Trajectory

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A trajectory is the path that a moving object follows through space as a function of time. The object might be a projectile or a satellite, for example. It thus includes the meaning of orbit—the path of a planet, an asteroid or a comet as it travels around a central mass. (Wikipedia.org)






Conferences related to Trajectory

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2018 15th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)

AVSS 2018 addresses underlying theory, methods, systems, and applications of video and signal based surveillance.


2018 15th International Workshop on Advanced Motion Control (AMC)

1. Advanced Motion Control2. Haptics, Robotics and Human-Machine Systems3. Micro/Nano Motion Control Systems4. Intelligent Motion Control Systems5. Nonlinear, Adaptive and Robust Control Systems6. Motion Systems for Robot Intelligence and Humanoid Robotics7. CPG based Feedback Control, Morphological Control8. Actuators and Sensors in Motion System9. Motion Control of Aerial/Ground/Underwater Robots10. Advanced Dynamics and Motion Control11. Motion Control for Assistive and Rehabilitative Robots and Systems12. Intelligent and Advanced Traffic Controls13. Computer Vision in Motion Control14. Network and Communication Technologies in Motion Control15. Motion Control of Soft Robots16. Automation Technologies in Primary Industries17. Other Topics and Applications Involving Motion Dynamics and Control


2018 20th European Conference on Power Electronics and Applications (EPE'18 ECCE Europe)

Energy conversion and conditioning technologies, power electronics, adjustable speed drives and their applications, power electronics for smarter grid, energy efficiency,technologies for sustainable energy systems, converters and power supplies


2018 24th International Conference on Pattern Recognition (ICPR)

ICPR will be an international forum for discussions on recent advances in the fields of Pattern Recognition, Machine Learning and Computer Vision, and on applications of these technologies in various fields

  • 2016 23rd International Conference on Pattern Recognition (ICPR)

    ICPR'2016 will be an international forum for discussions on recent advances in the fields of Pattern Recognition, Machine Learning and Computer Vision, and on applications of these technologies in various fields.

  • 2014 22nd International Conference on Pattern Recognition (ICPR)

    ICPR 2014 will be an international forum for discussions on recent advances in the fields of Pattern Recognition; Machine Learning and Computer Vision; and on applications of these technologies in various fields.

  • 2012 21st International Conference on Pattern Recognition (ICPR)

    ICPR is the largest international conference which covers pattern recognition, computer vision, signal processing, and machine learning and their applications. This has been organized every two years by main sponsorship of IAPR, and has recently been with the technical sponsorship of IEEE-CS. The related research fields are also covered by many societies of IEEE including IEEE-CS, therefore the technical sponsorship of IEEE-CS will provide huge benefit to a lot of members of IEEE. Archiving into IEEE Xplore will also provide significant benefit to the all members of IEEE.

  • 2010 20th International Conference on Pattern Recognition (ICPR)

    ICPR 2010 will be an international forum for discussions on recent advances in the fields of Computer Vision; Pattern Recognition and Machine Learning; Signal, Speech, Image and Video Processing; Biometrics and Human Computer Interaction; Multimedia and Document Analysis, Processing and Retrieval; Medical Imaging and Visualization.

  • 2008 19th International Conferences on Pattern Recognition (ICPR)

    The ICPR 2008 will be an international forum for discussions on recent advances in the fields of Computer vision, Pattern recognition (theory, methods and algorithms), Image, speech and signal analysis, Multimedia and video analysis, Biometrics, Document analysis, and Bioinformatics and biomedical applications.

  • 2002 16th International Conference on Pattern Recognition


2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invitedsessions 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 postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE


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Antennas and Propagation, IEEE Transactions on

Experimental and theoretical advances in antennas including design and development, and in the propagation of electromagnetic waves including scattering, diffraction and interaction with continuous media; and applications pertinent to antennas and propagation, such as remote sensing, applied optics, and millimeter and submillimeter wave techniques.


