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第35届中国控制会议

作者： LI Chunzhi Yang Jianying State Key Laboratory for Turbulence and Complex Systems Department of Mechanics and Engineering Science College of Engineering Peking University National Key Laboratory of Science and Technology on Aerospace Intelligence Control

ISBN: (纸本)9781509009107

This paper proposes a novel airfoil active flow control method using only synthetic jet to achieve triple-channel flight attitude control at high angle of attack. It's a feasible and effective control method to solve the difficult problem of flight control at high attack angle when stall occurs. As a first step, we build a model of the aircraft, and derive the relationship between the synthetic-jet peak velocity and moments. Under these conditions, we design a controller to the system. A nonlinear integrated flight control and flow control system was developed and tested in simulations. Simulation results showed that the proposed control method, can effectively control the aircraft at high angle of attack.

关键词： synthetic jet flight control high angle of attack

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Time-varying Terminal Sliding Mode Based on Salvo Attack Cooperative Guidance Law for Unknown Uncertainty Upper Bounds 35

Time-varying Terminal Sliding Mode Based on Salvo Attack Coo...

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第35届中国控制会议

作者： WEI Xiaoqian YANG Jianying State Key Laboratory for Turbulence and Complex Systems Department of Mechanics and Engineering ScienceCollege of EngineeringPeking University National Key Laboratory of Science and Technology on Aerospace Intelligence Control

ISBN: (纸本)9781509009107

In this paper,a new time-varying terminal sliding mode with unknown uncertainty bounds is designed to make multiple missiles-attack against the maneuvering target *** new method in this paper can guarantee accurate time-to-go by distributed ***,a new cooperative guidance law is designed for the nonlinear system based on the known uncertainty ***,it is extended to unknown uncertainty bound using the disturbance observer and the composite cooperative guidance *** desired salvo attack time is achieved by selecting the parameter variables of sliding model and the adjacency matrix in the *** simulations with the comparisons demonstrate the effectiveness and the superiority of the proposed method.

关键词： Terminal Sliding Mode Salvo Attack Unknown Uncertainty Upper Bounds

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Multi-view hybrid embedding: A divide-and-conquer approach

arXiv

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arXiv 2018年

作者： Xu, Jiamiao Yu, Shujian You, Xinge Leng, Mengjun Jing, Xiao-Yuan Chen, C. L. Philip School of Electronic Information and Communications Huazhong University of Science and Technology Wuhan430074 China Department of Electrical and Computer Engineering University of Florida GainesvilleFL32611 United States Department of Computer Science University of Houston HoustonTX77204 United States State Key Laboratory of Software Engineering School of Computer Wuhan University China Department of Computer and Information Science Faculty of Science and Technology University of Macau Macau99999 China Dalian Maritime University Dalian116026 China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100080 China

We present a novel cross-view classification algorithm where the gallery and probe data come from different views. A popular approach to tackle this problem is the multiview subspace learning (MvSL) that aims to learn a latent subspace shared by multi-view data. Despite promising results obtained on some applications, the performance of existing methods deteriorates dramatically when the multi-view data is sampled from nonlinear manifolds or suffers from heavy outliers. To circumvent this drawback, motivated by the Divideand-Conquer strategy, we propose Multi-view Hybrid Embedding (MvHE), a unique method of dividing the problem of cross-view classification into three subproblems and building one model for each subproblem. Specifically, the first model is designed to remove view discrepancy, whereas the second and third models attempt to discover the intrinsic nonlinear structure and to increase discriminability in intra-view and interview samples respectively. The kernel extension is conducted to further boost the representation power of MvHE. Extensive experiments are conducted on four benchmark datasets. Our methods demonstrate overwhelming advantages against the stateof-the-art MvSL based cross-view classification approaches in terms of classification accuracy and robustness. Copyright © 2018, The Authors. All rights reserved.

关键词： Embeddings

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Bifurcation analysis and control of quorum sensing network model 5

Bifurcation analysis and control of quorum sensing network m...

