Auswahl der wissenschaftlichen Literatur zum Thema „Proximity-Based Control“
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Zeitschriftenartikel zum Thema "Proximity-Based Control"
Mauer, Georg F. „An end-effector based imaging proximity sensor“. Journal of Robotic Systems 6, Nr. 3 (Juni 1989): 301–16. http://dx.doi.org/10.1002/rob.4620060307.
Der volle Inhalt der QuelleDi Mauro, G., M. Schlotterer, S. Theil und M. Lavagna. „Nonlinear Control for Proximity Operations Based on Differential Algebra“. Journal of Guidance, Control, and Dynamics 38, Nr. 11 (November 2015): 2173–87. http://dx.doi.org/10.2514/1.g000842.
Der volle Inhalt der QuelleMatsunaga, Shigeki, und Masakatsu Shibasaki. „Multimetallic Bifunctional Asymmetric Catalysis Based on Proximity Effect Control“. Bulletin of the Chemical Society of Japan 81, Nr. 1 (15.01.2008): 60–75. http://dx.doi.org/10.1246/bcsj.81.60.
Der volle Inhalt der QuelleGarrido-Martinez, Jessenia, und Patricio Medina-Chicaiza. „Electoral Advertising Based on Proximity Marketing“. International Business Research 12, Nr. 9 (26.08.2019): 52. http://dx.doi.org/10.5539/ibr.v12n9p52.
Der volle Inhalt der QuelleLong, Jiateng, und Fen Wu. „Iterative-Learning-Control-Based Tracking for Asteroid Close-Proximity Operations“. Journal of Guidance, Control, and Dynamics 42, Nr. 5 (Mai 2019): 1195–203. http://dx.doi.org/10.2514/1.g003884.
Der volle Inhalt der QuelleTamayo Segarra, Jose Ignacio, Bilal Al Jammal und Hakima Chaouchi. „New IoT proximity service based heterogeneous RFID readers collision control“. PSU Research Review 1, Nr. 2 (14.08.2017): 127–49. http://dx.doi.org/10.1108/prr-03-2017-0019.
Der volle Inhalt der QuelleSun, Liang, und Zewei Zheng. „Disturbance Observer-Based Robust Saturated Control for Spacecraft Proximity Maneuvers“. IEEE Transactions on Control Systems Technology 26, Nr. 2 (März 2018): 684–92. http://dx.doi.org/10.1109/tcst.2017.2669145.
Der volle Inhalt der QuelleSeverson, Frederick E. „Proximity control of on-board processor-based model train sound and control system“. Journal of the Acoustical Society of America 126, Nr. 2 (2009): 930. http://dx.doi.org/10.1121/1.3204334.
Der volle Inhalt der QuelleKurahashi, A., M. Adachi und M. Idesawa. „A prototype of optical proximity sensor based on RORS“. Journal of Robotic Systems 3, Nr. 2 (März 1986): 183–90. http://dx.doi.org/10.1002/rob.4620030206.
Der volle Inhalt der QuelleAgudo, Isaac, Ruben Rios und Javier Lopez. „A privacy-aware continuous authentication scheme for proximity-based access control“. Computers & Security 39 (November 2013): 117–26. http://dx.doi.org/10.1016/j.cose.2013.05.004.
Der volle Inhalt der QuelleDissertationen zum Thema "Proximity-Based Control"
Chan, Teck-Wai. „Proximity-to-separation based energy function control strategy for power system stability“. Thesis, Queensland University of Technology, 2003. https://eprints.qut.edu.au/15840/1/Teck-Wai_Chan_Thesis.pdf.
Der volle Inhalt der QuelleChan, Teck-Wai. „Proximity-to-Separation Based Energy Function Control Strategy for Power System Stability“. Queensland University of Technology, 2003. http://eprints.qut.edu.au/15840/.
Der volle Inhalt der QuelleWenn, Chad, und Chad Wenn. „Lyapunov-Based Control of Coupled Translational-Rotational Close-Proximity Spacecraft Dynamics and Docking“. Thesis, The University of Arizona, 2017. http://hdl.handle.net/10150/626389.
Der volle Inhalt der QuelleSalgueiro, Filipe Nuno Ricardo. „Nonlinear pose control and estimation for space proximity operations: an approach based on dual quaternions“. Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/53055.
