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Identification of FIR systems with Quantized Inputs and Observations

IFAC-PapersOnLine 2015年第28期48卷 674-679页

作者： Guo, Jin Wang, Le Yi Yin, George Zhao, Yanlong Zhang, Ji-Feng School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing100083 China Department of Electrical and Computer Engineering Wayne State University DetroitMI48202 United States Department of Mathematics Wayne State University DetroitMI48202 United States Key Laboratory of Systems and Control Institute of Systems Science Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing100190 China

This paper introduces identification algorithms for finite impulse response systems under quantized output observations and general quantized inputs. While asymptotically efficient algorithms for quantized identification under periodic inputs are available, their counterpart under general inputs has encountered technical difficulties and evaded satisfactory resolutions. Under quantized inputs, this paper resolves this issue with constructive solutions. A two-step algorithm is developed, which demonstrates desired convergence properties including strong convergence, mean-square convergence, convergence rates, asymptotic normality, and asymptotical efficiency in terms of the Cramér-Rao lower bound. Some essential conditions on input excitation are derived that ensure identifiability and convergence. It is shown that by a suitable selection of the algorithm's weighting matrix, the estimates become asymptotically efficient. The strong and mean-square convergence rates are explicitly obtained. Optimal input design is discussed. Numerical examples are included to illustrate the main results of this paper © 2015

关键词： FIR filters Efficiency Identification (control systems) Impulse response Asymptotic efficiency Asymptotically efficient Finite impulse response system Identification algorithms Input design Mean square convergences non periodic input quantization

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design of a flexure-based XY positioning stage with balanced axial forces on decoupling modules

Design of a flexure-based XY positioning stage with balanced...

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International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale (3M-NANO)

作者： Zhen Zhang Zhiqing Liu Peng Yan Beijing Key Lab of Precision/Ultra-precision Manufacturing Equipments and Control Tsinghua University Beijing China State Key Laboratory of Fluid Power and Mechatronic Systems Zhejiang University Hangzhou China Department of Mechanical Engineering Beijing China School of Automation Science and Electrical Engineering Beihang University Beijing China School of Mechanical Engineering Shandong University Jinan China

ISBN: (纸本)9781509029464

This paper presents a novel beam flexure-based XY positioning stage with an axial force balanced design of double parallelogram decoupling modules. By mean of connecting two decoupling modules along the same actuation axis, the axial forces are evenly applied to each side of the motion stage. Therefore the in-plane rotation can be significantly restricted. Also a redundant constraint is proposed to the guidance module to restrict its rotational motions. The monolithical fabrication of the spatial configuration of the proposed mechanism can be resorted to additive manufactured technology. Numerical simulation results validate the effectiveness of the proposed XY positioning stage.

关键词： Force Actuators Joining processes Numerical simulation Nanopositioning Kinematics Stress

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Identifiability and Parameter Estimation of Linear Continuous-time systems under Irregular and Random Sampling

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IFAC-PapersOnLine 2015年第28期48卷 332-337页

作者： Mu, Biqiang Guo, Jin Wang, Le Yi Yin, George Xu, Lijian Zheng, Wei Xing Key Laboratory of Systems and Control Chinese Academy of Sciences Beijing100190 China School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing100083 China Department of Electrical and Computer Engineering Wayne State University DetroitMI48202 United States Department of Mathematics Wayne State University DetroitMI48202 United States Department of Electrical and Computer Engineering Technology Farmingdale State College State University of New York FarmingdaleNY11735 United States School of Computing Engineering and Mathematics University of Western Sydney PenrithNSW2751 Australia

This paper considers the problem of identifiability and parameter estimation of single-input-single-output, linear, time-invariant, stable, continuous-time systems under irregular and random sampling schemes. Conditions for system identifiability are established under inputs of exponential polynomial types and a tight bound on sampling density. Identification algorithms of Gauss-Newton iterative types are developed to generate convergent estimate sequences. When the sampled output is corrupted by observation noises, input design, sampling times, and convergent algorithms are intertwined. Persistent excitation (PE) conditions for strongly convergent algorithms are derived. Unlike the traditional identification, the PE conditions under irregular and random sampling involve both sampling times and input values. Under the given PE conditions, iterative and recursive algorithms are developed to estimate the original continuous-time system parameters. The corresponding convergence results are obtained. Several simulation examples are displayed to verify the theoretical results. © 2015

