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2nd IFAC Workshop on Automatic control in Offshore Oil and Gas Production, OOGP 2015

作者： Faria, Rafael O. Kucharczak, Florentin Freitas, Gustavo M. Leite, Antonio C. Lizarralde, Fernando Galassi, Mauricio From, Pål J. Department of Electrical Engineering COPPE Federal University of Rio de Janeiro Rio de Janeiro Brazil Department of Control Vision and Robotics Télécom Physique Strasbourg Strasbourg France Petrobras Research and Development Center CENPES Rio de Janeiro Brazil Department of Mathematical Sciences and Technology Norwegian University of Life Science Ås Norway

This work presents a methodology for autonomous manipulation of valves using a dual-arm robot and the visual sensing provided by cameras mounted on the head and each robot arm. A novel image-based identification and pose estimation method is devised to determine the valve to be manipulated as well as to estimate its position and orientation with respect to the robot base. The valve pose is used in the positioning and alignment of the robot end effector enabling the manipulation task to be carried out autonomously. Experimental results, obtained with a Baxter™ robot performing valve turning tasks, illustrate the feasibility of the proposed methodology. The main objective of this work is to provide capabilities to develop new solutions and innovative technologies to deal with the challenge of manipulating valves autonomously in poorly structured and harsh environments. © 2015, IF AG.

关键词： End effectors

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Generalization of optimal motion trajectories for bipedal walking

Generalization of optimal motion trajectories for bipedal wa...

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IEEE/RSJ International Conference on Intelligent Robots and Systems

作者： A. Werner D. Trautmann Dongheui Lee R. Lampariello German Aerospace Center (DLR) Institute of Robotics and Mechatronics Chair of Automatic Control Engineering Department of Electrical and Computer Engineering Technische Universität München (TUM)

control of robot locomotion profits from the use of pre-planned trajectories. This paper presents a way to generalize globally optimal and dynamically consistent trajectories for cyclic bipedal walking. A small task-space consisting of stride-length and step time is mapped to spline parameters which fully define the optimal joint space motion. The paper presents the impact of different machine learning algorithms for velocity and torque optimal trajectories with respect to optimality and feasibility. To demonstrate the usefulness of the trajectories, a control approach is presented that allows general walking including transitions between points in the task-space.

关键词： Trajectory Legged locomotion Machine learning algorithms Cost function Splines (mathematics)

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Optimized Kalman Filter Based on Second Momentum and Triple Rectangular for Cell Tracking on Sequential Microscopic Images

Optimized Kalman Filter Based on Second Momentum and Triple ...

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Iranian Conference on Biomedical engineering

作者： Vahid Khodadadi Emad Fatemizadeh S. Kamaledin Setarehdan Department of biomedical Engineering Science and Research Branch Islamic Azad University Electrical engineering department Sharif University of Technology Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering Faculty of Engineering University of Tehran

ISBN: (纸本)9781467393522

Cell dynamics and motion stages are very important issues in the biological cell investigation. in this novel method, we propose a novel method based on Kalman filter and second momentum for tracking cells on Sequential Microscopic Images. In proposed manner at first, we select a cell and cut covering rectangle. in the next step, we predict rectangle center of the cell in Next frame based on a modeling of velocity-acceleration using Kalman filter. The rectangle with triple covering area of previous cell rectangle and predicting center by Kalman filter is considered as a searching area. So, if all objects in the search areas have second momentum error less than threshold, it is selected as a chosen cell and we continue this process till all cells are track. OKF (optimized Kalman filter) algorithm uses second momentum for detecting cells because;value of second momentum doesn't change with rotating cells or changing size. OKF method removes cell after tracking in every frame. So, tracking has an acceptable and excellent precision for tracking in another cell. Also, the algorithm finds cells between frames by changing the reference frame and removing were tracked cells. Performance results of OKF show the proposed method is very admissible, effective method and the work shows great assistance for the cell Cytoplasm tracking. Finally, cells tracking with 98.17% accuracy were achieved by using OKF algorithm.

关键词： Kalman filter Second Momentum Cell Tracking Triple Rectangular OKF Method

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Overlapped Cells Separation Algorithm Based on Morphological System Using Distance Minimums in Microscopic Images

Overlapped Cells Separation Algorithm Based on Morphological...

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Iranian Conference on Biomedical engineering

ISBN: (纸本)9781467393522

It is important to distinguish overlapped cell for tracking and segmentation biological cells from images. In this research, a novel or comprehensive method is provided with morphological features of cell and minimum distance for overlapped cells separation (OCS). it's necessary to say that this algorithm is not based on type and number of Overlapped cells. In this presented method based on a distance chart. At first, every cell or rectangle of cell is separated of the original image. Also, multiplex cell is distinguished by using minimum perimeter polygon (MPP) method. Distance chart is achieved on the base of morphological procedure and Computing of cell boundary distance to Cell middle axis in different epochs. By achieving the absolute minimum distance chart, candidate cutting points is detected and separated. Experimental results show the offered method is very effective and the work shows great assistance for the cell Cytoplasm segmentation. At the end, recognition accuracy and 97.4% separation for cells is achieved by this method.

关键词： Overlapped cells Extremum Perpendicular lines Skeleton Concavity areas

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Consensus of Multi-agent Systems with Double-Integrator Dynamics in the Presence of Moving Obstacles

Consensus of Multi-agent Systems with Double-Integrator Dyna...

