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Study of Direction Probability and Algorithm of Improved Marriage in Honey Bees Optimization for Weapon Network System

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Defence Technology（防务技术） 2009年第2期5卷 152-157页

作者：杨晨光涂序彦陈杰 Systems Engineering Research Institute China State Shipbuilding Corporation Department of Automation School of Information Science and Technology Beijing Institute of Technology Ministry of Education of Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology

To solve the weapon network system optimization problem against small raid objects with low attitude,the concept of direction probability and a new evaluation index system are *** calculating the whole damaging probability that changes with the defending angle,the efficiency of the whole weapon network system can be subtly *** such method,we can avoid the inconformity of the description obtained from the traditional index *** new indexes are also proposed,*** index,overlap index and cover index,which help manage the relationship among several *** normalizing the computation results with the Sigmoid function,the matching problem between the optimization algorithm and indexes is well ***,the algorithm of improved marriage in honey bees optimization that proposed in our previous work is applied to optimize the embattlement *** is carried out to show the efficiency of the proposed indexes and the optimization algorithm.

关键词：网络系统优化问题破坏概率算法改进核武器蜜蜂婚姻 Sigmoid函数

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Misplaced item search in a warehouse using an RFID-based Partially Observable Markov Decision Process (POMDP) model

Misplaced item search in a warehouse using an RFID-based Par...

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IEEE International Conference on Automation Science and engineering (CASE)

作者： Sharethram Hariharan Satish T.S. Bukkapatnam Oklahoma State University Stillwater OK USA Networks and Complex Systems Monitoring (COMMSENS) Research Lab Department of Industrial Engineering and Management Oklahoma State University Stillwater OK USA

Inventory misplacement and inaccuracies contribute significantly to the operational expense of the overall supply chain. Radio Frequency Identification (RFID) technology has gained prominence as a solution to this approach. However, issues such as presence of metals and frequency interference hamper its performance and value derived out of its implementation in many environments. To analyze the true value of an RFID system we formulate a Partially Observable Markov Decision Process (POMDP) model for RFID directed search to detect misplaced items. A forklift operator (FLO) in a warehouse assigned to locate a misplaced item is guided by the imperfect variations in the strength of the signal received from the RFID tag (active or passive). The POMDP considers five possible FLO actions, five RFID observations in scenarios with different reader-tag signal strength distributions. The results indicate that the POMDP can provide shortest path to locate the tag when RFID signal strength is high . As the signal strength decreases, the signals received (observations) become more dispersed, and the number of steps to reach the tag increases considerably. The expected reward (roughly reduction in search effort) from a 20-step POMDP with high signal strength was 18 times higher than for the low strength (i.e., poor/dispersed observations) model. While even a poorly designed RFID system provides marginal benefits in environments devoid of a sophisticated warehouse management system (WMS), the results show that with the use of WMS (i.e., situations involving strong prior knowledge) adopting a poorly designed RFID system may actually cost the firm more than without it.

关键词： Radiofrequency identification Marketing and sales Supply chains Frequency Interference Industrial engineering engineering management Imaging phantoms Automation Active RFID tags

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An innovative generation control system for improving design and stability of shipboard medium-voltage DC Integrated Power System

An innovative generation control system for improving design...

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IEEE Electric Ship Technologies Symposium, ESTS

作者： Vittorio Arcidiacono Antonello Monti Giorgio Sulligoi Research & Development Division M. A. I. Control Systems Limited Milan Italy Institute of Automation of Complex Power Systems E.ON Energy Research Center RWTH Aachen University Aachen Germany Department of Electrical Electronic and Computer Engineering University of Trieste Trieste Italy

Ensuring system stability in medium-voltage DC (MVDC) integrated power systems (IPS) is a key issue, due to the presence of many shipboard electric users fed by constant power load (CPL) converters. This paper presents an innovative control system aimed at utilizing alternators, connected to the IPS through controlled AC-DC interface converters, to improve MVDC stable voltage control. Such system is designed to control, for each shipboard generator, the AC machine voltage, the prime mover speed and the interface converter, in an integrated way. Technological aspects and control principle scheme of this system will be presented in the paper, with particular reference to the issue of DC-link voltage stability. This system is expected to bring advantages in terms of MVDC IPS integration, stable parallel operation of generators and loads, safe exploitation of alternators capability as a source of stabilizing power.

关键词： Power system stability DC generators Power generation Control systems Medium voltage Power system control Power systems Voltage control Alternators Analog-digital conversion

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Solving convex optimization problems using recurrent neural networks in finite time

Solving convex optimization problems using recurrent neural ...