关键词： Continuous time systems Iterative methods Lyapunov methods Nonlinear control systems Parameter estimation Sampling convergence and asymptotical normality Estimation algorithm Identifiability Irregular sampling Linear continuous time system Non linear least squares

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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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Stability analysis of T-S fuzzy PD, PI, and PID control systems

Stability analysis of T-S fuzzy PD, PI, and PID control syst...

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International Conference on Fuzzy systems and Knowledge Discovery (FSKD)

作者： Kairui Cao X. Z. Gao Xing Wang H. K. Lam Jing Ma National Key Laboratory of Tunable Laser Technology Harbin Institute of Technology Harbin China Department of Electrical Engineering and Automation Aalto University School of Electrical Engineering Aalto Finland Beijing Institute of Astronomical Systems Engineering Beijing China Department of Informatics King's College London London United Kingdom

We present a simple and systematic way of designing stabilization fuzzy PID (Proportional-Integral-Differential), PI (Proportional-Integral), and PD (Proportional-Differential) controllers for the T-S fuzzy model. The state space representations of the fuzzy PD, PI, and PID controllers are firstly presented. Then we equivalently transform the fuzzy PID (PI, or PD) control system into the fuzzy static output feedback control system. The fuzzy static output feedback controller design for the latter system can be efficiently solved via the existing numerical optimization methods with some conservatism. Consequently, the fuzzy PID (PI, or PD) controller can be derived due to the one-on-one correspondence between the fuzzy PID controller and the fuzzy static output feedback controller. We use a numerical simulation example to show the effectiveness of our proposed methods.

关键词： PD control Aerospace electronics Stability criteria Numerical stability Electronic mail

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Wind-PV-storage optimal environomic design using multi-objective Artificial Bee Colony

Wind-PV-storage optimal environomic design using multi-objec...

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IEEE PES Asia-Pacific Power and Energy engineering Conference (APPEEC)

作者： H. Shayeghi M. Moradzadeh Y. Hashemi M. Saif L. Vandevelde Technical Engineering Department Ardabil Iran Dep. of Electrical and Computer Engineering University of Windsor Windsor Canada & the Electrical Energy Laboratory Ghent Belgium Centre for Engineering Innovation Dep. of Electrical and Computer Engineering University of Windsor Windsor Canada Dept. of Electrical Energy Systems and Automation & Energy knowledge platform Power-Link Ghent University Ghent Belgium

ISBN: (纸本)9781467381338

This paper proposes a multi-objective optimization formulation to design a hybrid wind-photovoltaic-storage system to supply the demand. This design problem aims to minimize the annual cost of the overall system as well as the CO2 emissions, and is solved by Artificial Bee Colony (ABC) algorithm. Solar irradiation, wind speed, and load data are assumed deterministic. Prices are all empirical and components of hybrid system are commercially available. A test system in the Northwestern Iran is investigated. The presented technique yields the optimal number of system devices such that the economic and environmental profits are maximized. A fuzzy decision making (FDM) method is applied for finding the best compromise solution from the set of Pareto-optimal solutions obtained by ABC.

关键词： Batteries Optimization Wind turbines Wind speed Renewable energy sources Frequency division multiplexing Maintenance engineering

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Evolutionary Approach to Coverage Testing of IEC 61499 Function Block Applications

Evolutionary Approach to Coverage Testing of IEC 61499 Funct...

