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2010 49th IEEE Conference on Decision and control

作者： Benjamin Passenberg Marion Sobotka Olaf Stursberg Martin Buss Peter E. Caines Institute of Automatic Control Department of Electrical Engineering and Information Technology Technische Universitat Munchen Munchen Germany Institute of Control and System Theory Department of Electrical Engineering and Computer Science University of Kassel Kassel Germany Department of Electrical and Computer Engineering and the Center for Intelligent Machines McGill University Montreal Canada

ISBN: (纸本)9781424477456

An algorithm for hybrid optimal control is proposed that varies the discrete state sequence based on gradient information during the search for an optimal trajectory. The algorithm is developed for hybrid systems with partitioned state space. It uses a version of the hybrid minimum principle that allows optimal trajectories to pass through intersections of switching manifolds, which enables the algorithm to vary the sequence. Consequently, the combinatorial complexity of former algorithms can be avoided, since not each possible sequence has to be investigated separately anymore. The convergence of the algorithm is proven and a numerical example demonstrates the efficiency of the algorithm.

关键词： Switches Manifolds Trajectory Complexity theory Partitioning algorithms Convergence Aerospace electronics

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The Minimum Principle for Hybrid systems with Partitioned State Space and Unspecified Discrete State Sequence

The Minimum Principle for Hybrid Systems with Partitioned St...

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2010 49th IEEE Conference on Decision and control

作者： Benjamin Passenberg Peter E. Caines Marion Sobotka Olaf Stursberg Martin Buss Institute of Automatic Control Department of Electrical Engineering and Information Technology Technische Universitat Munchen Munchen Germany Department of Electrical and Computer Engineering and the Center for Intelligent Machines McGill University Montreal Canada Institute of Control and System Theory Department of Electrical Engineering and Computer Science University of Kassel Kassel Germany

ISBN: (纸本)9781424477456

The hybrid minimum principle (HMP) gives necessary conditions to be satisfied for optimal solutions of a hybrid dynamical system. In particular, the HMP accounts for autonomous switching between discrete states that occurs whenever the trajectory hits switching manifolds. In this paper, the existing HMP is extended for hybrid systems with partitioned state space to provide necessary conditions for optimal trajectories that pass through an intersection of switching manifolds. This extension is especially useful for the numerical solution of hybrid optimal control problems as it allows for algorithms with significant reduction of computational complexity. Algorithms based on previous versions of the HMP solve separate optimal control problems for each possible sequence of discrete states. The extension enables us to consider the optimal sequence as subject of optimal control that is varied and finally determined during a single optimization run. A first numerical result illustrates the effectiveness of an algorithm based on the extended HMP.

关键词： state space minimum principle hybrid systems Manifolds Optimal control DYNAMICAL systemS discrete element

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Multi-source signals guiding swarm robots search 1

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22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent systems, IEA/AIE 2009

作者： Xue, Songdong Zeng, Jianchao Du, Jing Yang, Xiaomei College of Electrical and Information Engineering Lanzhou University of Technology 85 Langongping Lanzhou Gansu 730050 China Complex System and Computational Intelligence Laboratory Taiyuan University of Science and Technology 66 Waliu Road Taiyuan Shanxi 030024 China North Automatic Control Technology Institute China North Industries Group Corporation 351 South Sports Road Taiyuan Shanxi 030006 China

ISBN: (数字)9783642025686

ISBN: (纸本)3642025676

Victim search with swarm robots on gas outburst spot in coal mines is investigated. Upon modeling swarm robotic system with extended particle swarm optimization, heterogeneous signals are fused by each robot independently as fitness evaluate. To fuse signals of intermittent sound of call for help, periodic radio frequency waves and continuous gas, concepts of detection-success binary logic and perceptual event are introduced into describing detection process. Based on statistical properties, detectable range, localization type and accuracy, priority is determined with information entropy-based criteria. Then the best-found position is decided in a distributed fashion through election operation. Simulation conducted in closed signal propagation environment indicates the approximate relation between fusion value and distance, i.e., the nearer the robot is far away from target, the higher the fusion of signals. © 2009 Springer Berlin Heidelberg.

