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ASRG Seminar
SEMINAR Speaker: Prof. Maamar Bettayeb Electrical & Computer Engineering, University of Sharjah, UAE Distinguished Adjunct Professor, King Abdulaziz University Professor Maamar Bettayeb received the B.S., M.S., and Ph.D. degrees in Electrical Engineering from University of Southern California, in 1976, 1978 and 1981, respectively. He worked as a Research Scientist at the Bellaire Research Centre at Shell Oil Development Company, Houston, Texas, during 1981/1982. From 1982 to 1988, He directed the Instrumentation and Control Laboratory of High Commission for Research in Algeria. In 1988, He joined the Electrical Engineering Department at King Fahd University of Petroleum and Minerals, Dhahran, until 2000. He has been Professor at University of Sharjah, UAE since August 2000. He is also currently Distinguished Adjunct Professor at King Abdulaziz University. He has published over 300 journal and conference papers in the fields of control and signal processing, with applications to power systems, communications, process control, nuclear, chemical and mechanical systems, ultrasonic defect identification and image processing. He has also supervised over 50 M. Sc. and Ph. D. students. He has been involved in national and international accreditations and developed several strategic plans for research and graduate studies. His research interest is in H∞ optimal control, model reduction, signal and image processing, networked control systems, fractional dynamic modelling and control, soft computing, wavelets, renewable energies and engineering education. Date: Tuesday, April 01, 2014 Time: 3:00 PM Venue: Building 42A, Third floor, Room 333 Title Signals and Transforms Abstract Signals and transforms play a major role in the development of Systems Theory which has broad applications in Science and Engineering, including Mathematics, Physics, Communications, Control, Signal and Image Processing, and Computer Science. -
Quantum-Enhanced Reinforcement Learning for Finite-Episode Games
Quantum-enhanced reinforcement learning for finite-episode games with discrete state spaces 1 1 2 2 Florian Neukart∗ , David Von Dollen , Christian Seidel , and Gabriele Compostella 1Volkswagen Group of America 2Volkswagen Data:Lab Abstract Quantum annealing algorithms belong to the class of metaheuristic tools, applicable for solving binary optimization problems. Hardware implementations of quantum annealing, such as the quantum annealing machines produced by D-Wave Systems [1], have been subject to multiple analyses in research, with the aim of characterizing the technology’s usefulness for optimization and sampling tasks [2–16]. Here, we present a way to partially embed both Monte Carlo policy iteration for finding an optimal policy on random observations, as well as how to embed n sub-optimal state-value functions for approximating an improved state-value function given a policy for finite horizon games with discrete state spaces on a D-Wave 2000Q quantum processing unit (QPU). We explain how both problems can be expressed as a quadratic unconstrained binary optimization (QUBO) problem, and show that quantum-enhanced Monte Carlo policy evaluation allows for finding equivalent or better state-value functions for a given policy with the same number episodes compared to a purely classical Monte Carlo algorithm. Additionally, we describe a quantum-classical policy learning algorithm. Our first and foremost aim is to explain how to represent and solve parts of these problems with the help of the QPU, and not to prove supremacy over every existing classical policy evaluation algorithm. arXiv:1708.09354v3 [quant-ph] 15 Sep 2017 ∗Corresponding author: [email protected] 1 1 Introduction The physical implementation of quantum annealing that is used by the D-Wave machine minimizes the two-dimensional Ising Hamiltonian, defined by the operator H: H(s) = hisi + Jijsisj. -
Singular Value Decomposition Based Model Order Reduction Techniques
Singular Value Decomposition Based Model Order Reduction Techniques by Ahmad Jazlan Bin Haja Mohideen A thesis submitted to the School of Electrical, Electronic and Computer Engineering in partial fulfilment of the requirements for the degree of Doctor of Philosophy Faculty of Engineering, Computing and Mathematics University of Western Australia September 2016 Statement of Originality The content of this thesis are the results of original research and have not been submitted for a higher degree at any other institution. The content of Chapter 3 are currently under review for publication in an international refereed journal. The content of Chapter 4 and Chapter 5 have been published in international ref- ereed journals. The content of Chapter 6 and Chapter 8 have been published in international refereed conference proceedings. The content of Chapter 7 have been presented at an international refereed conference and will appear in the conference proceedings. Published International Refereed Journal Papers 1. Jazlan, A., Sreeram, V., Shaker, H.R.,Togneri, R. and Minh, H.B., Frequency Interval Cross Gramians for Linear and Bilinear Systems, Asian Journal of Control, Vol. 19, No. 1, pp. 22-34, (2016) - Chapter 4 2. Jazlan, A., Sreeram, V., Shaker, H.R. and Togneri, R., Frequency interval balanced truncation of discrete-time bilinear systems, Cogent Engineering, Vol. 3, No. 1, pp. 1-15, (2016) - Chapter 5 Journal Paper Submission Currently Under Review 1. Jazlan, A., Houlis, P., Sreeram, V. and Togneri, R., Comments on \A Parametrized Controller Reduction Technique via a New Frequency Weighted Model Reduc- tion Formulation \- Under Review by Asian Journal of Control - Chapter 3 International Refereed Conference Papers 1. -
