optimization results.

关键词： Batteries Discharges (electric) Microgrids Capacitors Economics Optimization

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Semi-autonomous greenhouse environment control by combining expert knowledge and machine learning

Semi-autonomous greenhouse environment control by combining ...

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Chinese automation Congress (CAC)

作者： Mengzhen Kang Yuchen Weng Haitong Pang Liangde Li Xing-Rong Fan Jing Hua Fangle Chang Xiujuan Wang Longhua Ma The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences School of Artificial Intelligence University of Chinese Academy of Sciences Beijing China Ningbo Institute of Technology Zhejiang University Ningbo China The School of Computer Science and Information Engineering Chongqing Technology and Business University Chongqing China The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Qingdao AgriTech Co. Ltd Qingdao Qingdao China The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing Engineering Research Center of Intelligent Systems and Technology Beijing China

ISBN: (数字)9781728176871

ISBN: (纸本)9781728176888

The concept of "autonomous greenhouse" hints the automatic setting of control target, and giving orders on facilities to reach these targets (set point). Information and communication technologies are widely used, but how to integrate common sense or knowledge in decision-making is still challenging. Semi-autonomous greenhouse control is to set rules with joint advantages of experienced grower and powerful machinery, with the support of knowledge graph and semantic analysis. The contribution of each side is dependent on the intelligence level of computers, the availability of data, etc. In this work, the hybrid system between human and machinery is shown with the temperature control in greenhouse. The target is set mainly by expert knowledge, while the temperature controlled by vent opening is decided by an algorithm. Result shows that the target is better reached compared to that of the experience-based approach. This example shows the feasibility of human-machine hybrid intelligence system for greenhouse environment control. Although this approach is tested for temperature control, it can be extended to control multiple factors simultaneously (temperature, light intensity, humidity, etc.) by driving multiple facilities (heating, lightening, venting, etc.).

关键词： Green products Temperature measurement Monitoring Temperature sensors Vents Agriculture Temperature distribution

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