Conferences related to Dynamics

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2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invited sessions of the latest significant findings and developments in all the major fields of biomedical engineering. Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and poster sessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE.

  • 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

    The conference will cover diverse topics ranging from biomedical engineering to healthcare technologies to medical and clinical applications. The conference program will consist of invited plenary lectures, symposia, workshops, invited sessions and oral and poster sessions of unsolicited contributions. All papers will be peer reviewed and accepted papers of up to 4 pages will appear in the Conference Proceedings and be indexed by IEEE Xplore and Medline/PubMed.

  • 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

    The conference program will consist of plenary lectures, symposia, workshops and invited sessions of the latest significant findings and developments in all the major fields of biomedical engineering. Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and poster sessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE.

  • 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

    The Annual International Conference of the IEEE Engineering in Medicine and Biology Society covers a broad spectrum of topics from biomedical engineering and physics to medical and clinical applications. The conference program will consist of invited plenary lectures, symposia, workshops, invited sessions, oral and poster sessions of unsolicited contributions. All papers will be peer reviewed and accepted papers of up to 4 pages will appear in the Conference Proceedings and be indexed by PubMed and EI. Prop

  • 2012 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

    The annual conference of EMBS averages 2000 attendees from over 50 countries. The scope of the conference is general in nature to focus on the interdisciplinary fields of biomedical engineering. Themes included but not limited to are: Imaging, Biosignals, Biorobotics, Bioinstrumentation, Neural, Rehabilitation, Bioinformatics, Healthcare IT, Medical Devices, etc

  • 2011 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

    The annual conference of EMBS averages 2000 attendees from over 50 countries. The scope of the conference is general in nature to focus on the interdisciplinary fields of biomedical engineering. Themes included but not limited to are: Imaging, Biosignals, Biorobotics, Bioinstrumentation, Neural, Rehabilitation, Bioinformatics, Healthcare IT, Medical Devices, etc.

  • 2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

    The annual conference of EMBS averages 2000 attendees from over 50 countries. The scope of the conference is general in nature to focus on the interdisciplinary fields of biomedical engineering. Themes included but not limited to are: Imaging, Biosignals, Biorobotics, Bioinstrumentation, Neural, Rehabilitation, Bioinformatics, Healthcare IT, Medical Devices, etc

  • 2009 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

    The annual conference of EMBS averages 2000 attendees from over 50 countries. The scope of the conference is general in nature to focus on the interdisciplinary fields of biomedical engineering. Themes included but not limited to are: Imaging, Biosignals, Biorobotics, Bioinstrumentation, Neural, Rehabilitation, Bioinformatics, Healthcare IT, Medical Devices, etc

  • 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

    The general theme of EMBC'08 is "Personalized Healthcare through Technology", covering a broad spectrum of topics from biomedical and clinical engineering and physics to medical and clinical applications. Transfer of research results from academia to industry will also be a focus of the conference.

  • 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

  • 2006 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

  • 2005 27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)


2014 IEEE Congress on Evolutionary Computation (CEC)

IEEE Congress on Evolutionary Computation is the largest technical event in the field of evolutionary computation. In 2014, International Joint Conference on Neural Networks will be part of the 2104 IEEE World Congress on Computational Intelligence.

  • 2013 IEEE Congress on Evolutionary Computation (CEC)

    CEC 2013 will bring together researchers and practitioners in the field of evolutionary computation and computational intelligence from around the globe. Theory, applications, algorithmic developments and all other aspects of evolutionary computation and related areas (i.e., any other bio-inspired metaheuristics) are welcome to contribute to this conference.

  • 2012 IEEE Congress on Evolutionary Computation (CEC)

    The annual IEEE CEC is one of the leading events in the field of evolutionary computation.

  • 2011 IEEE Congress on Evolutionary Computation (CEC)

    Annual Congress on Evolutionary Computation.

  • 2010 IEEE Congress on Evolutionary Computation (CEC)

  • 2009 IEEE Congress on Evolutionary Computation (CEC)

    CEC 2009 will feature a world-class conference that aims to bring together researchers and practitioners in the field of evolutionary computation and computational intelligence from all around the globe. Technical exchanges within the research community will encompass keynote speeches, special sessions, tutorials, panel discussions as well as poster presentations.