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International Conference on Industrial Informatics

作者： Igor Buzhinsky Vladimir Ulyantsev Jari Veijalainen Valeriy Vyatkin Computer Technologies Laboratory ITMO University St. Petersburg Russia Department of Computer Science and Information Systems Mattilanniemi 2 University of Jyvaskyla FI-40014 University of Jyvaskyla Finland Department of Electrical Engineering and Automation Aalto University Finland

ISBN: (纸本)9781479966509

The paper addresses the problem of coverage testing of industrial automation software represented in the IEC 61499 standard, one of the recent standards for distributed control system design. Contrary to model-based testing (MBT), the paper focuses on implementation coverage, not model coverage. An approach based on evolutionary algorithms is presented which generates coverage test suites for both basic and composite IEC 61499 function blocks. It employs two third-party tools, FBDK and EvoSuite. The evaluation of the approach was performed on a set of control applications for two lab-scale demonstration plants. Results show that the approach is applicable and shows good performance at least on basic function blocks. The generated tests suites helped to discover several unreachable system parts, which pinpointed errors in the systems under test.

关键词： MBT Evolutionary Approach

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Low Temperature Co-fired Ceramic Package for Lab-on-CMOS Applied in Cell Viability Monitoring

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Procedia engineering 2015年 120卷 1079-1082页

作者： Niina Halonen Joni Kilpijärvi Maciej Sobocinski Timir Datta-Chaudhuri Antti Hassinen Someshekar B. Prakash Peter Möller Pamela Abshire Elisabeth Smela Sakari Kellokumpu Anita Lloyd Spetz Microelectronics and Materials Physics Laboratories Department of Electrical Engineering P.O. Box 4500 FI-90014 University of Oulu Finland Laboratory for MicroTechnologies Department of Mechanical Engineering and the Institute for Systems Research A. James Clark School of Engineering University of Maryland College Park MD 20742 USA Integrated Biomorphic Information System Laboratory Department of Electrical & Computer Engineering and the Institute for Systems Research University of Maryland College Park MD 20742 USA Faculty of Biochemistry and Molecular Medicine University of Oulu P.O. Box 5400 FI-90014 University of Oulu Finland Advanced Design Organization Intel Corporation Hillsboro USA Division of Applied Sensor Science Department of Physics Chemistry and Biology Linköping University SE-58183 Linköping Sweden

Lab-on-CMOS chips (LOCMOS) are sophisticated miniaturized analysis tools based on integrated circuit (IC) microchips performing various laboratory functions. We have developed a low temperature co-fired ceramic (LTCC) package for a LOCMOS application regarding cytotoxicity assessment of nanomaterials. The LTCC packaged capacitance sensor chip is designed for long-term cell viability monitoring during nanoparticle exposure. The introduced LTCC package utilizes the flip chip bonding technique, and it is biocompatible as well as able to withstand the environmental conditions required to maintain mammalian cell culture directly on the surface of a complementary metal oxide semiconductor (CMOS) integrated circuit.

关键词： Lab-on-CMOS low temperature co-fired ceramics electronics packaging cytotoxicity assesment capacitance sensing

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26th Annual Computational Neuroscience Meeting (CNS*2017): Part 1

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BMC Neurosci 2017年第SUPPL 1期18卷 58-58页