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5th International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2017

作者： Mei, Qicheng Liu, Feng Ren, Jie Sun, Fenglan Wang, Hua School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China Research Center of System Theory and Application Chongqing University of Posts and Telecommunications Chongqing400065 China Department of Mechanical Engineering Boston University BostonMA02215 United States

In this paper, a model is constructed to investigate the mechanism induced quorum sensing (QS) by coexisting of small RNA and signal molecule. The QS network model regulated by small RNAs is studied. The condition of the stability of the QS network is considered by using Routh-Hurwitz stability criterion. The conditions for the existence of Hopf bifurcation are obtained. Then, a linear feedback control is designed to make the system asymptotically stable. The numerical simulation is used to verify the results of theoretical analysis.

关键词： Hopf bifurcation

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Room temperature continuous-wave excited biexciton emission in CsPbBr3 nanocrystals

arXiv

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arXiv 2018年

作者： Chen, Jie Zhang, Qing Du, Wenna Mi, Yang Shang, Qiuyu Shi, Jia Liu, Pengchong Sui, Xinyu Wu, Xianxin Wang, Rui Peng, Bo Zhong, Haizheng Xing, Guichuan Qiu, Xiaohui Sum, Tze Chien Liu, Xinfeng Division of Nanophotonics CAS Key Laboratory of Standardization and Measurement for Nanotechnology CAS Center for Excellence in Nanoscience National Center for Nanoscience and Technology Beijing100190 China University of Chinese Academy of Sciences 19 A Yuquan Rd Shijingshan District Beijing100049 China Department of Materials Science and Engineering College of Engineering Peking University Beijing100871 China Research Center for Wide Band Semiconductor Peking University China National Engineering Research Center of Electromagnetic Radiation Control Materials State Key Laboratory of Electronic Thin Films and Integrated Devices University of Electronic Science and Technology of China Beijing Key Laboratory of Nanophotonics and Ultrafine Optoelectronic Systems School of Materials Science & Engineering Beijing Institute of Technology China Institute of Applied Physics and Materials Engineering University of Macau China School of Physical & Mathematical Sciences Nanyang Technological University 21 Nanyang Link Singapore

Biexcitons are a manifestation of many-body excitonic interactions crucial for quantum information and quantum computation in the construction of coherent combinations of quantum states. However, due to their small binding energy and low transition efficiency, most biexcitons in conventional semiconductors exist either at cryogenic temperature or under femtosecond pulse laser excitation. Here we demonstrate room temperature, continuous wave driven biexciton states in CsPbBr3 perovskite nanocrystals through coupling with a plasmonic nanogap. The room temperature CsPbBr3 biexciton excitation fluence (~100 mW/cm2) is reduced by ~1013 times in the Ag nanowire-film nanogaps. The giant enhancement of biexciton emission is driven by coherent biexciton-plasmon Fano interference. These results provide new pathways to develop high efficiency non-blinking single photon sources, entangled light sources and lasers based on biexciton states. Copyright © 2018, The Authors. All rights reserved.

关键词： Cesium compounds

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Long short-term memory based on a reward/punishment strategy for recurrent neural networks

Long short-term memory based on a reward/punishment strategy...

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Youth Academic Annual Conference of Chinese Association of Automation (YAC)

作者： Jiangjiang Liu Biao Luo Pengfei Yan Ding Wang Derong Liu School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing China The State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781538629024

Recurrent neural networks and their variants have received huge success in many difficult tasks, such as handwriting recognition and generation, natural language processing, acoustic modeling of speech, and so on. As a kind of recurrent neural network architectures, the long short-term memory (LSTM) has attracted great attention. Most research works focus on its structures, training algorithms and topology structures. As an improvement to the structure of LSTM, a reward/punishment strategy is developed for LSTM in this paper, which we call RP-LSTM. In RP-LSTM, a reward/punishment (RP) strategy is proposed to evaluate its memory cells' memorization such that it improves its efficiency by forgetting more reasonably. Analysis of properties of the developed RP-LSTM is conducted from the neuroscience aspect. To test the performance of the developed RP-LSTM, comparative simulation studies are conducted on three structures, i.e., LSTM, LSTM with forget gate (LSTM-FG) and RP-LSTM. Simulation results on sentiment analysis model and sequence to sequence model demonstrate that RP-LSTM achieves better performance.

关键词： Logic gates Mathematical model Training Memory management Recurrent neural networks Speech Neuroscience

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Adaptive Dynamic Programming and Optimal Stabilization for Linear systems with Time-varying Uncertainty

Adaptive Dynamic Programming and Optimal Stabilization for L...

