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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Spatio-temporal analysis of early brain development

[{u'author_order': 1, u'affiliation': u'Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, 84112, USA', u'full_name': u'Neda Sadeghi'}, {u'author_order': 2, u'affiliation': u'Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, 84112, USA', u'full_name': u'Marcel Prastawa'}, {u'author_order': 3, u'affiliation': u'Department of Psychiatry, University of North Carolina, Chapel Hill, 27599, USA', u'full_name': u'John H. Gilmore'}, {u'author_order': 4, u'affiliation': u'Department of Radiology, University of North Carolina, Chapel Hill, 27599, USA', u'full_name': u'Weili Lin'}, {u'author_order': 5, u'affiliation': u'Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, 84112, USA', u'full_name': u'Guido Gerig'}] 2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers, None

Analysis of human brain development is a crucial step for improved understanding of neurodevelopmental disorders. We focus on normal brain development as is observed in the multimodal longitudinal MRI/DTI data of neonates to two years of age. We present a spatio-temporal analysis framework using Gompertz function as a population growth model with three different spatial localization strategies: voxel-based, data driven ...


Sliding-mode tracking control for uncertain mobile robots

[{u'author_order': 1, u'affiliation': u'Department of Electrical Engineering, I-Shou University, Kaohsiung City, Taiwan', u'full_name': u'Chieh-Chuan Feng'}] 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC), None

The aim of this paper is to introduce a nonlinear error framework for nonholonomic mobile robots for which a robust tracking controller is synthesized such that the overall feedback error system is globally asymptotically stable (GAS); this, in turn, accomplishes the desired trajectory tracking of the control, since the errors are driven to the equilibrium. In contrast to locally asymptotically ...


Static and dynamic friction compensation in trajectory tracking control of robots

[{u'author_order': 1, u'affiliation': u'Sch. of Mech. & Aerosp. Eng., Oklahoma State Univ., Stillwater, OK, USA', u'full_name': u'Yongliang Zhu'}, {u'author_order': 2, u'affiliation': u'Sch. of Mech. & Aerosp. Eng., Oklahoma State Univ., Stillwater, OK, USA', u'full_name': u'P. R. Pagilla'}] Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292), None

This paper deals with friction compensation techniques for accuracy trajectory tracking control of robots. We extend the traditional model-based adaptive control algorithms that are prevalent in the robotics literature with adaptive friction compensation. Adaptive controllers that consider both static and dynamic friction effects in the robot dynamics are proposed. Stability of the proposed adaptive controller with friction compensation is shown. ...


ZD controller for synchronization of Lu chaotic systems with one input

[{u'author_order': 1, u'affiliation': u'School of Data and Computer Science, Sun Yat-sen University (SYSU), Guangzhou 510006, China', u'full_name': u'Yunong Zhang'}, {u'author_order': 2, u'affiliation': u'School of Data and Computer Science, Sun Yat-sen University (SYSU), Guangzhou 510006, China', u'full_name': u'Jiadi Wang'}, {u'author_order': 3, u'affiliation': u'School of Data and Computer Science, Sun Yat-sen University (SYSU), Guangzhou 510006, China', u'full_name': u'Dechao Chen'}, {u'author_order': 4, u'affiliation': u'School of Data and Computer Science, Sun Yat-sen University (SYSU), Guangzhou 510006, China', u'full_name': u'Binbin Qiu'}, {u'author_order': 5, u'affiliation': u'School of Data and Computer Science, Sun Yat-sen University (SYSU), Guangzhou 510006, China', u'full_name': u'Tianjian Qiao'}] 2016 5th International Conference on Computer Science and Network Technology (ICCSNT), None

The synchronization control of Lu chaotic systems is focused on this paper, by using the controller designed by Zhang dynamics (ZD) method, with only one input. The ZD method is a handy and simple method for designing control input. The controller, designed by ZD method, is able to synchronize Lu chaotic systems. Engineering-type steady-state analysis is given to confirm the ...


Doubly robust Kalman smoothing by controlling outlier sparsity

[{u'author_order': 1, u'affiliation': u'Dept. of ECE, Univ. of Minnesota, 200 Union Street SE, Minneapolis, 55455, USA', u'full_name': u'Shahrokh Farahmand'}, {u'author_order': 2, u'affiliation': u'Dept. of ECE, Univ. of Minnesota, 200 Union Street SE, Minneapolis, 55455, USA', u'full_name': u'Daniele Angelosante'}, {u'author_order': 3, u'affiliation': u'Dept. of ECE, Univ. of Minnesota, 200 Union Street SE, Minneapolis, 55455, USA', u'full_name': u'Georgios B. Giannakis'}] 2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers, None

Coping with outliers contaminating dynamical processes is of major importance in various applications because mismatches from nominal models are not uncommon in practice. This paper develops a novel smoothing algorithm that is robust to outliers simultaneously present in the measurements and in the state dynamics. Outliers are handled through auxiliary unknown variables that are jointly estimated along with the state ...