Der volle Inhalt der QuelleLi, Ni. „Vision based trajectory tracking of space debris in close proximity via integrated estimation and control“. Master's thesis, University of Central Florida, 2011. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/4966.
Der volle Inhalt der QuelleID: 029809810; System requirements: World Wide Web browser and PDF reader.; Mode of access: World Wide Web.; Thesis (M.S.)--University of Central Florida, 2011.; Includes bibliographical references (p. 41-48).
M.S.
Masters
Mechanical, Materials, and Aerospace Engineering
Engineering and Computer Science
Thomas, John. „Assembly task in congested space using sensor-based control“. Electronic Thesis or Diss., Université de Rennes (2023-....), 2024. https://ged.univ-rennes1.fr/nuxeo/site/esupversions/97ef6af4-7235-478c-857a-663748e91f68.
Der volle Inhalt der QuelleIn this thesis, a multi-sensory system consisting of proximity sensors termed proximity array is proposed. While attaching it to the end-effector it enables a robot to perform plane-to-plane positioning task and positioning wrt. a cylinder. Stability analysis of plane-to-plane positioning task is considered by obtaining an explicit form for the pseudo-inverse of the interaction matrix. Proximity and vision information are then combined to address positioning in congested space for assembly task using non-contact sensors. The proximity arrays are wrapped around the arm of the manipulator to enable collision avoidance and 4-point Visual Servoing ensures positioning. Various experimental and simulation results are provided to validate the theory. Explicit forms of dual basis are obtained for tasks including plane-to-plane following and positioning wrt. a cylinder with minimal sensors long with 3-point Visual Servoing. Dual basis is associated to the linear space of interaction screws that form the components of interaction matrix. This leads to closed-form equations in Sensor-based Control
Giftsun, Nirmal. „Handling uncertainty and variability in robot control“. Thesis, Toulouse, INSA, 2017. http://www.theses.fr/2017ISAT0028/document.
Der volle Inhalt der QuelleAmidst a lot of research in motion planning and control in concern with robotic applications, the mankind has never reached a point yet, where the robots are perfectly functional and autonomous in dynamic settings. Though it is controversial to discuss about the necessity of such robots, it is very important to address the issues that stop us from achieving such a level of autonomy. Industrial robots have evolved to be very reliable and highly productive with more than 1.5 million operational robots in a variety of industries. These robots work in static settings and they literally do what they are programmed for specific usecases, though the robots are flexible enough to be programmed for a variety of tasks. This research work makes an attempt to address these issues that separate both these settings in a profound way with special focus on uncertainties. Practical impossibilities of precise sensing abilities lead to a variety of uncertainties in scenarios where the robot is mobile or the environment is dynamic. This work focuses on developing smart strategies to improve the ability to handle uncertainties robustly in humanoid and industrial robots. First, we focus on a dynamical obstacle avoidance framework proposed for industrial robots equipped with skin sensors for reactivity. Path planning and motion control are usually formalized as separate problems in robotics. High dimensional configuration spaces, changing environment and uncertainties do not allow to plan real-time motion ahead of time requiring a controller to execute the planned trajectory. The fundamental inability to unify both these problems has led to handle the planned trajectory amidst perturbations and unforeseen obstacles using various trajectory execution and deformation mechanisms. The proposed framework uses ’Stack of Tasks’, a hierarchical controller using proximity information to avoid obstacles. Experiments are performed on a UR5 robot to check the validity of the framework and its potential use for collaborative robot applications. Second, we focus on a strategy to model inertial parameters uncertainties in a balance controller for legged robots. Model-based control has become more and more popular in the legged robots community in the last ten years. The key idea is to exploit a model of the system to compute precise motor commands that result in the desired motion. This allows to improve the quality of the motion tracking, while using lower feedback gains, leading so to higher compliance. However, the main flaw of this approach is typically its lack of robustness to modeling errors. In this paper we focus on the robustness of inverse-dynamics control to errors in the inertial parameters of the robot. We assume these parameters to be known, but only with a certain accuracy. We then propose a computationally-efficient optimization-based controller that ensures the balance of the robot despite these uncertainties. We used the proposed controller in simulation to perform different reaching tasks with the HRP-2 humanoid robot, in the presence of various modeling errors. Comparisons against a standard inverse-dynamics controller through hundreds of simulations show the superiority of the proposed controller in ensuring the robot balance
Rogers, Andrew Charles. „Optimization-Based Guidance for Satellite Relative Motion“. Diss., Virginia Tech, 2016. http://hdl.handle.net/10919/79455.