Audio, Speech, and Language Processing, IEEE Transactions on

Speech analysis, synthesis, coding speech recognition, speaker recognition, language modeling, speech production and perception, speech enhancement. In audio, transducers, room acoustics, active sound control, human audition, analysis/synthesis/coding of music, and consumer audio. (8) (IEEE Guide for Authors) The scope for the proposed transactions includes SPEECH PROCESSING - Transmission and storage of Speech signals; speech coding; speech enhancement and noise reduction; ...


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 ...


Biomedical Circuits and Systems, IEEE Transactions on

The Transactions on Biomedical Circuits and Systems addresses areas at the crossroads of Circuits and Systems and Life Sciences. The main emphasis is on microelectronic issues in a wide range of applications found in life sciences, physical sciences and engineering. The primary goal of the journal is to bridge the unique scientific and technical activities of the Circuits and Systems ...


Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


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Most published Xplore authors for Trajectory

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Xplore Articles related to Trajectory

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Leader-Follower Trajectory Control for Quadrotors via Tracking Differentiators and Disturbance Observers

[{u'author_order': 1, u'affiliation': u'Tianjin Key Laboratory of Process Measurement and Control, School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China.', u'full_name': u'Hongjiu Yang'}, {u'author_order': 2, u'affiliation': u"School of Astronautics, Northwestern Polytechnical University, Xi'an 710072, China.", u'full_name': u'Lei Cheng'}, {u'author_order': 3, u'affiliation': u'School of Automation, Beijing Institute of Technology, Beijing 100081, China (e-mail: zhangjinh@bit.edu.cn).', u'full_name': u'Jinhui Zhang'}, {u'author_order': 4, u'affiliation': u'School of Automation, Beijing Institute of Technology, Beijing 100081, China.', u'full_name': u'Yuanqing Xia'}] IEEE Transactions on Systems, Man, and Cybernetics: Systems, None

In this paper, both a trajectory tracking controller and a position controller are investigated for leader-follower trajectory control of quadrotors. A tracking differentiator is designed to generate speed signals for the quadrotors which are composed of a leader and some followers. Based on state errors between the leader and followers, a nonlinear disturbance observer is used in the trajectory tracking ...


Global Robust Adaptive Trajectory Tracking Control for Surface Ships Under Input Saturation

[{u'author_order': 1, u'affiliation': u'National Center for International Research of Subsea Engineering Technology and Equipment, School of Marine Electrical Engineering, Dalian Maritime University, Dalian 116026, China (e-mail: zhuguibing2003@163.com).', u'full_name': u'Guibing Zhu'}, {u'author_order': 2, u'affiliation': u'National Center for International Research of Subsea Engineering Technology and Equipment, School of Marine Electrical Engineering, Dalian Maritime University, Dalian 116026, China (e-mail: dujl66@163.com).', u'full_name': u'Jialu Du'}] IEEE Journal of Oceanic Engineering, None

In this paper, we investigate the trajectory tracking control problem of surface ships subject to unknown parameters, unknown time-varying disturbances, and input saturation. The input saturation is approximated using a Gaussian error function. The compounded uncertain term caused by the unknown parameters and disturbances is transformed into a linear parametric form with a single parameter called virtual parameter. Then, a ...


Yaw-Guided Trajectory Tracking Control of an Asymmetric Underactuated Surface Vehicle

[{u'author_order': 1, u'affiliation': u'School of Marine Electrical Engineering, Dalian Maritime University, 12421 Dalian China 116026 (e-mail: n.wang.dmu.cn@gmail.com)', u'full_name': u'Ning Wang'}, {u'author_order': 2, u'affiliation': u'Taipei Taiwan 106 (e-mail: sfsu@mail.ntust.edu.tw)', u'full_name': u'Shun-Feng Su'}, {u'author_order': 3, u'affiliation': u'School of Marine Engineering, Dalian Maritime University, 12421 Dalian, Liaoning China 116026 (e-mail: panxx@dlmu.edu.cn)', u'full_name': u'Xinxiang Pan'}, {u'author_order': 4, u'affiliation': u'Department of Mechanical, Industrial and Aerospace Engineering, Montreal, Quebec Canada H3G 1M8 (e-mail: xiangyu1110@gmail.com)', u'full_name': u'Xiang Yu'}, {u'author_order': 5, u'affiliation': u'College of Engineering, Peking University, Beijing, Beijing China 100871 (e-mail: xiegming@pku.edu.cn)', u'full_name': u'Guangming Xie'}] IEEE Transactions on Industrial Informatics, None