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International Joint Conference on Neural Networks (IJCNN)

作者： Long Cheng Zeng-Guang Hou Noriyasu Homma Min Tan Madam M. Gupta The Key Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy and Sciences Beijing China School of Health Sciences Faculty of Medicine Chinese Academy and Sciences Sendai Japan Intelligent Systems Research Laboratory College of Engineering University of Saskatchewan Saskatoon SAS Canada

A recurrent neural network is proposed to deal with the convex optimization problem. By employing a specific nonlinear unit, the proposed neural network is proved to be convergent to the optimal solution in finite time, which increases the computation efficiency dramatically. Compared with most of existing stability conditions, i.e., asymptotical stability and exponential stability, the obtained finite-time stability result is more attractive, and therefore could be considered as a useful supplement to the current literature. In addition, a switching structure is suggested to further speed up the neural network convergence. Moreover, by using the penalty function method, the proposed neural network can be extended straightforwardly to solving the constrained optimization problem. Finally, the satisfactory performance of the proposed approach is illustrated by two simulation examples.

关键词： Recurrent neural networks Neural networks Constraint optimization Asymptotic stability Current supplies Convergence Robot control Design optimization Lagrangian functions Quadratic programming

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Abstracts from the 2011 Joint Annual Meeting of the Society for Northwestern Vertebrate Biology and Washington Chapter of the Wildlife Society, Held at the Wesley Inn, Gig Harbor, Washington, March 23–25, 2011

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Northwestern Naturalist 2011年第2期92卷 136-166页

作者： Michael J. Adams Christopher A. Pearl Jessica Y. Adkins Daniel D. Roby Ladd Bayliss Peter J. Loschl Donald E. Lyons Yasuko Suzuki Hannah E. Anderson Sarah T. Hamman Keith B. Aubry Catherine M. Raley John J. Rohrer Eric C. Lofroth Scott H. Fitkin Michael L. Best Hartwell H. Welsh Jamie B. Bettaso Don T. Ashton Hartwell H. Welsh Scott McBain Lindsay M. Biga Andrew R. Blaustein Susan F. Brady R. Steven Wagner Daniel J. Selski James E. Johnson R. Bruce Bury Wynn W. Cudmore Hartwell H. Welsh Nathan D. Chelgren Tara Chestnut Chaucney W. Anderson Julie Kirshtein Megan T. Cook Tiffany S. Garcia Stephen Corn Erin Muths Amanda Kissel Rick Scherer Eric Delvin Jonathan D. Bakker Peter W. Dunwiddie Diana L. Dishman Deborah A. Duffield Harriet R. Huber Dyanna M. Lambourn Karen M. Dvornich Greg Falxa Gary M. Fellers Patrick M. Kleeman David Miller Brandon Fessler Jason T. Irwin Daniel D. Beck R. Steven Wagner Marc P. Hayes John A. Frew Christian E. Grue Chris R. Friesen Robert T. Mason Stevan J. Arnold Suzanne Estes Tiffany S. Garcia Katie M. Dugger Josh Johnson Mike Rochelle A. J. Kroll Stephanie S. Gervasi Caren S. Goldberg Dan Davis Erica Bree Rosenblum Bill Bosworth Lisette P. Waits Purnima Govindarajulu Gregory A. Green Steve Negri Jennifer R. Griffiths Daniel E. Schindler Christian E. Grue Karen M. Dvornich Adam G. Hansen David A. Beauchamp Casey M. Baldwin Marc P. Hayes Gretchen Padgett-Flohr Blake R. Hossack Winsor H. Lowe Paul Stephen Corn Aaron N. Johnston Kris Kendell Dave Prescott Scott Stevens Peter M. Kiffney Carol Volk Kerensa A. King Christian E. Grue James M. Grassley Andrew J. Kroll Matt Hane Josh Johnston Mike Rochelle Stuart Farber Niels Leuthold Michael J. Adams John P. Hayes Bo Li Michael T. Brett Kent B. Livezey Ilon E. Logan Teresa J. Lorenz Kimberly A. Sullivan Amanda V. Bakian Deanna Lynch Nancy Thomas Krysten Schuler Steven Jeffries Joshua Malt Kelly R. McAllister Joanne P. Schuett-Hames Aimee P. McIntyre Jay E. Jones Eric M. Lund Frithiof T. Waterstrat Jack N. Giovanini Stephen D. Duke Marc P. Hayes US Forest Service Pacific Northwest Research Station Olympia WA 98512 kaubry@fs.fed.us US Forest Service Okanogan-Wenatchee National Forest Methow Valley Ranger District Winthrop WA 98862 British Columbia Ministry of Environment Victoria BC V8W9M1 Washington Department of Fish and Wildlife Winthrop WA 98862 Humboldt State University 1 Harpst St. Arcata CA 95521 addsmike14@*** US Forest Service Pacific Southwest Research Station 1700 Bayside Dr. Arcata CA 95521 hwelsh@fs.fed.us US Fish and Wildlife Service Arcata Field Office 1655 Heindon Road Arcata CA 95521 jamie_bettaso@fws.gov Redwood Sciences Laboratory US Forest Service1700 Bayview Drive Arcata CA 99521 dashton@fs.fed.us hwelsh@fs.fed.us McBain &amp Trush 980 7th Street Arcata CA 95521 scott@*** Oregon State University Environmental Sciences Graduate Program Corvallis OR 97331 lindsay.biga@science.oregonstate.edu Oregon State University Department of Zoology Corvallis OR 97331 US Geological Survey Forest and Rangeland Ecosystem Science Center 3200 SW Jefferson Way Corvallis OR 97331 buryb@usgs.gov Life Science Department Chemeketa Community College Salem OR 97309 wynn.cudmore@chemeketa.edu US Forest Service Redwood Sciences Laboratory 1700 Bayview Drive Arcata CA 95521 hwelsh@fs.fed.us USGS Oregon Water Science Center 2130 SW 5th Avenue Portland OR 97207 chestnut@usgs.gov USGS Headquarters 12201 Sunrise Valley Drive Reston VA 20192 US Geological Survey Northern Rocky Mountain Science Center Aldo Leopold Wilderness Research Institute 790 E. Beckwith Avenue Missoula MT 59801 scorn@usgs.gov US Geological Survey Fort Collins Science Center 2150 Centre Avenue Building C Fort Collins CO 80526 Department of Biological Sciences Simon Fraser University Burnaby BC V5A 1S6 Colorado State University Department of Fishery and Wildlife Biology Fort Collins CO 80523 The Nature Conservancy 120 Union Ave SE Olympia WA 98501 edelvin@tnc.org School of Forest Resources University of Washington Seattle WA