2014 IEEE International Conference on Robotics and Automation (ICRA)

Robotics and Automation


2014 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2014)

tbd

  • 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2013)

    Papers are solicited in all related areas in robotics and intelligent systems. Proposals for tutorials and workshops, as well as organized/special sessions are also welcome to address the emerging areas and innovative applications of new technologies.

  • 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2012)

    The 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2012) will be held in Vilamoura-Algarve, Portugal, during October 7-11, 2012. The theme of the conference will be Robotics for Quality of Life and Sustainable Development. Papers are solicited in all related areas in robotics and intelligent systems. Proposals for tutorials and workshops, as well as organized/special sessions are also welcome to address the emerging areas and innovative applications of new technologies.

  • 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2011)

    The 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2011) will be held in San Francisco, California, USA, during September 25-30, 2011. The theme of the conference will be Human- Centered Robotics, and its format will feature innovations in the form of interactive multimedia presentations and special-topic symposia celebrating 50 years of robotics.

  • 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2010)

    Papers are solicited in all related areas in robotics and intelligent systems. Proposals and tutorials and workshops, as well as organized/special sessions are also welcome to address the emerging areas and innovative applications of new technologies.


2013 8th IEEE International Conference on Nano/Micro Engineered and Molecular Systems (NEMS)

2013 IEEE NEMS is the 8th annual International Conference on Nano/Micro Engineered and Molecular Systems which started in 2006. It covers Nano science and technology, Micro/nanofluidics and Bio chip, Micro/nano fabrication & metrology, Micro/Nano sensors, actuators and systemd, Flexible MEMS and printed electronics, Carbon Nanotube and Graphene based devices, etc.


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Periodicals related to Dynamics

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Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...


Automation Science and Engineering, IEEE Transactions on

The IEEE Transactions on Automation Sciences and Engineering (T-ASE) publishes fundamental papers on Automation, emphasizing scientific results that advance efficiency, quality, productivity, and reliability. T-ASE encourages interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, operations research, and other fields. We welcome results relevant to industries such as agriculture, biotechnology, healthcare, home automation, maintenance, manufacturing, pharmaceuticals, retail, ...


Industry Applications, IEEE Transactions on

The development and application of electric systems, apparatus, devices, and controls to the processes and equipment of industry and commerce; the promotion of safe, reliable, and economic installations; the encouragement of energy conservation; the creation of voluntary engineering standards and recommended practices.


Oceanic Engineering, IEEE Journal of

Bayes procedures; buried-object detection; dielectric measurements; Doppler measurements; geomagnetism; sea floor; sea ice; sea measurements; sea surface electromagnetic scattering; seismology; sonar; acoustic tomography; underwater acoustics; and underwater radio communication.


Quantum Electronics, IEEE Journal of

Generation, amplification, modulation, detection, waveguiding, or techniques and effects that can affect the propagation characteristics of coherent electromagnetic radiation having submillimeter and shorter wavelengths


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Most published Xplore authors for Dynamics

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Xplore Articles related to Dynamics

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Dynamic Stability Analysis of a Hybrid Wave and Photovoltaic Power Generation System Integrated Into a Distribution Power Grid

Li Wang; Quang-Son Vo; Anton V. Prokhorov IEEE Transactions on Sustainable Energy, 2017

This paper evaluates the dynamic stability of a hybrid wave and photovoltaic (PV) power generation system integrated into a distribution power grid. The wave power-generation system (WPGS) is simulated by a linear permanent magnet generator driven by an Archimedes wave swing (AWS). The outputs of the WPGS and the PV system are connected to a common dc link through a ...