In this paper, suffering from both complex uncertainties and underactuations,$accurate$trajectory tracking control problem of an asymmetric underactuated surface vehicle (AUSV) is first addressed by guiding yaw dynamics which are$free of persistent excitation (PE)$. Using nested coordinate transformations, the AUSV is formulated in a cascade structure consisting of translation and rotation subsystems with complex uncertainties. Finite-time uncertainty observers (FUOs) are devised ...


Visual Tracking and Depth Estimation of Mobile Robots Without Desired Velocity Information

[{u'author_order': 1, u'affiliation': u'State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou 310027, China.', u'full_name': u'Kaixiang Zhang'}, {u'author_order': 2, u'affiliation': u'State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou 310027, China (e-mail: jchen@zju.edu.cn).', u'full_name': u'Jian Chen'}, {u'author_order': 3, u'affiliation': u'State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou 310027, China.', u'full_name': u'Yang Li'}, {u'author_order': 4, u'affiliation': u'State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou 310027, China.', u'full_name': u'Xinfang Zhang'}] IEEE Transactions on Cybernetics, None

In this paper, a visual servoing approach is developed for the trajectory tracking control and depth estimation problem of a mobile robot without a priori knowledge about desired velocities. By exploiting the multiple images captured by the on-board camera, the current and desired poses (i.e., scaled translation and orientation) of the mobile robot are reconstructed to define system errors. Then, ...


Control of a Driftless Bilinear Vector Field on n-Sphere

[{u'author_order': 1, u'affiliation': u'Robotics, SigTuple Technologies Pvt. Ltd, Chennai India 600042 (e-mail: m.vijay.india@gmail.com)', u'full_name': u'Vijay Muralidharan'}, {u'author_order': 2, u'affiliation': u'Electrical Engineering, Indian Institute of Technology Madras, Chennai, Tamilnadu India 600036 (e-mail: arun_dm@iitm.ac.in)', u'full_name': u'Arun D. Mahindrakar'}, {u'author_order': 3, u'affiliation': u'Electrical Engineering, Indian Institute of Technology Madras, Chennai, Tamil Nadu India 600036 (e-mail: akshitsaradagi@gmail.com)', u'full_name': u'Akshit Saradagi'}] IEEE Transactions on Automatic Control, None

In this paper we consider a multi-input driftless bilinear system evolving on the$n$-dimensional sphere$S^n$. We first provide examples drawn from rigid body mechanics that provide the motivation for the control of bilinear systems on$S^n$. For the general framework, we establish the global controllability on$S^n$and propose two linear control laws on$S^n$that achieve asymptotic stabilization of an equilibrium point with an almost ...


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eLearning

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IEEE-USA E-Books

  • 3 The Political Economy of Energy Poverty

    The prevalence of energy poverty among developing countries today masks substantial variation in their trajectories. Some countries have progressed in their efforts to reduce energy poverty in leaps and bounds over the past two decades. Others have achieved little. Furthermore, there is much more progress in rural electrification than in the provision of modern cooking fuels. How can we explain this variation? How can we explain the varying energy access trajectories of countries that had achieved virtually no electrification or modern fuel access for cooking before the beginning of World War II— that is, most of Asia, Africa, and Latin America?