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An FES cycling control system based on CPG

An FES cycling control system based on CPG

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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： Peng-Feng Li Zeng-Guang Hou Feng Zhang Min Tan Hong-Bo Wang Yi Hong Jun-Wei Zhang Graduated School of Chinese Academy of Science Beijing China Key Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy and Sciences Beijing China Key Laboratory of Complex Systems and Intelligence Science Chinese Academy of Sciences Beijing China School of Mechanical Engineering Yanshan University Hebei China Department of SCI Surgery China Rehabilitation Research Center Beijing China

This paper presents a scientific strategy for cycling induced by the functional electrical stimulation. In order to simulate the FES-cycling movement produced by human body, a neuro-musculo-skeletal model containing 16 segments and 186 muscles is developed, which can simulate human movements precisely. This model contains mathematical model of electrically stimulated skeletal muscles. Having known the kinematics and dynamics of the model, we design an FES-cycling control system based on the central pattern generator (CPG), which can produce rhythm stimulus to produce desired torque and generate rhythm cycling movements. And an approach to control multiple muscles is proposed. In the end of this paper, the simulation results are provided.

关键词： Control systems Biological system modeling Muscles Mathematical model Rhythm Neuromuscular stimulation Humans Kinematics Control system synthesis Centralized control

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Evolutionary dynamics on graphs: Efficient method for weak selection

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Physical Review E 2009年第4期79卷 046707-046707页

作者： Feng Fu Long Wang Martin A. Nowak Christoph Hauert Program for Evolutionary Dynamics Harvard University Cambridge Massachusetts 02138 USA Center for Systems and Control State Key Laboratory for Turbulence and Complex Systems College of Engineering Peking University Beijing 100871 China Department of Organismic and Evolutionary Biology and Department of Mathematics Harvard University Cambridge Massachusetts 02138 USA Department of Mathematics University of British Columbia Vancouver British Columbia Canada V6T 1Z2