关键词： Swarm intelligence

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Annual business and news: Beginning the 32nd year

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Journal of Guidance, control, and Dynamics 2009年第1期32卷 1-7页

作者： Schmidt, George T. Akella, Maruthir Balakrishnan, S.N. Campbell, Mark E. Clarke, John-Paul Colgren, Richard D. Crassidis, John L. Doman, David B. Eke, Fidelis O. Enns, Russell J. Gawronski, Wodek Hablani, Hari B. Leitner, Jesse A. Ping, Lu MacDonald, Malcolm McFarland, Michael B. Melton, Robert G. Mitchell, James Mukhopadhyay, Vivekanand Sasiadek, Jurek Z. Schaub, Hanspeter Wise, Kevin A. United States NATO Systems and Electronics Technology Panel Lecture Series on Low Cost Navigation Sensors and Integration Technology U.S. Air Force Office of Scientific Research United States United States American Automatic Control Council United States Sibley School of Mechanical and Aerospace Engineering Cornell University United States School of Aerospace Engineering Air Transportation Laboratory Georgia Institute of Technology United States Lockheed Martin Aeronautics Company Palmdale CA United States United States Wright-Patterson Air Force Base Dayton OH United States Davis United States Apache Longbow Jet Propulsion Laboratory California Institute of Technology United States GSFC United States Department of Aerospace Engineenng Iowa State University United States Raytheon Electronic Systems United States Department of Aerospace Engineering Pennsylvania State University United States NASA Langley Research Center United States Indian Institute of Technology India Department of Aerospace Engineering Carleton University Canada International Federation of Automatic Control Robotics Technical Committee Joint Robotics and Control Systems Societies Chapter Ottawa Canada X-45 Joint-Unmanned Combat Air System Program

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CARS setup for exhaust gas and combustion analysis

CARS setup for exhaust gas and combustion analysis

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IEEE Conference on Vehicle Power and Propulsion (VPPC)

作者： Hu Zhang Jing-min Dai Zhao Jin Chun-suo Xin Institute of Automatic Detecting and Process Control System (D&CS) Harbin Institute of Technology Harbin China Department of Electrical Engineering Harbin Institute of Technology Harbin China

ISBN: (纸本)9781424418480

Coherent anti-stokes Raman spectroscopy (CARS) is introduced, and several existing CARS methods are discussed and compared. Application in vehicle research is attempted through necessary modification on the basis of classical CARS theory. Classical theoretical spectrum calculation model is still suitable for the new situation. The design of CARS setup, which provides solutions for not only exhaust gas analysis but also engine combustion evaluation, is put forward. As the typical probe molecule, N 2 is modeled for combustion evaluation while CO 2 is emphasized on exhaust gas analysis. For multi-species analysis, several advanced CARS methods are introduced and expanded setup design using dual-pump CARS is shown. Elementary analysis has demonstrated that CARS has the capabilities of combustion evaluation and exhaust gas analysis. Temperature measurement accuracy can be plusmn10 K or higher and spatial resolution can be 1 cm or higher according to the instrument performance. Despite of some drawbacks the setup we developed can be useful for vehicle detection.

关键词： Combustion Vehicles Plasma measurements Raman scattering Plasma temperature Engines Instruments Frequency Spectroscopy Nonlinear optics

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Annual business and news:: Beginning the 31st year of the Journal of Guidance, control, and Dynamics

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JOURNAL OF GUIDANCE control AND DYNAMICS 2008年第1期31卷 1-1页

作者： Schmidt, George T. Aeronautics and Astronautics Massachusetts Institute of Technology (MIT) AIAA Institute of Electrical and Electronics Engineers Russian Federation Academy of Navigation and Motion Control Department of Mechanical and Aerospace Engineering and Engineering Mechanics University of Missouri-Rolla(UMR) Lockheed Electronics Company Center for Space Research University of Texas Austin United States Wright Laboratory Eglin Air Force Base UMR AIAA Guidance Navigation and Control Technical Committee American Automatic Control Council Lockheed Martin Aeronautics Company Palmdale CA United States C4ISR and Unmanned Air Vehicle (UAV) Programs for Air Vehicle Sciences and Systems Accreditation Board Engineering and Technology Inc./Aeronautical National Technical Committee on Guidance Navigation and Control Department of Mechanical and Aerospace Engineering University at Buffalo State University of New York (SUNY) AIAA Technical Committee on GN and C Air Vehicles Directorate Air Force Research Laboratory (AFRL) Wright-Patterson Air Force Base Space Access and Hypersonic Vehicle Guidance and Control Group Control Science Center of Excellence AFRL AIAA Technical Committee on Guidance Navigation and Control Department of Mechanical and Aeronautical Engineering University of California (UC) Davis United States Boeing Company Modernized Flight Control System for the Apache Longbow AIAA Institute of Electrical and Electronics Engineers AHS Jet Propulsion Laboratory California Institute of Technology Boeing Company Flight Sciences and Advanced Design Group Guidance Navigation and Control (GN and C) Systems Engineer Distributed Space Systems NASA Goddard Space Flight Center (GSFC) AIAA GN and C Technical Committee Department of Aerospace Engineering and Engineering Mechanics University of Texas Austin United States Institute of Navigation American Astronautical Society AIAA Guidance Navigation (GN and C) and Control Technical Committee Department of Aerospace Engineering Iowa State University Iowa

