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American Control Conference

作者： Alejandro Donaire Rachit Mehra Romeo Ortega Sumeet Satpute Jose Guadalupe Romero Faruk Kazi N. M. Singh The University of Newcastle Newcastle NSW Australia Centre of Excellence in Complex and Nonlinear Dynamical Systems VJTI Mumbai India Laboratoire des Signaux et Systemes CNRS-SUPELEC Plateau du Moulon 91192 Gif-sur-Yvette France

ISBN: (纸本)9781479917730

Control of underactuated mechanical systems via energy shaping is a well-established, robust design technique. Unfortunately, its application is often stymied by the need to solve partial differential equations (PDEs). In this paper a new, fully constructive, procedure to shape the energy for a class of mechanical systems that obviates the solution of PDEs is proposed. The control law consists of a first stage of partial feedback linearization followed by a simple proportional plus integral controller acting on two new passive outputs. The class of systems for which the procedure is applicable is identified imposing some (directly verifiable) conditions on the systems inertia matrix and its potential energy function. It is shown that these conditions are satisfied by three benchmark examples.

关键词： Mechanical systems Differential equations control law PI control energy forming Partial differential equations design techniques Energy sources

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Feedback linearization of single-input and multi-input control system 19

Feedback linearization of single-input and multi-input contr...

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19th IFAC World Congress on International Federation of Automatic Control, IFAC 2014

作者： Mehra, Rachit Chinde, Venkatesh Kazi, Faruk Singh, N.M. Center of Excellence in Complex and Nonlinear Dynamical Systems VJTI Mumbai400019 India Department of Electrical and Computer Engineering Iowa State University AmesIA50011 United States

ISBN: (纸本)9783902823625

A new algorithm is proposed for computing locally the linearizing output of single-input and multi-input nonlinear affine system. The algorithm modifies the extended Goursat normal form to iteratively obtain the successive integrations of one dimensional distributions of control system. The algorithm takes ideas from both vector field approach of feedback linearization and exterior differential system tools, hence the name Blended Algorithm. The proposed algorithm leads to a tower like structure depending upon the number of system inputs. Within individual tower, the coordinates are reduced one by one by finding the annihilators of vector fields at each step. The process is repeated till the single vector field is obtained for exact linearizable system. The scheme exhibits reduced computational complexity over the existing methods and can be extended to address feedback linearization of various class of control systems. © IFAC.

关键词： Feedback linearization

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Multi-output radial basis function interpolation of saturated steam table for full scope simulator design

Multi-output radial basis function interpolation of saturate...

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International Conference on Contemporary Computing (IC3)

作者： Shweta Khushu Faruk Kazi VJTI Centre of Excellence in Complex and Nonlinear Dynamical Systems Mumbai India

Full scope simulators in nuclear or fossil power plants rely heavily on steam tables since most of their equipment operate in the saturation pressure/temperature region. The process of simulating the behavior of such plants involves trade-off between simulation cycle time and the available memory space. It is difficult to store entire steam table in the memory as they may adversely affect the computation and space complexity. This paper presents a novel approach of interpolating the steam table by radial basis function network (RBFN) that overcomes the shortcomings of storing the entire table. The paper uses multi-output RBFN architecture. The paper further shows applicability of forward bulk orthogonal least squares (OLS) algorithm for optimum center selection of RBFN. Various radial basis functions are tested for the regression purpose and their corresponding mean square errors are compared with existing ANSI standard.

关键词： Splines (mathematics) Covariance matrices Accuracy Junctions Computational modeling Radio access networks

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Collective state transitions of exciton-polaritons loaded into a periodic potential

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Physical Review B 2016年第12期93卷 121303(R)-121303(R)页

作者： K. Winkler O. A. Egorov I. G. Savenko X. Ma E. Estrecho T. Gao S. Müller M. Kamp T. C. H. Liew E. A. Ostrovskaya S. Höfling C. Schneider Technische Physik Wilhelm-Conrad-Röntgen-Research Center for Complex Material Systems Universität Würzburg Am Hubland D-97074 Würzburg Germany Institute of Condensed Matter Theory and Solid State Optics Abbe Center of Photonics Friedrich-Schiller-Universität Jena Max-Wien-Platz 1 07743 Jena Germany National Research University of Information Technologies Mechanics and Optics (ITMO University) Saint-Petersburg 197101 Russia COMP Centre of Excellence at the Department of Applied Physics P.O. Box 11000 FI-00076 Aalto Finland Nonlinear Physics Centre Research School of Physics and Engineering The Australian National University Canberra ACT 2601 Australia Division of Physics and Applied Physics Nanyang Technological University 637371 Singapore SUPA School of Physics and Astronomy University of St Andrews St Andrews KY16 9SS United Kingdom