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Asian control Conference

作者： Meng Zhang Ming-Gang Gan Jie Chen Zhong-Ping Jiang State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology Beijing China Department of Electrical and Computer Engineering New York University Brooklyn NY

ISBN: (纸本)9781509015740;9781509015733

This paper focuses on the optimal control of continuous-time linear time-varying uncertain systems with completely unknown internal dynamics and proposes a novel approach which leads to an optimal controller with guaranteed stability. A model-free algorithm of adaptive dynamic programming is employed to deal with the uncertainty of system parameters, yielding an optimal feedback controller for the system subject to a predefined cost. Then the stability of the system in time-varying uncertain situation which may undergo parameter changes or jumps is analyzed from the perspective of finite-time stability. On the basis of these results, a switching control strategy is presented to ensure the stability of the time-varying uncertain system with desired optimality properties in the long run. The effectiveness of the strategy is verified by simulations on a DC torque motor servo system.

关键词： Time-varying systems Stability analysis Symmetric matrices Asymptotic stability Uncertainty Optimal control

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Theranostics: Boosting Postsurgical Outcomes of Orthotopic Hepatocellular Carcinoma via an EpCAM-Targeting Theranostic Nanoparticle (Part. Part. Syst. Charact. 8/2019)

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Particle & Particle systems Characterization 2019年第8期36卷

作者： Min Hu Kun Wang Wenting Shang Ziyu Han Hongmei Jiang Chihua Fang Jie Tian Department of Hepatobiliary Surgery Zhujiang Hospital Southern Medical University Guangzhou 510280 China CAS Key Laboratory of Molecular Imaging The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China Department of Hepatobiliary Surgery The First Affiliated Hospital of Jinan University Guangzhou 510630 China Institute of Automation University of Chinese Academy of Sciences Beijing 100080 China Guangdong Provincial Clinical and Engineering Technology Research Center of Digital Medicine Guangzhou 510280 China

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Motion Detection Based on Improved Sobel and ViBe Algorithm 35

Motion Detection Based on Improved Sobel and ViBe Algorithm

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第35届中国控制会议

作者： ZHANG Yujia ZHAO Xiaoguang TAN Min State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences University of Chinese Academy of Sciences School of Computer and Control Engineering

ISBN: (纸本)9781509009107

Motion detection plays a crucial role in most video based applications.A particular background subtraction technique called ViBe(Visual Background Extractor) is commonly used to obtain foreground objects from the background due to its high detection rate and low computational ***,the performance is not very ***,this paper presents an improved ViBe algorithm to increase the accuracy and robustness of motion ***,a foreground feature map is created by optimizing the result of ViBe *** the edge detection of the original video frames is achieved after pre-sharpening using improved Sobel operator and Otsu ***,by feature fusion(of the foreground and background feature maps) and contour filling,the motion detection results can be *** experiments demonstrate the improvements of the proposed modifications at a limited additional cost.

关键词： Motion detection Otsu algorithm Sobel operator Visual Background Extractor(ViBe)

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An Initiative Service Method Based on Intention Understanding for Drinking Service Robot

An Initiative Service Method Based on Intention Understandin...

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Annual Conference of the IEEE Industrial Electronics Society

作者： Man Hao Weihua Cao Min Wu Zhentao Liu Jin-Hua She Luefeng Chen Ri Zhang School of Automation China University of Geosciences Wuhan China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems School of Engineering Tokyo University of Technology Tokyo Japan

To ensure that people can supplement enough water at the right time, an initiative service method based on intention understanding for drinking service robot is proposed. Firstly, individual factors and environmental factors which are associated with personal intentions are collected. Secondly, users' intention and desire degree for intention are obtained by an improved Fuzzy-Context-specific Intention Inference method. Then the relationship between personal intention and human demands is established by an initiative service model. Finally, robots provide drinking water service initiatively according to humans' demands. Drinking service experiments are performed in a laboratory scenario using a humans-robots interaction system. The experimental results show that the drinking time of actual situation lags behind the initiative service time 25 minutes on average, and the initiative service renders drinking service 2 times more than actual situation on average, which demonstrates the feasibility of the proposal. In prospect, the initiative service method could be applied to many occasions in our daily life, e.g., family service, caring for the elderly, and medical rehabilitation.

关键词： Service robots Temperature Environmental factors Humidity Correlation

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