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MARKOV DECISION PROCESSES WITH UNCERTAIN TRANSITION RATES: SENSITIVITY AND MAX HYPHEN MIN control

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Asian Journal of control 2008年第2期6卷

作者： Suresh Kalyanasundaram Edwin K. P. Chong Ness B. Shroff Motorola India Electronics Limited No. 66/1 Plot 5 Bagmane Techpark C. V. Raman Nagar Post Bangalore 560 093 India. Department of Electrical and Computer Engineering Colorado State University Fort Collins CO 80523-1373 USA. Professor Edwin K. P. Chong received the B.E.(Hons.) degree with First Class Honors from the University of Adelaide South Australia in 1987 graduating top of his class and the M.A. and Ph.D. degrees in 1989 and 1991 respectively both from Princeton University where he held an IBM Fellowship. He joined the School of Electrical and Computer Engineering at Purdue University in 1991 where he was named a University Faculty Scholar in 1999 and promoted to Full Professor in 2001. Since August 2001 he has been a Professor of Electrical and Computer Engineering and Professor of Mathematics at Colorado State University. His current interests are in communication networks and optimization methods. He coauthored the best-selling book An Introduction to Optimization 2nd Edition Wiley-Interscience 2001. He received the NSF CAREER Award in 1995 and the ASEE Frederick Emmons Terman Award in 1998. He coauthored a paper that was awarded Best Paper in the journal Computer Networks 2003. Professor Chong is a Fellow of the IEEE. He was founding chairman of the IEEE Control Systems Society Technical Committee on Discrete Event Systems and until recently served as an IEEE Control Systems Society Distinguished Lecturer. He has been on the editorial board of the IEEE Transactions on Automatic Control. He is currently on the editorial board of the journal Computer Networks. He has also served on the organizing committees of several international conferences. He has been on the program committees for the IEEE Conference on Decision and Control the American Control Conference the IEEE International Symposium on Intelligent Control IEEE Symposium on Computers and Communications and the IEEE Global Telecommunications Conference. He has also served in the executive committees for the IEEE Co

Solution techniques for Markov decision problems rely on exact knowledge of the transition rates, which may be difficult or impossible to obtain. In this paper, we consider Markov decision problems with uncertain transition rates represented as compact sets. We first consider the problem of sensitivity analysis where the aim is to quantify the range of uncertainty of the average per-unit-time reward given the range of uncertainty of the transition rates. We then develop solution techniques for the problem of obtaining the max-min optimal policy, which maximizes the worst-case average per-unit-time reward. In each of these problems, we distinguish between systems that can have their transition rates chosen independently and those where the transition rates depend on each other. Our solution techniques are applicable to Markov decision processes with fixed but unknown transition rates and to those with time-varying transition rates.

关键词： Markov decision processes sensitivity max-min control call admission control policy iteration

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Drug resistance and phase specificity of cancer chemotherapy-finite versus infinite dimensional models

Drug resistance and phase specificity of cancer chemotherapy...

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5th IASTED International Conference on Modelling, Simulation, and Optimization

作者： Świerniak, Andrzej Śmieja, Jaroslaw Ledzewicz, Urszula Schattler, Heinz Department of Automatic Control Silesian University of Technology Akademicka 16 44-100 Gliwice Poland Department of Mathematics and Statistics Southern Illinois University Edwardsville United States Department of Electrical and System Engineering Washington University St Louis United States

ISBN: (纸本)0889865264

In this paper we combine models that so far have been studied separately, taking into account both the phenomenon of gene amplification and drug specificity in chemotherapy, in their different aspects. The finite dimensional model into account only two levels of drug resistance but it allows for rigorous mathematical analysis. In the infinite dimensional model, the mathematical description is given by an infinite number of state equations with a system matrix, which form allows decomposing the model into two interacting subsystems. While the first one, of finite dimension, can have any form, the second one is infinite dimensional and tridiagonal. We compare both approaches and present our results dealing with optimization of protocols based on optimal control problems formulated for them. The optimal control problem is defined in 1 1 space.