Application of an ant colony system to optimize the total distance and the customers response time for the real time vehicle routing problem

Messaoud Elhassania; Elhilali Alaoui Ahmed; Boukachour Jaouad 2016 3rd International Conference on Logistics Operations Management (GOL), 2016

Transport is one of the largest emission driving forces and has many economic and social impacts. Thus, it is crucial to model and optimize practical transportation problems. In this paper, we present a mathematical model for a Real Time Multi-Objective Vehicle Routing Problem which can be described as the problem of designing optimal delivery or collection routes from one or ...


Application of Reinforcement Learning to autonomous heading control for bionic underwater robots

Longxin Lin; Haibin Xie; Lincheng Shen 2009 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2009

The bionic underwater robot propelled by undulating fins is an interesting field in current research on underwater robots. With the prosperous development of bionic underwater robots, its control problem remains big challenging for strong nonlinearity, uncertainty environments, and lack of understanding of dynamic characteristics of undulating fins. As a model-free method, the Q-learning based reinforcement learning achieves its control motivation ...


The need for a cooperative model: the Adele/Tempo experience

N. Belkhatir; W. L. Melo Proceedings. Ninth International Software Process Workshop, 1994

Our position is that the software process is fundamentally cooperative. We have been developing concepts and mechanism to tackle with cooperation in the Adele/Tempo project. Firstly, we integrated into the Tempo software process formalism a new concept: cooperation classes. In addition, we provided temporal, event-condition-action (TECA) rules in order to monitor and control cooperative activities. Based on TECA rules and ...


Experimental data for two different alternator configurations in a solar Brayton power system

L. S. Mason; R. K. Shaltens; W. D. Espinosa IECEC-97 Proceedings of the Thirty-Second Intersociety Energy Conversion Engineering Conference (Cat. No.97CH6203), 1997

A solar dynamic (SD) space power system has been under test at the NASA Lewis Research Center since 1994. The SD Ground Test Demonstration (GTD) system includes a solar concentrator, heat receiver with thermal energy storage, Brayton power conversion unit and radiator installed in a thermal-vacuum chamber with a solar simulator. The Brayton unit has been operated with two different ...


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Educational Resources on Dynamics

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eLearning

Dynamic Stability Analysis of a Hybrid Wave and Photovoltaic Power Generation System Integrated Into a Distribution Power Grid

Li Wang; Quang-Son Vo; Anton V. Prokhorov IEEE Transactions on Sustainable Energy, 2017

This paper evaluates the dynamic stability of a hybrid wave and photovoltaic (PV) power generation system integrated into a distribution power grid. The wave power-generation system (WPGS) is simulated by a linear permanent magnet generator driven by an Archimedes wave swing (AWS). The outputs of the WPGS and the PV system are connected to a common dc link through a ...


Application of an ant colony system to optimize the total distance and the customers response time for the real time vehicle routing problem

Messaoud Elhassania; Elhilali Alaoui Ahmed; Boukachour Jaouad 2016 3rd International Conference on Logistics Operations Management (GOL), 2016

Transport is one of the largest emission driving forces and has many economic and social impacts. Thus, it is crucial to model and optimize practical transportation problems. In this paper, we present a mathematical model for a Real Time Multi-Objective Vehicle Routing Problem which can be described as the problem of designing optimal delivery or collection routes from one or ...


Application of Reinforcement Learning to autonomous heading control for bionic underwater robots

Longxin Lin; Haibin Xie; Lincheng Shen 2009 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2009

The bionic underwater robot propelled by undulating fins is an interesting field in current research on underwater robots. With the prosperous development of bionic underwater robots, its control problem remains big challenging for strong nonlinearity, uncertainty environments, and lack of understanding of dynamic characteristics of undulating fins. As a model-free method, the Q-learning based reinforcement learning achieves its control motivation ...


The need for a cooperative model: the Adele/Tempo experience

N. Belkhatir; W. L. Melo Proceedings. Ninth International Software Process Workshop, 1994

Our position is that the software process is fundamentally cooperative. We have been developing concepts and mechanism to tackle with cooperation in the Adele/Tempo project. Firstly, we integrated into the Tempo software process formalism a new concept: cooperation classes. In addition, we provided temporal, event-condition-action (TECA) rules in order to monitor and control cooperative activities. Based on TECA rules and ...