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eLearning

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IEEE-USA E-Books

  • Intent Inference and Detection of Anomalous Trajectories: A Metalevel Tracking Approach

    Classical target tracking assumes a state¿¿¿space model with target maneuvers modeled as a finite state Markov chain. This chapter motivates by metalevel target tracking applications on longer time scales. It develops metalevel tracking algorithms that assist human operators by extracting spatial patterns from target tracks to identify suspicious/anomalous spatial trajectories. The targets' spatial trajectories are modeled by two types of random processes: stochastic context¿¿¿free grammars (SCFGs); and reciprocal random processes. The chapter presents Bayesian filtering and smoothing algorithms for these processes to estimate the trajectories and hence intent of the targets. It describes a system¿¿¿level description of the anomalous trajectory classification problem, discusses the radar tracking framework and provides a mathematical description of trajectory classification. The chapter presents SCFG models and associated signal processing algorithms for trajectory modeling and classification. It considers reciprocal processes for modeling target intent. The parsing of the motion trajectories is implemented with Earley¿¿¿Stolcke parsing algorithm.

  • Introduction

    The stability and performance of a flight vehicle can be analyzed from two distinct perspectives namely, static and dynamic. In aerospace vehicle development, one of the central features is the simulation model of the vehicle dynamics. The dynamic behavior of flight vehicles, such as launch vehicles, re-entry vehicles, and high performance aircraft, is generally studied in two distinct phases. The first phase deals with orbital mechanics and flight trajectory optimization assuming that the vehicle can be perfectly steered. The second study deals with variations of the vehicle from its flight trajectory and they have a relatively shorter period. The control system is typically designed based on linear state-space models that correspond to fixed flight conditions and the gains are interpolated in-between the design points. Launch vehicles are controlled by small deflections of the thrust-vectored- control (TVC) engines relative to their trim positions.

  • Continuous-time Model Predictive Control (CMPC) of Electrical Drives and Power Converter

    A continuous-time model predictive controller uses a continuous-time model in the design and the discretization comes later at the implementation stage. In this chapter, the continuous-time model predictive control algorithms derived by the first author in her previous book are applied to control electrical drives and power converters in the presence of operational constraints. In addition, a gain scheduled predictive controller is proposed to overcome the electrical drives?> nonlinearities where nonlinear circular constraint is simplified using octagon approximation. Experimental results are used to demonstrate the successful applications of the continuous-time model predictive controllers in the presence of constraints.

  • Energy Function Methods

    This chapter discusses in detail the transient energy function (TEF) method for angle stability. In the power literature, Lyapunov's method has become synonymous with the TEF method and has been applied successfully. Today, this technique has proved to be a practical tool in dynamic security assessment. The chapter discusses the potential energy boundary surface (PEBS) method because of its simplicity and its natural relationship to the equal¿¿¿area criterion. The chapter discusses the method through application to a single¿¿¿machine infinite¿¿¿bus system, the equivalence between the energy function and the equal¿¿¿area criterion, and explains the multimachine PEBS method. The energy function, Lyapunov function, and the PEBS are all equivalent in the case of a single¿¿¿machine infinite¿¿¿bus system. For the multimachine case, the chapter explains the PEBS and the boundary controlling u.e.p (BCU). Finally, the structure¿¿¿preserving energy function (SPEF) is derived. The SPEF is an active area of research.

