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第三届等离激元光子学前沿国际会议

作者： Xin Liu Dangyuan Lei Key Lab of Advanced Transducers and Intelligent Control System of Ministry of Education and College of Physics and Optoelectronics Taiyuan University of Technology Department of Applied Physics The Hong Kong Polytechnic University Shenzhen Research Institute The Hong Kong Polytechnic University

＜正＞Enhancing the quantum efficiency of lanthanide-doped upconversion nanocrystals is crucial for applying them in fluorescence imaging,biosensing and optoelectronic applications[1,2].Here we demonstrate numerically...

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The effect of fractional order on oscillatory behavior of scalar fractional delay systems of neutral type

The effect of fractional order on oscillatory behavior of sc...

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6th Workshop on Fractional Differentiation and Its Applications, FDA 2013

作者： Mesbahi, Afshin Haeri, Mohammad Advanced Control System Lab. Department of Electrical Engineering Sharif University of Technology Tehran Iran

ISBN: (纸本)9783902823274

The undamped oscillations of a scalar fractional neutral system are studied in this paper. For this purpose, it is proved that this kind of systems can have the oscillatory behavior. The necessary and sufficient condition is proposed to determine that there exists a delay value for which the system oscillates. The frequency, amplitude and required delay for the undamped oscillations depend on the fractional order. However, the behavior of dependencies is not specified. Indeed, when the system has oscillatory behavior, it is bounded-input bounded-output stable for delay less than the required delay. Moreover, when the order is approaching to an integer value, the necessary and sufficient condition is proposed to determine that the system can oscillate with the bounded value of delay. The obtained results are verified with respect to the classical theorems. Finally, two numerical examples demonstrate the proposed conditions. © 2013 IFAC.

关键词： Time delay

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26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 Antwerp, Belgium. 15-20 July 2017 Abstracts

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BMC NEUROSCIENCE 2017年第SUPPL 1期18卷 95-176页

作者： [Anonymous] Department of Neuroscience Yale University New Haven CT 06520 USA Department Physiology & Pharmacology SUNY Downstate Brooklyn NY 11203 USA NYU School of Engineering 6 MetroTech Center Brooklyn NY 11201 USA Departament de Matemàtica Aplicada Universitat Politècnica de Catalunya Barcelona 08028 Spain Institut de Neurobiologie de la Méditerrannée (INMED) INSERM UMR901 Aix-Marseille Univ Marseille France Center of Neural Science New York University New York NY USA Aix-Marseille Univ INSERM INS Inst Neurosci Syst Marseille France Laboratoire de Physique Théorique et Modélisation CNRS UMR 8089 Université de Cergy-Pontoise 95300 Cergy-Pontoise Cedex France Department of Mathematics and Computer Science ENSAT Abdelmalek Essaadi’s University Tangier Morocco Laboratory of Natural Computation Department of Information and Electrical Engineering and Applied Mathematics University of Salerno 84084 Fisciano SA Italy Department of Medicine University of Salerno 84083 Lancusi SA Italy Dipartimento di Fisica Università degli Studi Aldo Moro Bari and INFN Sezione Di Bari Italy Data Analysis Department Ghent University Ghent Belgium Coma Science Group University of Liège Liège Belgium Cruces Hospital and Ikerbasque Research Center Bilbao Spain BIOtech Department of Industrial Engineering University of Trento and IRCS-PAT FBK 38010 Trento Italy Department of Data Analysis Ghent University Ghent 9000 Belgium The Wellcome Trust Centre for Neuroimaging University College London London WC1N 3BG UK Department of Electronic Engineering NED University of Engineering and Technology Karachi Pakistan Blue Brain Project École Polytechnique Fédérale de Lausanne Lausanne Switzerland Departement of Mathematics Swansea University Swansea Wales UK Laboratory for Topology and Neuroscience at the Brain Mind Institute École polytechnique fédérale de Lausanne Lausanne Switzerland Institute of Mathematics University of Aberdeen Aberdeen Scotland UK Department of Integrativ

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A robust controller based on advance model-free adaptive method for linear motion systems

A robust controller based on advance model-free adaptive met...