Experimental data for two different alternator configurations in a solar Brayton power system

L. S. Mason; R. K. Shaltens; W. D. Espinosa IECEC-97 Proceedings of the Thirty-Second Intersociety Energy Conversion Engineering Conference (Cat. No.97CH6203), 1997

A solar dynamic (SD) space power system has been under test at the NASA Lewis Research Center since 1994. The SD Ground Test Demonstration (GTD) system includes a solar concentrator, heat receiver with thermal energy storage, Brayton power conversion unit and radiator installed in a thermal-vacuum chamber with a solar simulator. The Brayton unit has been operated with two different ...


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IEEE-USA E-Books

  • A Fundamental Tradeoff between Performance and Sensitivity within Haptic Rendering

    In this paper we show that for haptic rendering using position feedback, the structure of the feedback loop imposes a fundamental tradeoff between accurate rendering of virtual environments and sensitivity of closed-loop responses to hardware variations and uncertainty. Due to this tradeoff, any feedback design that achieves high-fidelity rendering incurs a quantifiable cost in terms of sensitivity. Analysis of the tradeoff reveals certain combinations of virtual environment and haptic device dynamics for which performance is achieved only by accepting very poor sensitivity. This analysis may be used to show that certain design specifications are feasible and may guide the choice of hardware to mitigate the tradeoff severity. We illustrate the predicted consequences of the tradeoff with an experimental study.

  • Closed Loop Control of a Gravity-assisted Underactuated Snake Robot with Application to Aircraft Wing-Box Assembly

    Stable, nonlinear closed-loop control of a gravityassisted underactuated robot arm with 2nd order non-holonomic constraints is presented in this paper. The joints of the hyper articulated arm have no dedicated actuators, but are activated with gravity. By tilting the base link appropriately, the gravitational torque drives the unactuated links to a desired angular position. With simple locking mechanisms, the hyper articulated arm can change its configuration using only one actuator at the base. This underactuated arm design was motivated by the need for a compact snake-like robot that can go into aircraft wings and perform assembly operations using heavy end-effecters. The dynamics of the unactuated links are essentially 2nd order nonholonomic constraints, for which there are no general methods for designing closed loop control. We propose an algorithm for positioning the links of an n-link robot arm inside an aircraft wing-box. This is accomplished by sequentially applying a closed loop point-to-point control scheme to the unactuated links. We synthesize a Lyapunov function to prove the convergence of this control scheme. The Lyapunov function also provides us with lower bounds on the domain of convergence of the control law. The control algorithm is implemented on a prototype 3-link system. Finally, we provide some experimental results to demonstrate the efficacy of the control scheme.

  • Learning Omnidirectional Path Following Using Dimensionality Reduction

    We consider the task of omnidirectional path following for a quadruped robot: moving a four-legged robot along any arbitrary path while turning in any arbitrary manner. Learning a controller capable of such motion requires learning the parameters of a very high-dimensional policy class, which requires a prohibitively large amount of data to be collected on the real robot. Although learning such a policy can be much easier in a model (or "simulator") of the system, it can be extremely difficult to build a sufficiently accurate simulator. In this paper we propose a method that uses a (possibly inaccurate) simulator to identify a low-dimensional subspace of policies that is robust to variations in model dynamics. Because this policy class is low-dimensional, we can learn an instance from this class on the real system using much less data than would be required to learn a policy in the original class. In our approach, we sample several models from a distribution over the kinematic and dynamics parameters of the simulator, then use the Reduced Rank Regression (RRR) algorithm to identify a low-dimensional class of policies that spans the space of controllers across all sampled models. We present a successful application of this technique to the task of omnidirectional path following, and demonstrate improvement over a number of alternative methods, including a hand-tuned controller. We present, to the best of our knowledge, the first controller capable of omnidirectional path following with parameters optimized simultaneously for all directions of motion and turning rates.

