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International Joint Conference on Neural Networks (IJCNN)

作者： N. Funabiki Y. Takefuji K.C. Lee Y.B. Cho T. Kurokawa H. Aiso Department of Electrical Engineering and Applied Physics Case Western Reserve University Cleveland OH USA Systems Engineering Division Sumitomo Metal Industries Limited Japan Department of Computer Science National Defense Academy Yokosuka Kanagawa Japan School of Environmental Information Keio University Fujisawa Kanagawa Japan

A neural network model for broadcasting scheduling in multihop packet radio networks is presented. The problem of broadcast scheduling with a minimum number of time slots is NP-complete. The proposed neural network model finds a broadcasting schedule with a minimal number of time slots, and requires n processing elements for an n-node radio network. Fifteen different radio networks were examined where the neural network model found an m-time-slot solution in O(m) time with n processors.< >

关键词： Neural networks Radio broadcasting Intelligent networks Spread spectrum communication Packet radio networks Radio network Job shop scheduling Mobile communication Processor scheduling Process control

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FIRE MAIN control

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NAVAL ENGINEERS JOURNAL 1985年第6期97卷 35-48页

作者： MALKOFF, DB MOY, MC WILLIAMS, HL Dr. Donald B. Malkoff majored in physics as an undergraduate at Harvard University. He received an M.D. degree from the University of Pittsburgh School of Medicine in 1960. This was followed by an internship and residency in neurology at University Hospital in Ann Arbor Michigan. He spent several years at the National Institutes of Health engaged in gerontology research has practiced and taught clinical neurology and in 1983 received an M.S. degree in computer science at the University of California San Diego. Currently Dr. Malkoff is employed by the Navy Personnel Research and Development Center in San Diego California where he is senior investigator in a human factor/computer display-and-control project involving the DDG-51 gas turbine propulsion unit. He is a member of the American Academy of Neurology the Society for Neuroscience the American Association for Artificial Intelligence and the Association for Computing Machinery. Dr. Malkoff is certified by the American Board of Psychiatry and Neurology has taught computer science at UCSD and published in several research areas including magnetoencephalography and electron microscopy. His basic interests are in the areas of artificial intelligence and learning expert systems particularly as they apply to the problems of fault-detection and control. Dr. Melvyn C. Moy received his undergraduate training in mathematics and chemistry at the University of Texas Austin. He studied experimental psychology at the University of Wisconsin Madison receiving his M.S. in 1970 and Ph.D. in 1972. He served as an assistant professor at the University of South Dakota where he taught experimental design and methodology for a year before joining the Navy Personnel Research and Development Center in 1973. His work and research since then spans across many application areas such as the development of manpower planning models for the Navy the design of operational decision aids the human engineering of interactive large-scale war gaming systems and the evaluation o

The ship fire main has undergone considerable development throughout the past 2,000 years, resulting in a system that is critical both for normal ship function and for ship survivability in emergencies. Because of its complexity, the modern firemain system is highly vulnerable to malfunction and to damage during combat. Firemain fault detection and fault recovery are currently conducted manually by damage control teams. The advantages and disadvantages of this method are discussed, and alternative methods of fault detection and recovery are explored. An interactive computer program is introduced which uses central control over remotely situated valves to facilitate fault detection and recovery, significantly reducing recovery-time and manpower requirements. These reductions may result in savings of lives, ship systems, and ships themselves. The computer program is based upon an algorithm which is, in effect, a prescription that can be followed manually by the operator or be completely automated. The color graphic display which is used for monitoring can also be utilized for the training of damage control operators or for the evaluation of other algorithms for firemain control. Alternative firemain hardware and configurations could lead to even more efficient methods of fault detection and recovery as well as improved firemain water supply management in general.

关键词： NAVAL VESSELS

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Optimal control and pathwise nonlinear filtering of nondegenerate diffusions

Optimal control and pathwise nonlinear filtering of nondegen...

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IEEE Conference on decision and control

作者： Wendell H. Fleming Sanjoy K. Mitter Lefschetz Center for Dynamical Systems Division of Applied Mathematic Brom University Providence RI USA Department of Electrical Engineering and Computer Science and Laboratoryfor Information and Decision Systems Massachusetts Institute of Technology Cambridge MA USA

A linear parabolic partial differential equation describing the pathwise filter for a nondegenerate diffusion is changed, by an exponential substitution, into the dynamic programming equation of an optimal stochastic control problem. This substitution is applied to obtain results about the rate of decay as |x| → ∞ of solutions p(x, t) to the pathwise filter equation, and for solutions of the corresponding Zakai equation.