  • Random Walk Models

    **This book highlights the practices for designing effective protocols/applications for next generation wireless networks** In this book, the author provides the reader with an overview of mobility modeling, encompassing both theoretical and practical aspects related to the challenging mobility modeling task. The first part of the book introduces next generation wireless networks, providing motivations for the need of carefully modeling mobility as part of the network performance evaluation process. In addition, it describes "general-purpose" mobility models (i.e., models that are not tailored to specific application scenarios), including both theoretical and practical aspects. Furthermore, the author explores mobility models tailored to specific application scenarios of next generation wireless networks. In particular, the author considers WLAN/mesh networks, vehicular networks, wireless sensor networks, and opportunistic networks. For each considere application scenario, the book briefly presents the state-of-the-art and prospective of the corresponding technology as well as a representative set of mobility models. Finally, the book offers two case studies, which illustrate exemplary situations in which a deep understanding of mobility modeling can be used to devise a "perfect" wireless network simulation methodology (Case study 1), and to characterize fundamental properties of message routing in opportunistic networks, also including social human behavior (Case study 2). _Key Features:_ * Offers an in-depth discussion of the most representative mobility models for major next generation wireless network application scenarios, including WLAN/mesh networks, vehicular networks, wireless sensor networks, and opportunistic networks * Demonstrates the practices for designing effective protocol/applications for next generation wireless networks * Includes case studies showcasing the im ortance of properly understanding fundamental mobility model properties in wireless network performance evaluation _Mobility Models for Next Generation Wireless Networks_ will be an invaluable guide for researchers and engineers in the field of wireless networking, and graduate students in computer science and engineering. It will also be of interest to wireless professionals and networking system developers.

  • Steady-State Security Regions

    This chapter presents the concept and definition of the security region, and introduces major methods used in steady-state security region analysis of power system operation: the security corridor, the traditional expansion method, the enhanced expansion method, linear programming, and the fuzzy set theory. The main idea of security regions is to obtain a set of security injections explicitly so that for security assessment one need only check whether a given injection vector lies within the security region. To enhance the calculation speed of the regions, the following measures: adoption of calculation step, constraints are divided into two groups based on the threshold value shown in the equation, are adopted in the new expanding method. The chapter presents a new approach to construct the steady-state security regions of power systems, that is, the maximal security regions are directly computed using the optimization method.

  • Principal Concepts of Fractal Theory and Self‐Similar Processes

    This chapter contains sections titled: Fractals and Multifractals Self‐Similar Processes 'Heavy Tails' Hurst Exponent Estimation Hurst Exponent Estimation Problems Self‐Similarity Origins in Telecommunication Traffic References

  • Static Performance Analysis Along A Flight Trajectory

    This chapter defines some important parameters that help the analyst evaluate in a static sense the overall performance quality of a generic flight vehicle by processing the flight vehicle data along the trajectory as a function of time. The parameters used in the performance evaluation are: static stability (percent), center of pressure, aerodynamic center (along the x-axis), time to double amplitude in (sec), short-period and Dutch-roll frequencies in (rad/sec), Cn?>-dynamic, the control authority of the effectors as a system to maneuver the vehicle against expected wind disturbances, and the lateral control departure parameter (LCDP) which affects roll controllability. The parameters also include inertial coupling effects that occur between axes due to fast maneuvering, hinge moments at the control surfaces needed for sizing actuators, the bank angle and sideslip angle generated due to cross wind near landing, and the maximum control accelerations along each axis provided by the effectors system.

  • Summary and Future Research Directions

    <p>A timely guide using iterative learning control (ILC) as a solution for multi-agent systems (MAS) challenges, this book showcases recent advances and industrially relevant applications. Readers are first given a comprehensive overview of the intersection between ILC and MAS, then introduced to a range of topics that include both basic and advanced theoretical discussions, rigorous mathematics, engineering practice, and both linear and nonlinear systems. Through systematic discussion of network theory and intelligent control, the authors explore future research possibilities, develop new tools, and provide numerous applications such as power grids, communication and sensor networks, intelligent transportation systems, and formation control. Readers will gain a roadmap of the latest advances in the fields and can use their newfound knowledge to design their own algorithms.</p> <ul> <li>Explores the synergy between the important topics of iterative lear ing control (ILC) and multi-agent systems (MAS) </li> <li>Concisely summarizes recent advances and significant applications in ILC methods for power grids, sensor networks, and control processes</li> <li>Covers basic theory and rigorous mathematics as well as engineering practice</li> </ul><br> <p>Written by experienced researchers, Iterative Learning Control for Multi-agent Systems Coordination will appeal to researchers and graduate students of multi-agent systems. Industrial practitioners whose work involves system engineering, system control, system biology, and computing science will also find it useful.

  • Cognitive Radio Network as Sensors

    This chapter contains sections titled: Intrusion Detection by Machine Learning Joint Spectrum Sensing and Localization Distributed Aspect Synthetic Aperture Radar Wireless Tomography Mobile Crowdsensing Integration of 3S The Cyber‐Physical System Computing Security and Privacy Summary



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