关键词： Biomedical engineering

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Plasma Arc Waste Destruction system (PAWDS) a novel approach to waste elimination aboard ships

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NAVAL ENGINEERS JOURNAL 2006年第3期118卷 139-150页

作者： Kaldas, Aida Picard, Isabelle Chronopoulos, Christos Chevalier, Philippe Carabin, Pierre Holcroft, Gillian Alexander, Gary Spezio, Joseph Mann, Jim Molintas, Henry AIDA KALDAS Eng. is the principal author and Technical Manager at PyroGenesis Inc. She is currently leading the process development team of the Plasma Arc Waste Destruction System for applications on board ships. She holds a Bachelor in Chemical Engineering from Cairo University and a Masters in Engineering Science from the University of Western Ontario. She is a member of “l'Ordre des Ingénieurs du Québec” since 1981. Prior to joining PyroGenesis Inc. Mrs. Kaldas has led several development programs working for Orica (formally ICI Explosives)for over 20 years. Her areas of expertise include process optimization and debottlenecking process modeling and particles processing. ISABELLE PICARD ENG. is a Product Development Engineer at PyroGenesis Inc. She is currently part of the process development team of the Plasma Arc Waste Destruction System for applications on board ships. She holds a Bachelor in Chemical Engineering from “école Polytechnique de Montréal”. She is a member of “l'Ordre des Ingénieurs du Québec” since 1995. Prior to joining PyroGenesis Inc. Mrs. Picard has worked as project leader for several development project related to natural gas applications working for The Natural Gas Technologies Center and as Product Development Engineer for the fuel cell industry working for H Power Canada inc. Her areas of expertise include process development and optimization system integration and equipment sizing. CHRISTOS CHRONOPOULOS Eng. is presently a Product Development Engineer at PyroGenesis Inc. Over the last two years Mr. Chronopoulos has worked on the design and development processes for the treatment of all types of wastes. Prior to joining PyroGenesis Inc. Mr. Chronopoulos worked on process engineering and process development in the Fuel Cell industry for a period of two years and also in the Electronic Plating industry for 4 years. He holds a Bachelor's degree in Chemical Engineering from Sherbrooke University. He is a member of “l'Ordre des Ingénieurs du Québec”. PHILIPPE CHEVALIER Eng. is the

The Plasma Arc Waste Destruction system (PAWDS) uses plasma energy, with temperatures over 5,000 degrees C, to rapidly and efficiently destroy combustible waste aboard ships. PAWDS has proven itself to be a viable alternative to traditional incinerators. >> In September 2003, Carnival Cruise Lines were the first to install a PAWDS aboard their 2,056 passenger (plus 1,000 crew members) capacity, M/S Fantasy cruise ship, to treat ship waste including paper, cardboard, plastics, textiles, wood, and food. As of June 2004, it is being operated and maintained solely by Carnival Cruise Lines personnel and has been permitted to operate in port by the Bahamian port authorities. >> The Navy's next generation aircraft carrier, CVN 21, will be equipped with two FAWDS to process all of the non-food combustible solid waste generated with sufficient system redundancy. The US Navy has been jointly developing the PAWDS with PyroGenesis Inc. over the last 6 years. The development efforts in 2004 and 2005 coupled with lessons learned from operation aboard Carnival's cruise ship have resulted in the identification of additional process and design improvements. Source emission testing by an independent laboratory has also demonstrated that the PAWDS easily meets IMO MARPOL requirements for the destruction of solid waste.

关键词： Waste treatment

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Robust static output feedback for discrete-time systems - LMI approach

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Periodica Polytechnica electrical Engineering 2004年第3-4期48卷 151-163页

作者： Rosinová, D. Veselý, V. Department of Automatic Control System Slovak University of Technology Faculty of Electrical Engineering and IT Bratislava Slovakia

Two novel linear matrix inequality (LMI) based procedures to receive a stabilizing robust output feedback gain are presented, one of them being a modification of previous results of OLIVEIRA et al., [5]. The proposed robust control law stabilizes the respective uncertain discrete-time system described by a polytopic model with guaranteed cost. The obtained results are compared with other LMI results from literature and illustrated on an example.

关键词： Discrete time control systems

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