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检索条件"机构=Chair of Process Control Systems Engineering"
44 条 记 录,以下是41-50 订阅
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Recapitalizing the Navy through optimized manning and improved reliability
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NAVAL ENGINEERS JOURNAL 1998年 第6期110卷 61-72页
作者: Anderson, DE Malone, TB Baker, CC Mr. David E. Anderson:is a Navel Engineer with the Naval Sea Systems Command where he is currently assigmd to the HumanSystems Integration branch. Mr Anderson has a Bachelor of Science degree an Environmental Engineering from Flurida Technological University and a Master's in Environmental Engiwering from the University of Central Flurida. He currentEy is an HSI manager for a number oflvay R&D and skig acquisition efforts. Dr. Thomas B. Malone:received a Ph.D. in Experimental Psychology from Fordham University in 1964. He is President of Carlow International Incorporated an organization dedicated to human factors research and development with emphasis an mantime systems. He has directed over 350 programs and projects in his 33 year career and is responsible for overall management of all contract programs within the Corporation. He is a Past President of the Human Factors and E r g m i c s Society (HFES) of which he is a Fellow. He is also a Fellow of the Washington Academy of Sciences He was selected as a member of the N A S Space Sciences Technical Advisuiy Committee on Technoloo Requirements for Human Performance on Long Duration Space Missions in 2989 and 90. He was elected as the First Chair of the Systems Development Technical Group of the HFES. Dr Malone is currently managing eflorts to devehp and auto- mate standardized processes for canducting human systems integration (HSI) in the military weapon systems acquisition process and fov developing automated tools to facilitate fledormance of specific steps in the HSI process. Dr Malone also is currently occupied in applying human engineering to the DD 21 and is serving as the Chair ofthe System ManninglHuman Perfomzance Working IPT under the DD 21 ManninglHSI IPT chaired ty PMS 500M. Mr. Clifford Baker:has over 20 years experience in developing and applying human factors technology to complex systems. He holds a masters degree in psychology with a specialization in human factors engineering and he is a Board Certified Human Factors Engineering Profesional
Reduced manning is the process (and the result) of removing human functions from a system while retaining or improving system operability and effectiveness. Reliability and maintainability characterize a system's ... 详细信息
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Challenges in Skill-based engineering of Industrial Automation systems
Challenges in Skill-based Engineering of Industrial Automati...
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IEEE International Conference on Emerging Technologies and Factory Automation
作者: Somayeh Malakuti Jurgen Bock Michael Weser Pierre Venet Patrick Zimmermann Mathias Wiegand Julian Grothoff Constantin Wagner Andreas Bayha ABB Corporate Research Center Ladenburg Germany R&D Corporate Research KUKA Deutschland GmbH Augsburg Germany Digital Engineering Fraunhofer IGCV Augsburg Germany Advanced Product Engineering Festo AG & Co. KG Esslingen Germany Chair of Process Control Engineering RWTH Aachen University Aachen Germany Model-based Systems Engineering Fortiss GmbH Munich Germany
Skill-based engineering is gaining attention as a means to increase flexibility and changeability in engineering industrial automation systems. This paper proposes the Skill-based engineering Model (SEM), which formal... 详细信息
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Der Weg zum Digital Twin im modularen Anlagenbau mittels MTP und DEXPI Standard
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Chemie Ingenieur Technik 2020年 第9期92卷
作者: J. Rahm A. Klose L. Urbas M. Soemers M. Theißen C. Schäfer Technische Universität Dresden Chair of Process Control Systems and Process Systems Engineering Group Helmholtzstr. 18 01062 Dresden Deutschland AixCAPE e.V Peterstr. 2–4 52062 Aachen Deutschland Merck KGaA Site Management  Engineering Services Frankfurter Str. 250 64293 Darmstadt Deutschland
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NONLINEAR NETWORK STRUCTURES FOR FEEDBACK control
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Asian Journal of control 2008年 第4期1卷
作者: F.L. Lewis Dept. of Electical Engineering The University of Texas at Arlington U.S.A. F. L. Lewis was born in Wärzburg. Germany subsequently studyning in Chile and Goruonstoun School in Scotland. He obtained the Bachelor's Degree in Physics/Electrical Engineering and the Master's of Electrical Engineering Degree at Rice University in 1971. He spent six years in the U.S. navy serving as Navigator aboard the frigate USS Trippe (FF-1075) and Executive Officer and Acting Commanding Officer aboard USS Salinan (ATF-161). In 1977 he received the Master's of Science in Aeronautical Engineering from the University of West Florida. In 1981 he obtained the Ph.D. degree at The Georgia Institute of Technology in Atlanta where he was employed as a professor from 1981 to 1990 and is currently an Adjunct Professor. He is a Professor of Electrical Engineering at The University of Texas at Arlington where he was awarded the Moncrief-O'Donnell Endowed Chair in 1990 at the Automation and Robotics Research Institute. Dr. Lewis has studied the geometric analytic and structural properties of dynamical systems and feedback control automation. His current interests include robotics intelligent control neural and fuzzy systes nonlinear systems and manufacturing process control. He is the author/co-author of 2 U.S. patents 124 journal papers 20 chapters and encyclopedia articles 210 refereed conference papers seven books: Optimal Control Optimal Estimation Applied Optimal Control and Estimation Aircraft Control and Simulation Control of Robot Manipulators Neural Network Control High-Level Feedback Control with Neural Networks and the IEEE reprint volume Robot Control. Dr. Lewis is a registered Professional Engineer in the State of Texas and was selected to the Editorial Boards of International Journal of Control Neural Computing and Applications and Int. J. Intelligent Control Systems. He is the recipient of an NSF Research Initiation Grant and has been continuously funded by NSF since 1982. Since 1991 he has received $1.8 m
A framework is given for controller design using Nonlinear Network Structures, which include both neural networks and fuzzy logic systems. These structures possess a universal approximation property that allows them t... 详细信息
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