We study the loading of a nonequilibrium, dissipative system of composite bosons—exciton polaritons—into a one-dimensional periodic lattice potential. Utilizing momentum resolved photoluminescence spectroscopy, we observe a transition between an incoherent Bose gas and a polariton condensate, which undergoes further transitions between different energy states in the band-gap spectrum of the periodic potential with increasing pumping power. We demonstrate controlled loading into distinct energy bands by modifying the size and shape of the excitation beam. The observed effects are comprehensively described in the framework of a nonequilibrium model of polariton condensation. In particular, we implement a stochastic treatment of quantum and thermal fluctuations in the system and conclude that polariton-phonon scattering is a plausible energy relaxation mechanism enabling transitions from the highly nonequilibrium polariton condensate in the gap to the ground band condensation for large pump powers.

关键词： Exciton polariton Bose gases Photoluminescence

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Feedback linearization of Single-Input and Multi-Input Control System

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IFAC Proceedings Volumes 2014年第3期47卷 5479-5484页

作者： Rachit Mehra Venkatesh Chinde Faruk Kazi N.M Singh Center of Excellence in Complex and Nonlinear Dynamical Systems VJTI Mumbai India - 400019 Department of Electrical and Computer Engineering Iowa State University Ames IA 50011 USA

关键词： Feedback linearization nonlinear system Exterior differential system Normal form

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26th Annual Computational Neuroscience Meeting (CNS*2017) of the Organization for Computational Neuroscience Antwerp, Belgium, July 15-20, 2017

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BMC NEUROSCIENCE 2017年第SUPPL 1期18卷 59-59页

作者： [Anonymous] Indiana University Purdue University Indianapolis Indianapolis IN 46032 USA Stark Neurosciences Research Institute Indiana University School of Medicine Indianapolis IN 46032 USA Department of Mathematics East Carolina University Greenville NC 27858 USA Jülich Supercomputing Centre Forschungszentrum Jülich 52425 Jülich Germany Future Systems Swiss National Supercomputing Centre 8092 Zurich Switzerland User Engagement and Support Swiss National Supercomputing Centre 6900 Lugano Switzerland Institut de Neurosciences des Systèmes Aix Marseille Univ 13005 Marseille France Simulation Lab Neuroscience Forschungszentrum Jülich Jülich Germany Department of Experimental Psychology Ghent University 9000 Ghent Belgium Donders Center for Cognitive Neuroimaging Radboud University 6525HR Nijmegen The Netherlands Department of Electrical Computer and Energy Engineering University of Colorado Boulder CO 80309 USA Department of Neurosurgery Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Neurology Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Otolaryngology Johns Hopkins School of Medicine Baltimore MD 21287 USA INSERM U968 Paris France Sorbonne Universités UPMC University Paris 06 UMR_S 968 Institut de la Vision Paris France CNRS UMR_7210 Paris France Department of Computer Architecture and Technology University of Granada (CITIC) Granada Spain Sorbonne Universités UPMC Univ Paris 06 INSERM CNRS Institut de la Vision Paris France Department of Adaptive Machine Systems Osaka University Osaka Japan Department of Computer Science University of Cergy-Pontoise Cergy-Pontoise France Department of Physics and Astronomy College of Charleston Charleston SC 29424 USA School of Physics Faculty of Science University of Sydney Sydney NSW 2006 Australia Center of Excellence for Integrative Brain Function Australian Research Council Sydney Australia Max Planck Institute for Human Cognitive and Brain Sciences Saxony Lei

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Modes Preserving Wavelet based Multi-scale PCA Algorithm for Compression of Smart Grid Data

Modes Preserving Wavelet based Multi-scale PCA Algorithm for...