关键词： Optimal control Filtering Filters Polynomials Partial differential equations Dynamic programming Stochastic processes Signal processing Nonlinear equations Mathematics

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Considerations for new tactical computer systems 77

Considerations for new tactical computer systems

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4th Annual Symposium on computer Architecture, ISCA 1977

作者： Strauss, Jon C. Thurber, Kenneth J. Electrical Engineering Department Moore School of Engineering University of Pennsylvania PhiladelphiaPA United States Defense Systems Division Product Development Group Sperry Univac St. PaulMN United States Computer Science Department University of Minnesota MinneapolisMN United States

ISBN: (纸本)9781450379113

The real-time command and control environments characteristic of tactical military systems and industrial process control systems place unique and conflicting design requirements on a support computer system. These requirements include fast context switching, selective protection of programs and their files, controlled sharing of program and files, high processing speed, flexible, yet fast priority structure for interrupts and program execution, flexible high-speed I/O and flexible intercommunication and control for interacting programs. This paper describes a new computer system now being prototyped to satisfy these requirements. The system design includes a number of unique features relating to the efficient implementation of a flexible virtual memory addressing system for the stringent real-time environment. © 2018 ACM, Inc.

关键词： Real time systems

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Abstracts

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Environmental Management 1977年第1期1卷 67-96页

作者： Frankenfeld, John W. Schulz, Wolfgang McMurty, George J. Petersen, Gary W. May, G. A. Hering, F. S. Schwartz, J. I. Heywood, J. B. Chigier, N. A. Grohse, E. W. Walker, J. D. Colwell, R. R. Petrakis, L. Pergament, H. S. Thorpe, R. D. Schoepf, Richard W. Krzyczkowski, Roman Henneman, Suzanne S. Hudson, Charles L. Putnam, Evelyn S. Thiesen, Donna J. Parks, G. A. McCarty, Perry L. Leckie, J. O. Schrumpf, Barry J. Simonson, G. H. Paine, D. P. Lawrence, R. D. Pyott, W. T. Leh, M. Elders, W. Combs, J. Caplen, T. Harrison, F. L. Wong, K. M. Heft., R. E. Charnell, Robert L. Lehmann, Edward J. Mallon, Lawrence G. Hatfield, Cecile Adams, Gerald H. Johanning, James Talvitie, Antti Noll, Kenneth E. Miller, Terry Smiarowski, Joseph F. Willis, Cleve E. Foster, John H. Schlesinger, Benjamin Daetz, Douglas Lear, Donald U. Smith, Mona F. Hundemann, Audrey S. Crockett, Pernell W. Werner, Kirk G. Carroll, Thomas E. Maase, David L. Genco, Joseph E. Ifeadi, Christopher N. Lowman, F. G. Christensen, S. W. Van Winkle, W. Mattice, J. S. Harrison, Elizabeth A. Barker, James C. Chesness, Jerry L. Smith, Ralph E. Shaheeen, Donald G. Raney, R. Keith Borton, T. Wezernak, C. T. Raney, R. K. Sherwani, Jabbor K. Moreau, David H. Eisenberg, Norman A. Lynch, Cornelius J. Breeding, Roger J. Johnson, J. D. Foster, K. E. Mouat, D. A. Clark, R. Hyden, John William Owen, Wilfred Bayfield, Neil G. Barrow, Graham C. Stolz, Stephanie B. Wienckowski, Louis A. Brown, Betram S. Keyfitz, Nathan Wilson, W. L. Newman, Peter W. G. Bammi, Deepak Bammi, Dalip Goddard, James E. Chisholm, Tony Walsh, Cliff Brennan, Geoffrey Thompson, K. S. Richardson, R. Jensen, Clayton E. Brown, Dail W. Mirabito, John A. Cowing, Thomas G. Binghamton, Suny Siehl, George H. Albrecht, O. W. Alexander, Ariel Barde, Jean -Philippe Darby, William P. McMichael, Francis Clay Dunlap, Robert W. Muckleston, Keith W. Frankenhoff, Charles A. Giulini, Lorenzo T. Wyatt, T. Black, Peter E. Keating, William Thomas Leonard, M. E. Fisher, E. L. Brunelle, M. F. Dickinson, J. E. Pethig, Rudiger Clapham Exxon Research & Engineering Co. Linden Government Research Lab Coast Guard Washington D.C. Department of Transportation Washington D.C. Office For Remote Sensing of Earth Resources. NASA Earth Resources Survey Program Pennsylvania State University Washington D.C. Department of the Navy Washington D.C. Cambridge. Dept. of Mechanical Engineering Massachusetts Inst. of Technology USA Huntsville. School of Graduate Studies and Research Alabama Univ. USA Dept. of Microbiology. Office of Naval Research Maryland Univ. Arlington Research and Development Co. Pittsburgh AeroChem Research Labs. Inc. Princeton Dept. of the Interior Office of Library Services. Bibliographic Series (Final) Washington D.C. Interplan Corp. Santa Barbara Urban Mass Transportation Adm. Washington D.C. Naval Underwater Systems Center Newport Calif. Mercury Project. National Science Found Stanford Univ Washington D.C. Div. of Advanced Environmental Research & Tech. USA Corvallis. NASA Earth Resources Survey Program Oregon State Univ. Washington D.C. Riverside. Inst. of Geophysics and Planetary Physics National Science Foundation California Univ. Washington D.C. Livermore Lawrence Livermore Lab. California Univ. USA Atlantic Oceanographic and Meteorological Labs. National Oceanic and Atmospheric Administration Miami National Technical Information Service Springfield Miami Univ. Coral Gables School of Law National Oceanic and Atmospheric Administration Rockville National Academy of Sciences Office of Sea Grant Washington D. C. School of Law National Oceanic and Atmospheric Administration Office of Sea Grant. Rockville Norman. Dept. of Civil Engineering and Environmental Science. Urban Mass Transportation Administration Oklahoma Univ. Washington D. C. Knoxville.Dept. of Civil Engineering. Federal Highway Administration Tennessee Univ. Washington D. C. Amherst.Water Resources Research Center. Office of Water Research and Technology Massachusetts Univ. Washington D. C. Calif. Dept. of Industria