Der volle Inhalt der QuellePh. D.
Bücher zum Thema "Proximity-Based Control"
MacDonald, G. Blake. A comparison of new proximity-based expressions of competing vegetation. Sault Ste-Marie: Ministry of Natural Resources, Ontario Forest Research Institute, 1991.
Den vollen Inhalt der Quelle findenUnited States. Agency for Toxic Substances and Disease Registry. Pancreatic cancer mortality and residential proximity to railroad refueling facilities in Montana: A records-based case-control pilot study. Atlanta, Ga: The Agency, 1994.
Den vollen Inhalt der Quelle findenApplication of fuzzy logic-neural network based reinforcement learning to proximity and docking operations: Attitude control results. [Houston, Tex.]: Research Institute for Computing and Information Systems, University of Houston, Clear lake, 1992.
Den vollen Inhalt der Quelle findenvan Hooft, Edwin. Self-Regulatory Perspectives in the Theory of Planned Job Search Behavior: Deliberate and Automatic Self-Regulation Strategies to Facilitate Job Seeking. Herausgegeben von Ute-Christine Klehe und Edwin van Hooft. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199764921.013.31.
Der volle Inhalt der QuelleBuchteile zum Thema "Proximity-Based Control"
Lang, Ulrich, und Rudolf Schreiner. „Proximity-Based Access Control (PBAC) using Model-Driven Security“. In ISSE 2015, 157–70. Wiesbaden: Springer Fachmedien Wiesbaden, 2015. http://dx.doi.org/10.1007/978-3-658-10934-9_14.
Der volle Inhalt der QuelleOumer, Nassir W., und Giorgio Panin. „Camera-Based Tracking for Rendezvous and Proximity Operation of a Satellite“. In Advances in Aerospace Guidance, Navigation and Control, 625–38. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-17518-8_36.
Der volle Inhalt der QuelleEspiau, Bernard. „Sensory-Based Control Robustness Issues and Modelling Techniques Application to Proximity Sensing“. In Kinematic and Dynamic Issues in Sensor Based Control, 3–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-84012-8_1.
Der volle Inhalt der QuelleBoecker, Martin. „Increasing Control Room Effectiveness and Security Through Proximity-Based Interaction Technologies“. In Advances in Human Factors and System Interactions, 87–96. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41956-5_9.
Der volle Inhalt der QuelleLu, Yao, und Yingmin Jia. „Characteristic Model-Based Adaptive Control for Spacecraft Rendezvous and Proximity Operations“. In Proceedings of 2021 Chinese Intelligent Automation Conference, 228–36. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-6372-7_27.
Der volle Inhalt der QuelleRen, Hao, Bin Jiang, Yajie Ma und Gang Tao. „Multi-design Integration Based Adaptive Fault-Tolerant Control of Spacecraft Proximity Operations“. In Lecture Notes in Electrical Engineering, 4543–55. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8155-7_376.
Der volle Inhalt der QuelleZhang, Xue, Sanglu Lu, Daoxu Chen und Li Xie. „PREG: A Practical Power Control Algorithm Based on a Novel Proximity Graph for Heterogeneous Wireless Sensor Networks“. In Wireless Algorithms, Systems, and Applications, 620–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11814856_58.
Der volle Inhalt der QuelleDillon, Lisa, Alla Chernenko, Martin Dribe, Sacha Engelhardt, Alain Gagnon, Heidi A. Hanson, Huong Meeks, Luciana Quaranta, Ken R. Smith und Hélène Vézina. „20. Did Grandmothers Enhance Reproductive Success in Historic Populations?“ In Human Evolutionary Demography, 475–502. Cambridge, UK: Open Book Publishers, 2024. http://dx.doi.org/10.11647/obp.0251.20.
Der volle Inhalt der QuelleRüppel, Adrian Karl, Muzaffer Ay, Benedikt Biernat, Ike Kunze, Markus Landwehr, Samuel Mann, Jan Pennekamp et al. „Model-Based Controlling Approaches for Manufacturing Processes“. In Internet of Production, 1–26. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-030-98062-7_7-2.