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International Conference on Advances in Computing, Communications and Informatics

作者： Rachit Mehra Viresh Patel Faruk Kazi N. M. Singh S. R. Wagh Center of Excellence in Complex and Nonlinear Dynamical Systems VJTI

ISBN: (纸本)9781467361262

In this paper, wavelet based multiscale PCA algorithm is proposed for effective compression of smart grid data under normal as well as fault conditions. The signal decomposition is done using wavelet transform, followed by the de-correlation using PCA, to achieve maximum compression, while simultaneously preserving the dominant modes of the signal and bad data rejection. The optimum decomposition scale of wavelet transform is selected based on the energy of wavelet coefficients in each scale. The proposed algorithm employing multiscale PCA computes the principal components of the wavelet coefficients at each scale, followed by combining the results at relevant scales. The wavelet coefficients of a particular scale corresponding to the dominant eigen values are retained for signal compression. The dominant modes in the signal are sorted based on their energy content. This overcomes the drawback of false detection of modes and lower accuracy of estimation which arises when systems of higher order are used. Prony analysis is performed to check ability of the compression strategy to preserve the modal information. The phasor data are simulated under fault conditions in the IEEE 30-bus system. The results from Prony analysis indicate that multiscale PCA effectively compresses the disturbance signals while preserving the model information of the signal.

关键词： Smart Grid data Data compression Wavelet decomposition Multiscale PCA Prony analysis

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25th Annual Computational Neuroscience Meeting CNS-2016, Seogwipo City, South Korea, July 2-7, 2016 Abstracts

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BMC NEUROSCIENCE 2016年第1期17卷 1-112页

作者： [Anonymous] Computational Neurobiology Laboratory The Salk Institute for Biological Studies San Diego USA UNIC CNRS Gif sur Yvette France The European Institute for Theoretical Neuroscience (EITN) Paris France ATR Computational Neuroscience Laboratories Kyoto Japan Krembil Research Institute University Health Network Toronto Canada Department of Physiology University of Toronto Toronto Canada Department of Medicine (Neurology) University of Toronto Toronto Canada Department of Physics University of New Hampshire Durham USA Department of Neurophysiology Nencki Institute of Experimental Biology Warsaw Poland Department of Theory Wigner Research Centre for Physics of the Hungarian Academy of Sciences Budapest Hungary Department of Mathematical Sciences KAIST Daejoen Republic of Korea Department of Mathematics University of Houston Houston USA Department of Biochemistry & Cell Biology and Institute of Biosciences and Bioengineering Rice University Houston USA Department of Biology and Biochemistry University of Houston Houston USA Grupo de Neurocomputación Biológica Dpto. de Ingeniería Informática Escuela Politécnica Superior Universidad Autónoma de Madrid Madrid Spain Department of Biological Sciences University of Southern California Los Angeles USA Center for Neuroscience Korea Institute of Science and Technology Seoul South Korea Department of Neurology Albert Einstein College of Medicine Bronx USA Center for Neuroscience KIST Seoul South Korea Department of Neuroscience University of Science and Technology Daejon South Korea Systems Neuroscience Group QIMR Berghofer Medical Research Institute Herston Australia Department of Psychology Yonsei University Seoul South Korea Department of Psychiatry Kyung Hee University Hospital at Gangdong Seoul South Korea Department of Psychiatry Veterans Administration Boston Healthcare System and Harvard Medical School Brockton USA Department of Electrical and Electronic Engineering The University of Melbourne Parkvil