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A NEW HIGH‐PRECISION, UNIVERSAL‐FREQUENCY computer COMPONENT

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Journal of the American Society for Naval Engineers 1950年第2期62卷 325-338页

作者： HERR, DONALD BLUMENSTOCK, NORMAN HONORARY MEMBER THE AUTHORS MR. HERR Honorary Member of the A.S.N.E. has the B.S. in E.E. M.S. in E.E. and E.E. degrees. He was National Coffin Foundation Fellow of the General Electric Company National Tau Beta Pi Fellow and National Sigma Tau Fellow at the Moore School of Electrical Engineering University of Pennsylvania and at M.I.T. prior to World War II. He was also awarded a National Gordon McKay Fellowship by Harvard University and received the A. Atwater Kent Award in Electrical Engineering from the University of Pennsylvania. A licensed radio amateur at 12 Mr. Herr first worked summers at RCA and Bell Laboratories and was with the General Electric Company in 1939 and 1940 as development engineer before volunteering for over five years of active Naval duty. He served as Officer-in-Charge Electrical Minesweeping Group Bureau of Ships December 1940 to April 1943 as Acting Design Superintendent and Officer-in-Charge Los Angeles-Long Beach Harbor Surge Investigation U. S. Naval Shipyard Terminal Island to November 1944 and as Research-Patents Liaison Officer Office of Naval Research to January 1946 returning to inactive duty as lieutenant commander U.S.N.R. Mr. Herr received two Navy letters of commendation. Since 1946 he was assistant to vice president in charge of the engineering division of Control Instrument Company Brooklyn New York and is project engineer at the Reeves Instrument Corporation responsible for new servo and computer component developments. Mr. Herr has been associated with Dean Harold Pender and Professor Ernst Guillemin in advanced network theory and has specialized for 12 years in development and design of servomechanisms differential analyzers computers and fire control systems utilizing advanced network analysis and synthesis methods. Mr. Herr is also presently teaching servomechanisms network-synthesis and feedback amplifier design in the Graduate School of the Polytechnic Institute of Brooklyn. He has contributed frequently to the JOURNAL OF THE AMERICA

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TWO NEW ECONOMICAL computerS FOR THE DESIGN AND ANALYSIS OF SERVOMECHANISMS, NETWORKS, AMPLIFIERS, AND ANALOGOUS DYNAMICAL systems