作者： Sue Denham Panayiota Poirazi Erik De Schutter Karl Friston Ho Ka Chan Thomas Nowotny Dongqi Han Sungho Hong Sophie Rosay Tanja Wernle Alessandro Treves Sarah Goethals Romain Brette Tomas Van Pottelbergh Rodolphe Sepulchre Alex D. Bird Hermann Cuntz Pedro J. Gonçalves Jan-Matthis Lueckmann Giacomo Bassetto Marcel Nonnenmacher Jakob H. Macke Audrey J. Sederberg Jason N. MacLean Stephanie E. Palmer Ulisse Ferrari Christophe Gardella Olivier Marre Thierry Mora Emina Ibrahimovic Martin Müller Jean-Pascal Pfister Tushar Chauhan Timothée Masquelier Alexandre Montlibert Benoit R. Cottereau Moritz Helias Jannis Schuecker David Dahmen Sven Goedeke Alexandre Hyafil Ainhoa Hermoso-Mendizabal Pavel E. Rueda-Orozco Santiago Jaramillo David Robbe Jaime de la Rocha Marie Rooy Fani Koukouli David DiGregorio Uwe Maskos Boris Gutkin Andrey Yu Verisokin Darya V. Verveyko Dmitry E. Postnov Willy Wong Omid Talakoub Robert Chen Milos Popovic Dmitriy Lisitsyn Eric Drebitz Iris Grothe Sunita Mandon Andreas Kreiter Udo Ernst Peter A. Robinson Xuelong Zhao Kevin M. Aquino John D. Griffiths Grishma Mehta-Pandejee Natasha Gabay James MacLaurin Somwrita Sarkar Tim Kunze Jens Haueisen Thomas R. Knösche Subutai Ahmad Yuwei Cui Marcus Lewis Jeff Hawkins Simona Olmi Spase Petkoski Fabrice Bartolomei Maxime Guye Viktor Jirsa Hazem Toutounji Daniel Durstewitz Matteo Cantarelli Adrian Quintana Boris Marin Matt Earnshaw Padraig Gleeson Robert Court Robert McDougal R. Angus Silver Salvador Dura-Bernal Stephen Larson William W. Lytton Giovanni Idili Lorenzo Posani Simona Cocco Karel Ježek Rémi Monasson School of Psychology Faculty of Health & Human Sciences Plymouth University Plymouth Devon PL4 8AA UK Institute of Molecular Biology and Biotechnology (IMBB) Foundation for Research and Technology-Hellas (FORTH) Heraklion Crete Greece Okinawa Institute of Science and Technology Graduate University Okinawa Japan Wellcome Trust Centre for Neuroimaging Institute of Neurology UCL London WC1N 3BG UK School of Engineering and Informatics University of Sussex Brighton BN1 9QJ UK Graduate School Okinawa Institute of Science and Technology Okinawa 904-0495 Japan Computational Neuroscience Unit Okinawa Institute of Science and Technology Okinawa 904-0495 Japan Cognitive Neuroscience Area Scuola Internazionale Superiore di Studi Avanzati Trieste 34136 Italy Kavli Institute for Systems Neuroscience NTNU Trondheim 7030 Norway Institut de la Vision Sorbonne Universités UPMC Univ Paris 06 INSERM CNRS Paris 75012 France Department of Engineering University of Cambridge Cambridge Cambridgeshire CB2 1PZ UK Ernst Strüngmann Institute for Neuroscience Max Planck Society Frankfurt Germany Frankfurt Institute for Advanced Studies Frankfurt Germany Neural Systems Analysis Research Center Caesar An Associate of the Max Planck Society Bonn Germany Max Planck Institute for Biological Cybernetics Tübingen Germany Bernstein Center for Computational Neuroscience Tübingen Germany Present Address: Biomedical Engineering Department Georgia Institute of Technology Atlanta GA 30306 USA Department of Neurobiology University of Chicago Chicago IL 60637 USA Department of Organismal Biology and Anatomy University of Chicago Chicago IL 60637 USA Committee on Computational Neuroscience University of Chicago Chicago IL 60637 USA Institut de la Vision Sorbonne Universités INSERM Paris France Laboratoire de Physique Statistique Ecole Normale Supérieure Paris France Institute of Molecular Life Sciences University of Zürich 8057 Zürich Switzerland Institute of Neuroinformatics Univer

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A high performance low power implementation scheme for FSM

A high performance low power implementation scheme for FSM

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International SoC design Conference, ISOCC

作者： Shuai Li Ken Choi Department of Electrical and Computer Engineering VLSI Design and Automation Laboratory Chicago IL USA

ISBN: (纸本)9781479951284

Finite state machine (FSM) takes an important part in digital logic system. FSMs partition is one of the effective methods in regards to low power technique. Most of time only one of sub-FSMs need to be clocked, consequently power is saved. In this paper, we propose a high performance algorithm based on state transitions probability and low complexity control logic to implement the partitioned FSMs. The cost from one sub-FSM to other sub-FSMs could be minimum, and the transitions probability in one sub-FSM should be maximum. Based on the low complexity of control logic, we further give an optimized hardware architecture for the partitioned FSM model. Our proposed scheme has been implemented by using tsmc 45 nm technology library. Experimental results show that an average power reduction of 59% has been obtained for a set of standard FSM benchmark circuits.

关键词： Logic gates

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