Der volle Inhalt der QuelleRüppel, Adrian Karl, Muzaffer Ay, Benedikt Biernat, Ike Kunze, Markus Landwehr, Samuel Mann, Jan Pennekamp et al. „Model-Based Controlling Approaches for Manufacturing Processes“. In Internet of Production, 1–26. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-030-98062-7_7-1.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Proximity-Based Control"
Choi, Sunoh, Christopher Gutierrez, Hyo-Sang Lim, Saurabh Bagchi und Elisa Bertino. „Secure and resilient proximity-based access control“. In the 2013 international workshop. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2512410.2512425.
Der volle Inhalt der QuelleKim, Yu Seung, und Patrick Tague. „Proximity-based wireless access control through considerate jamming“. In MobiCom'14: The 20th Annual International Conference on Mobile Computing and Networking. New York, NY, USA: ACM, 2014. http://dx.doi.org/10.1145/2646584.2646588.
Der volle Inhalt der QuelleRasmussen, Kasper Bonne, Claude Castelluccia, Thomas S. Heydt-Benjamin und Srdjan Capkun. „Proximity-based access control for implantable medical devices“. In the 16th ACM conference. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1653662.1653712.
Der volle Inhalt der QuelleMantegazza, Dario, Jerome Guzzi, Luca M. Gambardella und Alessandro Giusti. „Learning Vision-Based Quadrotor Control in User Proximity“. In 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI). IEEE, 2019. http://dx.doi.org/10.1109/hri.2019.8673022.
Der volle Inhalt der QuelleThomas, John, Francois Pasteau und Francois Chaumette. „Plane-to-Plane Positioning by Proximity-based Control“. In 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2022. http://dx.doi.org/10.1109/iros47612.2022.9981781.
Der volle Inhalt der QuelleChai, Yi, Zhimin Yang, Kunpeng Wang und Ke Zhang. „Proximity operator based alternating iteration algorithm for sparse signal recovery“. In 2014 33rd Chinese Control Conference (CCC). IEEE, 2014. http://dx.doi.org/10.1109/chicc.2014.6896199.
Der volle Inhalt der QuelleDeLellis, Pietro, Franco Garofalo und Francesco Lo Iudice. „Formation control on Jordan curves based on noisy proximity measurements“. In 2019 18th European Control Conference (ECC). IEEE, 2019. http://dx.doi.org/10.23919/ecc.2019.8795641.
Der volle Inhalt der QuelleUlrich, Steve, und Kirk Hovell. „Iterative Learning Control of Spacecraft Proximity Operations Based on Confidence Level“. In AIAA Guidance, Navigation, and Control Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2017. http://dx.doi.org/10.2514/6.2017-1046.
Der volle Inhalt der QuelleLi, Chi, Rolando Burgos, Ye Tang und Dushan Boroyevich. „Impedance-based stability analysis of multiple STATCOMs in proximity“. In 2016 IEEE 17th Workshop on Control and Modeling for Power Electronics (COMPEL). IEEE, 2016. http://dx.doi.org/10.1109/compel.2016.7556744.
Der volle Inhalt der QuelleGaikwad, Ragini, Sidhesh Mohite Mayuri Kharat und Jayendra Thakur. „PLC based automatic car washing system using proximity sensors“. In 2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI). IEEE, 2017. http://dx.doi.org/10.1109/icpcsi.2017.8392041.
Der volle Inhalt der QuelleBerichte der Organisationen zum Thema "Proximity-Based Control"
Soramäki, Kimmo. Financial Cartography. FNA, Oktober 2019. http://dx.doi.org/10.69701/ertx8007.
Der volle Inhalt der QuelleLeis und Mohan. L51803 Failure Criterion for Stress-Corrosion Cracking in Pipelines. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), September 1995. http://dx.doi.org/10.55274/r0010327.
Der volle Inhalt der QuelleRegan, Jack, Julie Bryant und Craig Weinschenk. Analysis of the Coordination of Suppression and Ventilation in Single-Family Homes. UL Firefighter Safety Research Institute, März 2020. http://dx.doi.org/10.54206/102376/slzh7498.
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