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World Congress on Intelligent control and Automation (WCICA)

作者： Rongmin Cao Huixing Zhou Zhongsheng Hou Junru Wang Beijing Key Laboratory of High Dynamic Navigation Technology Beijing Information Science & Technology University Beijing China The school of engineering China Agricultural University Beijing China Advanced Control System Lab Beijing Jiaotong University Beijing China School of Automation Beijing Information Science & Technology University Beijing China

The proposed advance model-free adaptive control algorithm is able to regain the control performance when some undesirable situations occur in linear motion system. A case study is employed in the development which involves the control of a linear motor setup using two control algorithms: a nominal control algorithm based on PID tuned for high performance, and the robust accommodating control based on advanced model free adaptive control (AMFAC). Compared with PID control, AMFAC is more robust to disturbances such as vibrations for fast time-varying systems. Simulation results based on the model of a real linear motion system setup are provided to show the effectiveness of the approach.

关键词： Adaptation models Adaptive control Semiconductor process modeling control systems Robustness Educational institutions Real-time systems

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The 5th International Conference on Biomedical Engineering and Biotechnology (ICBEB 2016) Abstracts

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BMC MEDICAL IMAGING 2016年第SUPPL 1期16卷 65-65页

作者： [Anonymous] Department of MRI Shandong Medical Imaging Research Institute Affiliated to Shandong University Jinan Shandong 250021 People’s Republic of China Department of Interventional Radiology Shandong Provincial Hospital Affiliated to Shandong University Jinan Shandong 250021 People’s Republic of China College of Information Science and Technology Engr. Research Center of Digitized Textile & Fashion Tech. for Ministry of Education Donghua University Shanghai 201620 China Intelligent multimedia information processing Lab College of Software Northeastern University Shenyang Liaoning Province 110004 China Institute of Biomedical and Health Engineering Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen 518055 China School of Computer Science and Technology Nanjing Normal University Nanjing China Department of Electrical Engineering The City College of New York CUNY New York USA Jiangsu Key Laboratory of 3D Printing Equipment and Manufacturing Nanjing China School of Electronic Science and Engineering Nanjing University Nanjing Jiangsu 210046 China College of Engineering Nanyang Technological University Singapore 639798 Singapore School of Electronic Information Shanghai Dianji University Shanghai China School of Natural Sciences and Mathematics Shepherd University Shepherdstown WV 25443 USA Davis College of Agriculture Natural Resources and Design West Virginia University Morgantown WV 26505 USA State Key Laboratory of Millimeter Waves Southeast University Nanjing 210096 China Center of Medical Physics and Technology Hefei Institutes of Physical Science Chinese Academy of Sciences Hefei China College of Agricultural and Life Sciences University of Florida Gainesville FL 32611 USA Courant Institute of Mathematical Sciences New York University New York NY 10012 USA Translational Imaging Division & MRI Unit Columbia University and New York State Psychiatric Institute New York NY 10032 USA Guangxi Key Laboratory of Manufacturing System & Adv

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The Effect of Fractional Order on Oscillatory Behavior of Scalar Fractional Delay systems of Neutral Type

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IFAC Proceedings Volumes 2013年第1期46卷 480-485页

作者： Afshin Mesbahi Mohammad Haeri Advanced Control System Lab Department of Electrical Engineering Sharif University of Technology Tehran Iran

关键词： Linear fractional order system oscillation frequency analysis asymptotic properties

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Fuzzy PID control study based on electrohydraulic servo proportional valve position

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Energy Education Science and Technology Part A: Energy Science and Research 2013年第1期31卷 437-440页

作者： Wang, Xuping Taiyuan University of Technology Key Lab of Advanced Transducers and Intelligent Control System Ministry of Education Taiyuan 030024 China

Aiming at reasonable parameters approximation for the electro-hydraulic servo system, and parameters offset due to temperature changes caused, and as well as system inherent in the dead zone, hysteresis effect nonlinear factors, analysis of approximate dynamic mathematical model based on the position of the servo proportional valve control. On the basis of conventional PID, fuzzy PID control is proposed to be applied to the servo proportional valve controlled cylinder system. And joint simulation results showed that the Fuzzy PID control system based on servo proportional valve electro-hydraulic servo system, compared with the traditional PID control system has a fast response, short rise time, overshoot characteristics. This in theory of electro-hydraulic servo control system has certain reference significance. © Sila Science.