A1 Functional advantages of cell-type heterogeneity in neural circuits Tatyana O. Sharpee A2 Mesoscopic modeling of propagating waves in visual cortex Alain Destexhe A3 Dynamics and biomarkers of mental disorders Mitsuo Kawato F1 Precise recruitment of spiking output at theta frequencies requires dendritic h-channels in multi-compartment models of oriens-lacunosum/moleculare hippocampal interneurons Vladislav Sekulić, Frances K. Skinner F2 Kernel methods in reconstruction of current sources from extracellular potentials for single cells and the whole brains Daniel K. Wójcik, Chaitanya Chintaluri, Dorottya Cserpán, Zoltán Somogyvári F3 The synchronized periods depend on intracellular transcriptional repression mechanisms in circadian clocks. Jae Kyoung Kim, Zachary P. Kilpatrick, Matthew R. Bennett, Kresimir Josić O1 Assessing irregularity and coordination of spiking-bursting rhythms in central pattern generators Irene Elices, David Arroyo, Rafael Levi, Francisco B. Rodriguez, Pablo Varona O2 Regulation of top-down processing by cortically-projecting parvalbumin positive neurons in basal forebrain Eunjin Hwang, Bowon Kim, Hio-Been Han, Tae Kim, James T. McKenna, Ritchie E. Brown, Robert W. McCarley, Jee Hyun Choi O3 Modeling auditory stream segregation, build-up and bistability James Rankin, Pamela Osborn Popp, John Rinzel O4 Strong competition between tonotopic neural ensembles explains pitch-related dynamics of auditory cortex evoked fields Alejandro Tabas, André Rupp, Emili Balaguer-Ballester O5 A simple model of retinal response to multi-electrode stimulation Matias I. Maturana, David B. Grayden, Shaun L. Cloherty, Tatiana Kameneva, Michael R. Ibbotson, Hamish Meffin O6 Noise correlations in V4 area correlate with behavioral performance in visual discrimination task Veronika Koren, Timm Lochmann, Valentin Dragoi, Klaus Obermayer O7 Input-location dependent gain modulation in cerebellar nucleus neurons Maria Psarrou, Maria Schilstra, Neil Davey, Benjamin Torben-Ni

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Energy-sorted Prony analysis for identification of dominant low frequency oscillations

Energy-sorted Prony analysis for identification of dominant ...

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Australian Control Conference (AUCC)

作者： V. S. Patel S. K. Bhil F. S. Kazi S. R. Wagh Faculty of Electrical Engineering Centre of Excellence (CoE) in Complex and Nonlinear Dynamical Systems Mumbai India

In modern power system, the large size areas are interconnected for better power pooling that results in increased system inertia. However, this makes power to flow over long distances and pushing tie lines to operate closer to their maximum capacity. Operating tie lines closer to maximum capacity increases the possibility of inter-area oscillations (0.1-1 Hz) between two areas and is dominating near high load density area. The modern power system with growing interconnection creates more challenges in inter-area stability analysis. This paper proposes energy-sorted Prony method for online identification of dominant modes corresponding to Low Frequency Electromechanical Oscillations (LFEOs) in highly interconnected power system using Phasor Measurement Unit (PMU) data. The proposed method overcomes the disadvantage of higher false alarm rate of basic Prony method. This disadvantage is due to trivial modes that get introduced because of higher order system used in basic Prony method. The proposed method introduces a new methodology that uses the energy-sorted Prony that calculates the energy of all modes and sorts them according to energy content, this reduces the higher false alarm rate. To verify the effectiveness of the proposed method, a test signal and a two-area, four-machine system are used and the simulated results are presented.

关键词： Signal to noise ratio Damping Oscillators Power system stability Phasor measurement units Acceleration

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Dual Quaternion Applications to Bioinformatics for Kinematical Analysis of Protein Backbone

Dual Quaternion Applications to Bioinformatics for Kinematic...

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International Conference on Advances in Computing, Communications and Informatics

作者： Isha Wasnik Rucha Sawlekar Faruk Kazi Navdeep Singh Centre of Excellence in Complex and Nonlinear Dynamical Systems Veermata Jijabai Technological Institute (VJTI)

ISBN: (纸本)9781467361262

Bioinformatics has opened up interesting and challenging area for interdisciplinary research. One of the main component of research in bioinformatics and structural Biology is to model the protein folding phenomenon. Proteins are highly flexible objects, that are capable of organizing themselves into specific three dimensional structures through conformational changes called protein folding. We need a measure to express how much a molecule changes, going from one conformation to another or how two conformations differ from each other. The paper presents a method for optimal alignment of a Protein Backbone with respect to another. Two protein structures 1YRF and 1VII from the Protein Data Bank (PDB entry) of the villin headpiece subdomain are considered for analysis. Kabsch Method for optimal orientation is used which consists of finding the optimal translation and rotation. The technique used minimizes the inter-molecular distance measure (Root Mean Square Deviation) RMSD. Dual quaternion is used to find the translation and the rotation is performed with optimal Quaternion for exact orientation.

关键词： RMSD BioInformatics Protein Folding Dual Quaternion Optimization

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