  • 1 Introduction: After the Breach

    Cybersecurity incidents have a short shelf life. As I write this, in fall 2017, the breaches of the moment are the theft of 145.5 million Americans' information from the credit bureau Equifax, the compromise of three billion Yahoo user accounts, and the Russian government's theft of sensitive National Security Agency documents from a government contractor's home computer. But by the time you read this those incidents will have long since been eclipsed by dozens of other high-profile breaches. We read about the most recent data breaches in the headlines for a few days, maybe weeks, after they are publicly announced—we learn how many records were stolen, or the most embarrassing secrets revealed in the breach, we find out who will be fired and who will sue—and then these stories typically fade from our consciousness as they are overshadowed by newer, bigger, even more dramatic incidents. The most recent cybersecurity breaches grab our attention not just because they are breaking news, but also because there's a strong sense that the older incidents, the ones that happened a few months ago—or, even worse, a few years ago—have nothing to teach us because they are already hopelessly out-of-date, and our adversaries have moved on to new tactics and technologies. Why waste time and resources learning how to defend against yesterday's attacks in the face of constantly evolving threats?

  • Principal Concepts of Fractal Theory and Self‐Similar Processes

    This chapter contains sections titled:Fractals and MultifractalsSelf‐Similar Processes‘Heavy Tails’Hurst Exponent EstimationHurst Exponent Estimation ProblemsSelf‐Similarity Origins in Telecommunication TrafficReferences

  • Mars Science Laboratory

    This chapter is written from the perspective that the Mars Science Laboratory (MSL) spacecraft was launched in 2011; it cruised to Mars; it went through entry, descent, and landing (EDL) in 2012; and the MSL curiosity rover has since operated on the surface of Mars. MSL's initial telecom capability after launch employed a non‐directive low‐gain antenna (LGA) and depended on the spacecraft orientation and the limited distance between Earth and the spacecraft. The chapter contains more detailed information regarding the EDL communications geometry and the rationale behind the 135‐deg orbiter and the 75‐deg Earth angles from the antivelocity vector for relay and DTE coverage. The X‐band subsystem (with DSDST, RSDST, TWTA, and SSPA as the active elements) was primary for cruise through EDL and is also used for DFEs, DTEs, and beeps during surface communications. EDL was a critical and the most anticipated communications mission phase.

  • Force and Torque

    In this chapter, an energy-based approach to the calculation of force and torque is set forth. Two variations of the approach are considered. In the first variation a macroscopic view of the device is taken. The second variation of the approach views the device microscopically. The chapter focuses on the evaluation of an expression for the energy in the coupling field. Once an expression for field energy has been derived an expression for force is readily obtained. The chapter considers the more common case where flux linkage is expressed as a function of current and position. It also shows that the co-energy provides a useful vehicle in the calculation of force. The chapter also considers a microscopic device view in which the flux linkage equations need not be explicitly formulated. This approach facilitates the calculation of force or torque when using magnetic equivalent circuit analysis.

  • Intersection Monitoring Using Computer Vision Techniques for Capacity, Delay, and Safety Analysis

    In this chapter, intersection analysis including capacity, delay, and safety is presented using computer vision techniques. An intersection appropriate vision‐based tracking system is presented, which aims to provide long‐term tracks of road users provide classification (i.e., vehicle and pedestrian) and handle the partial occlusion problem. Road trajectories are further investigated and modeled to provide road user count, vehicle queue length, and safety analysis including accidents and conflicts. Since accidents are infrequent events, surrogate safety measurements were leveraged to provide conflict severity measures at intersection facilities. Finally, technology‐enhanced safety for all participants, including vehicles, drivers, and pedestrians, through communication and sharing of dynamic profiles between infrastructure and cooperative vehicles is highlighted.

  • Random Walk Models

    None

  • A HOIM‐Based Iterative Learning Control Scheme for Multi‐agent Formation

    By incorporating a high order internal model into the learning process, ILC is extended to solve an iteratively switching formation control problem.

  • Multi‐agent Consensus Tracking with Input Sharing by Iterative Learning Control

    A novel input sharing ILC is developed. It allows agents to share learned information among neighbors, which improves convergence speed and also smooths transient performance.

  • Microscopic Vehicular Mobility Models

    This chapter contains sections titled:Simple Microscopic Mobility ModelsThe SUMO Mobility ModelIntegrating Vehicular Mobility and Wireless Network SimulationReferences



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