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Journal of the American Society for Naval Engineers 1951年第4期63卷 851-871页

作者： HERR, DONALD HONORARY MEMBER THE AUTHOR:Mr.Herr Honorary Member of the A.S.N.E. has the B.S. in E.E. M.S. in E.E. and E.E. degrees. He was National Coffin Foundation Fellow of the General Electric Company National Tau Beta Pi Fellow and National Sigma Tau Fellow at the Moore School of Electrical Engineering University of Pennsylvania and at M.I.T. prior to World War II. He was also awarded a National Gordon McKay Fellowship by Harvard University and received the A. Atwater Kent Award in Electrical Engineering from the University of Pennsylvania. A licensed radio amateur at 12 Mr. Herr first worked summers at RCA and Bell Laboratories and was with the General Electric Company in 1939 and 1940 as development engineer before volunteering for over five years of active Naval duty. He served as Officer-in-Charge Electrical Minesweeping Group Bureau of Ships December 1940 to April 1943 as Acting Design Superintendent and Officer-in-Charge Los Angeles-Long Beach Harbor Surge Investigation U. S. Naval Shipyard Terminal Island to November 1944 and as Research-Patents Liaison Officer Office of Naval Research to January 1946 returning to inactive duty as lieutenant commander U.S.N.R. Mr. Herr received two Navy letters of commendation. Since 1946 he was assistant to vice president in charge of the engineering division of Control Instrument Company Brooklyn New York and is project engineer at the Reeves Instrument Corporation responsible for new servo and computer component developments. Mr. Herr has been associated with Dean Harold Pender and Professor Ernst Guillemin in advanced network theory and has specialized for 12 years in development and design of servomechanisms differential analyzers computers and fire control systems utilizing advanced network analysis and synthesis methods. He has contributed frequently to the JournalOF THE AmericanSocietyOF NavalEngineersand was the Society's 1945 Prize Essayist on the subject: “Engineering in the Navy as seen by an Active Reserve Officer.” He is senior member of the I.R.E

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Toward a Theoretical Foundation of Policy Optimization for Learning control Policies

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control, Robotics, and Autonomous systems 1000年第1期6卷 123-158页

作者： Bin Hu Kaiqing Zhang Na Li Mehran Mesbahi Maryam Fazel Tamer Başar 1Coordinated Science Laboratory and Department of Electrical and Computer Engineering University of Illinois Urbana-Champaign Urbana Illinois USA email: binhu7@illinois.edubasar1@illinois.edu 3Current affiliation: Department of Electrical and Computer Engineering and Institute for Systems Research University of Maryland College Park Maryland USA email: kaiqing@umd.edu 2Laboratory for Information and Decision Systems and Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology Cambridge Massachusetts USA 4School of Engineering and Applied Sciences Harvard University Cambridge Massachusetts USA email: nali@seas.harvard.edu 5Department of Aeronautics and Astronautics University of Washington Seattle Washington USA email: mesbahi@uw.edu 6Department of Electrical and Computer Engineering University of Washington Seattle Washington USA email: mfazel@uw.edu

Gradient-based methods have been widely used for system design and optimization in diverse application domains. Recently, there has been a renewed interest in studying theoretical properties of these methods in the context of control and reinforcement learning. This article surveys some of the recent developments on policy optimization, a gradient-based iterative approach for feedback control synthesis that has been popularized by successes of reinforcement learning. We take an interdisciplinary perspective in our exposition that connects control theory, reinforcement learning, and large-scale optimization. We review a number of recently developed theoretical results on the optimization landscape, global convergence, and sample complexityof gradient-based methods for various continuous control problems, such as the linear quadratic regulator (LQR), control, risk-sensitive control, linear quadratic Gaussian (LQG) control, and output feedback synthesis. In conjunction with these optimization results, we also discuss how direct policy optimization handles stability and robustness concerns in learning-based control, two main desiderata in control engineering. We conclude the survey by pointing out several challenges and opportunities at the intersection of learning and control.

关键词： policy optimization reinforcement learning feedback control synthesis

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Emerging Electronics and Automation 1

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丛书名： Lecture Notes in electrical engineering

1000年

作者： Moncef Gabbouj Shyam Sudhir Pandey Hari Krishna Garg Ranjay Hazra

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