Investigating the evolutionary dynamics of game theoretical interactions in populations where individuals are arranged on a graph can be challenging in terms of computation time. Here, we propose an efficient method to study any type of game on arbitrary graph structures for weak selection. In this limit, evolutionary game dynamics represents a first-order correction to neutral evolution. Spatial correlations can be empirically determined under neutral evolution and provide the basis for formulating the game dynamics as a discrete Markov process by incorporating a detailed description of the microscopic dynamics based on the neutral correlations. This framework is then applied to one of the most intriguing questions in evolutionary biology: the evolution of cooperation. We demonstrate that the degree heterogeneity of a graph impedes cooperation and that the success of tit for tat depends not only on the number of rounds but also on the degree of the graph. Moreover, considering the mutation-selection equilibrium shows that the symmetry of the stationary distribution of states under weak selection is skewed in favor of defectors for larger selection strengths. In particular, degree heterogeneity—a prominent feature of scale-free networks—generally results in a more pronounced increase in the critical benefit-to-cost ratio required for evolution to favor cooperation as compared to regular graphs. This conclusion is corroborated by an analysis of the effects of population structures on the fixation probabilities of strategies in general 2×2 games for different types of graphs. Computer simulations confirm the predictive power of our method and illustrate the improved accuracy as compared to previous studies.

关键词： Dynamics

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Metaproteomanalyse von Klärschlamm aus Membranbioreaktoren

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Chemie Ingenieur Technik 2010年第9期82卷

作者： R. Kuhn D. Benndorf E. Rapp U. Reichl A. Pollice L. L. Palese IRSA CNR Water Research Institute Viale F. De Blasio 5 I‐70123 Bari Italy Otto‐von‐Guericke‐Universität Bioprocess Engineering Universitätsplatz 2 D‐39106 Magdeburg Germany Max‐Planck‐Institut für Dynamik komplexer technischer Systeme Bioprocess Engineering Sandtorstraße 1 D‐39106 Magdeburg Germany Max Planck Institute for Dynamics of Complex Technical Systems Bioproc. Dept. of Medical Biochemistry Biology and Physics University of Bari Policlinico Piazza G. Cesare I‐70124 Bari Italy

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Method for computing short-range forces between solid-liquid interfaces driving grain boundary premelting

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Physical Review E 2009年第2期79卷 020601(R)-020601(R)页

作者： J. J. Hoyt David Olmsted Saryu Jindal Mark Asta Alain Karma Department of Materials Science and Engineering McMaster University Hamilton Ontario Canada L8S 4L7 Sandia National Laboratories Albuquerque New Mexico 87185 USA Department of Chemical Engineering and Materials Science University of California Davis California 95616 USA Department of Physics and Center for Interdisciplinary Research on Complex Systems Northeastern University Boston Massachusetts 02115 USA

We present a molecular dynamics based method for accurately computing short-range structural forces resulting from the overlap of spatially diffuse solid-liquid interfaces at wetted grain boundaries close to the melting point. The method is based on monitoring the fluctuations of the liquid layer width at different temperatures to extract the excess interfacial free energy as a function of this width. The method is illustrated for a high-energy Σ9 twist boundary in pure Ni. The short-range repulsion driving premelting is found to be dominant in comparison to long-range dispersion and entropic forces and consistent with previous experimental findings that nanometer-scale layer widths may be observed only very close to the melting point.

关键词： entropy fluctuations free energy grain boundaries long-range order melting point short-range order MOLECULAR-DYNAMICS MELTING TRANSITION FUNCTIONAL RENORMALIZATION WETTING TRANSITIONS PHASE-TRANSITION SIMULATION MODEL ALUMINUM

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Band-limited guidance and control of large parafoils

Band-limited guidance and control of large parafoils

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作者： Carter, David Singh, Leena Wholey, Leonard Rasmussen, Scott Barrows, Tim George, Sean McConley, Marc Gibson, Chris Tavan, Steve Bagdonovich, Brian Draper Laboratory 555 Technology Square Cambridge MA 02459 United States US Army Natick Soldier Research Development and Engineering Center Natick MA 01760 United States Decision Systems Group MS 15 United States Aerospace Guidance and Control Group MS 70 United States Tactics Guidance and Control Group MS 77 United States Cognitive Robotics Group MS 77 United States Manned Space Systems Group MS 70 United States Vehicle and Robotics Group MS 23 United States Navigation and Localization Group MS 77 United States Tactical Systems Program Office MS 79 United States NSRDEC 15 Kansas Street United States

ISBN: (纸本)9781563479724

The Natick Soldier research Development and engineering Center has been leading an effort to develop precision guided airdrop systems to accommodate cargo weights from 1 pound to 42,000 pounds. This paper describes flight software developed by Draper Laboratory for one of the largest of these systems. Copyright © 2009 by The Charles Stark Draper Laboratory, Inc.

关键词： Precision engineering

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