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Conference on control Applications

作者： N. Mehdipour F. Abdollahi M. Mirzaei Center of Excellence on Control and Robotics Department of Electrical Engineering Amirkabir University of Technology Tehran 15914 Iran

ISBN: (纸本)9781479977970

This paper presents a decentralized consensus control scheme for a group of agents in the presence of moving obstacles. A new control approach is proposed for pop-up dynamic obstacle avoidance for mobile robots while achieving consensus. The algorithm employs formation control to keep a pre-defined distance between agent and obstacle. Using Lyapunov stability analysis, asymptotic convergence of agents is proved outside the obstacle detection region and obstacle avoidance controller guarantees the whole system to be stable inside the obstacle detection region. The efficiency of the proposed control algorithm is verified by simulation results.

关键词： agent obstacle simulation results

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A stable nonlinear in parameter neural network controller for a class of saturated nonlinear systems 19

A stable nonlinear in parameter neural network controller fo...

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

作者： Esfandiari, K. Abdollahi, F. Talebi, H.A. Center of Excellence on Control and Robotics Department of Electrical Engineering AmirKabir University of Technology Tehran Iran Department of Electrical and Computer Engineering Concordia University MontrealQC Canada

ISBN: (纸本)9783902823625

This paper deals with the tracking problem for a class of uncertain nonlinear systems subjected to actuator saturation constraint. Despite most of proposed control schemes for saturated systems which employed linear in parameter neural networks (LPNNs), in the present work nonlinear in parameter neural network (NLPNN) is introduced to support global approximation property. To compensate the effect of the input saturation constraint an auxiliary system is introduced and the error dynamics are modified based on the auxiliary states. Then, learning rules are achieved based on the back propagation (BP) algorithm and by adding two robustifying terms to the standard BP learning rules the stability of the overall system is ensured via Lyapunov direct method. Finally simulations performed on a "generalized pendulum" nonlinear system to illustrate the effectiveness of the proposed tracking control scheme. © IFAC.

关键词： Adaptive control systems

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Pursuit formation control scheme for double-integrator multi-agent systems 19

Pursuit formation control scheme for double-integrator multi...

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

作者： Rezaee, Hamed Abdollahi, Farzaneh Center of Excellence on Control and Robotics Department of Electrical Engineering AmirKabir University of Technology Tehran Iran Department of Electrical and Computer Engineering Concordia University MontrealQC Canada

ISBN: (纸本)9783902823625

Pursuit formation control of double-integrator Multi-Agent Systems (MASs) is considered in this paper. To achieve a formation, a hierarchical control scheme is proposed in two layers. In the first layer, in a leaderless architecture, each agent pursues another one in a cyclic topology to achieve a regular polygon formation around a centroid, namely, pursuit centroid, and in the second layer, the agents agree on a pursuit centroid around which they pursue each other. Despite existing cyclic pursuit approaches in the literature which are based on agents with kinematic models and constant forward speeds, the proposed approach is based on agents with double-integrator dynamics without speed constraints. Numerical simulations for a team of six agents confirm the accuracy of the proposed control scheme. © IFAC.

关键词： Multi agent systems

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${\cal H}_{\infty}$ Based Motion Synchronization in Formation Flight With Delayed Communications

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IEEE Transactions on Industrial Electronics 2014年第11期61卷 6175-6182页

作者： Hamed Rezaee Farzaneh Abdollahi Heidar A. Talebi Center of Excellence on Control and Robotics Department of Electrical Engineering Amirkabir University of Technology Tehran Iran Center of Excellence on Control and Robotics Department of Electrical Engineering Concordia University Montreal Canada Center of Excellence on Control and Robotics Department of Electrical Engineering University of Western Ontario London Canada

This paper proposes an H ∞ control strategy for swarm formation of multiple-unmanned aircraft systems based on the virtual structure considering wind effects and measurement noise. The proposed strategy provides a rigid body formation of unmanned aircraft with motion synchronization in a decentralized manner. Unlike the current strategies in the literature, which consider motion synchronization in specific topologies, this approach proposes a general topology for coupling agents and guarantees the stability of the multiagent system in the presence of communication delays. Simulation results for a multiple-unmanned aircraft system confirm the accuracy of the proposed control strategy for formation flight.

关键词： Synchronization Vectors Aircraft Couplings Eigenvalues and eigenfunctions Tracking Noise

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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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Indirect adaptive hierarchical fuzzy sliding mode controller for a class of nonlinear systems

Indirect adaptive hierarchical fuzzy sliding mode controller...

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Iranian Joint Congress on Fuzzy and Intelligent Systems (CFIS)

作者： Mohammad Mansouri Mohammad Teshnehlab Electrical and Computer engineering department K.N. Toosi University Tehran Iran Center of Excellence in Industrial Control K.N. Toosi University Tehran Iran

This study presents a novel indirect adaptive hierarchical fuzzy sliding mode controller for a class of high-order SISO nonlinear systems with unknown function in the presence of bounded disturbance. The hierarchical fuzzy system is able to reduce the number of rules and parameters with respect to ordinary fuzzy systems. On-line tuning algorithm for consequent part parameters of fuzzy rules in different layer of hierarchical fuzzy system is derived using defined Lyapunov function. It is proved that the suggested adaptive scheme can achieve asymptotically stable tracking of a reference input with guarantee of the bounded system signals. To show the effectiveness of the proposed method, control of flexible joint robot system is considered in simulations. The simulation results demonstrate the validity, efficiency and feasibility of the proposed approach to control of nonlinear dynamic system.

关键词： Fuzzy systems Adaptive control Nonlinear dynamical systems Sliding mode control Lyapunov methods

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