  • What Bibliometrics Teaches Us about the Dynamics of Science

    This chapter contains sections titled: The Content of a Citation Index, A Tool for Historians and Sociologists of Science, Counting at Different Scales, Disciplinary Differences, Collectivization and Internationalization of Research, Scientific Networks, A Few Myths on Citation Practices, Effect of the SCI on Citation Practices

  • Model-Based Proprioceptive State Estimation for Spring-Mass Running

    Autonomous applications of legged platforms will inevitably require accurate state estimation both for feedback control as well as mapping and planning. Even though kinematic models and low-bandwidth visual localization may be sufficient for fully-actuated, statically stable legged robots, they are inadequate for dynamically dexterous, underactuated platforms where second order dynamics are dominant, noise levels are high and sensory limitations are more severe. In this paper, we introduce a model based state estimation method for dynamic running behaviors with a simple spring-mass runner. By using an approximate analytic solution to the dynamics of the model within an Extended Kalman filter framework, the estimation accuracy of our model remains accurate even at low sampling frequencies. We also propose two new event-based sensory modalities that further improve estimation performance in cases where even the internal kinematics of a robot cannot be fully observed, such as when flexible materials are used for limb designs. We present comparative simulation results to establish that our method outperforms traditional approaches which rely on constant acceleration motion models and that it eliminates the need for an extensive and unrealistic sensor suite.

  • Modeling Object Dynamics

    This chapter contains sections titled: Introduction, Basic Concepts and Definitions, Role Class Operations, Application of Roles, Related Work, Summary, References

  • Aerosols and Clouds in Chemical Transport Models and Climate Models

    Clouds exert major influences on both short- and longwave radiation as well as on the hydrological cycle. Accurate representation of clouds in climate models poses a major problem because of the high sensitivity of radiative transfer and water cycle to cloud properties and processes, an incomplete understanding of these processes, and the wide range of scales over which these processes occur. Small changes in the amount, altitude, physical thickness, and/or microphysical properties of clouds that occur as a result of human influence can exert changes in Earth's radiation budget comparable to the radiative forcing by anthropogenic greenhouse gases, thus either partly offsetting or enhancing the warming due to these gases. Because clouds form on aerosol particles, changes in the amount and/or composition of aerosols affect clouds in various ways. The forcing of the radiation balance due to aerosol-cloud interactions (indirect aerosol effect) has large uncertainties because a variety of important processes are not well understood, precluding their accurate representation in models

  • Dynamical Systems and Interaction Networks

    This chapter first reviews biological models in the framework of dynamical systems. It then illustrates some basic control-theoretic concepts and definitions used in the study of dynamical systems. The chapter also discusses several dynamical models that are typically used in modeling cellular processes and interactions. It then introduces discrete-time Boolean networks. Artificial neural network (ANN) models were originally used to model the connectivities of neurons in brains. Thus, in contrast to cellular signaling networks, ANN models generally have a less direct one-to-one correspondence to biological data. Piecewise linear (PL) systems are quite powerful in modeling biological systems since they may be used as identification models (by means of piecewise linear approximations), or as controllers for more general systems. An interesting class of biological systems with simpler behaved dynamics are systems with monotone dynamics. The dynamics of a monotone system preserves a specific partial order of its inputs over time.

  • An Application of Reinforcement Learning to Aerobatic Helicopter Flight

    Autonomous helicopter flight is widely regarded to be a highly challenging control problem. This paper presents the first successful autonomous completion on a real RC helicopter of the following four aerobatic maneuvers: forward flip and sideways roll at low speed, tail-in funnel, and nose-in funnel. Our experimental results significantly extend the state of the art in autonomous helicopter flight. We used the following approach: First we had a pilot fly the helicopter to help us find a helicopter dynamics model and a reward (cost) function. Then we used a reinforcement learning (optimal control) algorithm to find a controller that is optimized for the resulting model and reward function. More specifically, we used differential dynamic programming (DDP), an extension of the linear quadratic regulator (LQR).

  • Markov Process Fundamentals

    This chapter contains sections titled: Stochastic Processes System Dynamics Matrix-Vector Representation of State-Space Interpretation of State-Space Equations Markov Models Semi-Markov Process State Diagram Approximate Solution of Markov Model



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