关键词： Simulink

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Design of fuzzy PID for electro-hydraulic servo control system based on FPGA

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Energy Education Science and Technology Part A: Energy Science and Research 2013年第3期31卷 1469-1474页

作者： Hao, Xiaoxing Wang, Xuping Taiyuan University of Technology Key Lab of Advanced Transducers and Intelligent Control System Ministry of Education Taiyuan 030024 China

This paper proposes the design of an electro-hydraulic servo control system based on FPGA and fuzzy PID. The system adopts FPGA as the basic control processer and fuzzy PID as the control algorithm. On the one hand, it takes the advantages of FPGA high processing speed and strong real-time, on the other hand, it possess powerful robustness of fuzzy control and good dynamic response. The results of experimental simulation and practical tests indicate that compared with the traditional servo controller, the control system has high operation speed and short servo cycle, the response time is about 0.5s, steady-state error is almost zero, the steady-state error is about 0.2mm, and the controlled variable output on steady state is smoothing. The system with good steady-state accuracy and dynamic performances characteristics can meet the requirements of high-speed and high-precision. Moreover, it is able to make many complex control algorithms realized in hardware and optimized the algorithms according to the result timely. © Sila Science.

关键词： Field programmable gate arrays (FPGA)

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Symmetry Engineering in Plasmonic Oligomer Clusters

Symmetry Engineering in Plasmonic Oligomer Clusters

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International Conference on Nanoscience & Technology,China 2013(ChinaNANO 2013)

作者： Shao-Ding Liu Key Lab of Advanced Transducers and Intelligent Control System of Ministry of Education Taiyuan University of Technology Department of Physics and Optoelectronics Taiyuan University of Technology

Fano resonances in plasmonic nanostructures have asymmetric line shape and sharp resonance, and they are very attractive for biosensing applications. The implementations of biosensing rely on plasmon line shape engineering. In this work, we report that when the symmetry of a hexamer is lowered to D 2h point group, two B 3u and two B 2u dark subradiant modes are excited, and there are four kinds of Fano resonances. According to plasmon hybridization theory, the B 3u and two B 2u modes interact with plasmons of the central partical for heptamers with D 2h symmetry. We demonstrate that besides the influence on the resonance behavior, or the appearance of an additional Fano resonance for a certain polarization, there are several hybridized dark subradiant modes for both polarizations, and up to eight kinds of Fano resonances appear in the spectra. Plasmonic clusters with D 2h symmetry are very suitable for plasmon line shaping, and they would useful for multi-wavelength sensing applications. This work also reveals that cluster symmetry engineering is a good method to tune spectral features and to form multiple Fano resonances, and one can get similar results for plasmonic clusters with other symmetries.

关键词： Fano resonances oligomer cluster surface plasmon metallic nanostructure dark mode nanoring.

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EMG-based neural network control of an upper-limb power-assist exoskeleton robot

EMG-based neural network control of an upper-limb power-assi...

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10th International Symposium on Neural Networks, ISNN 2013

作者： Su, Hang Li, Zhijun Li, Guanglin Yang, Chenguang Key Lab of Autonomous System and Network Control College of Automation Science and Engineering South China University of Technology Guangzhou China Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen Guangdong China School of Computing and Mathematics Plymouth University PL4 8AA United Kingdom

ISBN: (纸本)9783642390678

The paper presents the electromyogram (EMG)-based neural network control of an upper-limb power-assist exoskeleton robot, which is proposed to control the robot in accordance with the user's motion intention. The upper limb rehabilitation exoskeleton is with high precision for co-manipulation tasks of human and robot because of its backdrivability, precise positioning capabilities, and zero backlash due to its harmonic drive transmission (HDT). The novelty of this work is the development of an adaptive neural network modeling and control approach to handle the unknown parameters of the harmonic drive transmission in the robot to facilitate motion control. We have conducted the experiments on human subject to identify the various parameters of the harmonic drive system combining sEMG information signals. © 2013 Springer-Verlag Berlin Heidelberg.

关键词： Robots

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