Advantage Austria Industry Report Usa
ADVANTAGE AUSTRIA INDUSTRY REPORT USA THE FUTURE OF PERSONAL MOBILITY TRENDS FROM SILICON VALLEY MOBILITY SERVICES OF THE FUTURE AUTONOMOUS DRIVING ELECTROMOBILITY & CONNECTIVITY INDUSTRY EVENTS OPPORTUNITIES & SUCCESS FACTORS IN SILICON VALLEY ADVANTAGE AUSTRIA OFFICE, SAN FRANCISCO OCTOBER 2019 2 Our complete range of services in regard to automotive, urban technologies, logistics and rail transport (events, publications, news etc.) can be found at wko.at/aussenwirtschaft/automotive, wko.at/aussenwirtschaft/urban, wko.at/aussenwirtschaft/logistik and wko.at/aussenwirtschaft/schienenverkehr. An information publication from the Advantage Austria office in San Francisco T +1 650 750 6220 E [email protected] W wko.at/aussenwirtschaft/us fb.com/aussenwirtschaft twitter.com/wko_aw linkedIn.com/company/aussenwirtschaft-austria youtube.com/aussenwirtschaft flickr.com/aussenwirtschaftaustria www.austria-ist-ueberall.at This Industry Report was authored by the Advantage Austria office [Austrian Trade Commission] in San Francisco in cooperation with the future.lab and the Aspern.mobil at the Vienna University of Technology. Content development for the report was led by Aggelos Soteropoulos, a member of the future.lab and of the research unit for transport system planning. As part this process, Aggelos conducted several interviews with locally-based experts during a stay in Silicon Valley and attended numerous conferences and industry events. This Sector Report has been drawn up free of charge for members of the Austrian Economic Chamber as part -
Notices of the American Mathematical
ISSN 0002-9920 Notices of the American Mathematical Society AMERICAN MATHEMATICAL SOCIETY Graduate Studies in Mathematics Series The volumes in the GSM series are specifically designed as graduate studies texts, but are also suitable for recommended and/or supplemental course reading. With appeal to both students and professors, these texts make ideal independent study resources. The breadth and depth of the series’ coverage make it an ideal acquisition for all academic libraries that of the American Mathematical Society support mathematics programs. al January 2010 Volume 57, Number 1 Training Manual Optimal Control of Partial on Transport Differential Equations and Fluids Theory, Methods and Applications John C. Neu FROM THE GSM SERIES... Fredi Tro˝ltzsch NEW Graduate Studies Graduate Studies in Mathematics in Mathematics Volume 109 Manifolds and Differential Geometry Volume 112 ocietty American Mathematical Society Jeffrey M. Lee, Texas Tech University, Lubbock, American Mathematical Society TX Volume 107; 2009; 671 pages; Hardcover; ISBN: 978-0-8218- 4815-9; List US$89; AMS members US$71; Order code GSM/107 Differential Algebraic Topology From Stratifolds to Exotic Spheres Mapping Degree Theory Matthias Kreck, Hausdorff Research Institute for Enrique Outerelo and Jesús M. Ruiz, Mathematics, Bonn, Germany Universidad Complutense de Madrid, Spain Volume 110; 2010; approximately 215 pages; Hardcover; A co-publication of the AMS and Real Sociedad Matemática ISBN: 978-0-8218-4898-2; List US$55; AMS members US$44; Española (RSME). Order code GSM/110 Volume 108; 2009; 244 pages; Hardcover; ISBN: 978-0-8218- 4915-6; List US$62; AMS members US$50; Ricci Flow and the Sphere Theorem The Art of Order code GSM/108 Simon Brendle, Stanford University, CA Mathematics Volume 111; 2010; 176 pages; Hardcover; ISBN: 978-0-8218- page 8 Training Manual on Transport 4938-5; List US$47; AMS members US$38; and Fluids Order code GSM/111 John C. -
Decentralized Networked Control Systems: Control and Estimation Over Lossy Channels
University of Sharjah College of Engineering Department of Electrical and Computer Engineering DECENTRALIZED NETWORKED CONTROL SYSTEMS: CONTROL AND ESTIMATION OVER LOSSY CHANNELS by Muhammad Ali S. M. Al-Radhawi Supervisor Professor Maamar Bettayeb Program Master of Science in Electrical Engineering January 12, 2011 DECENTRALIZED NETWORKED CONTROL SYSTEMS: CONTROL AND ESTIMATION OVER LOSSY CHANNELS by Muhammad Ali S. M. Al-Radhawi A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in the Department of Electrical and Computer Engineering, University of Sharjah Approved by: Maamar Bettayeb ..................................... Chairman Professor of Electrical Engineering, University of Sharjah Abdulla Ismail ........................................ ..............Member Professor of Electrical Engineering, United Arab Emirates University Qassim Nasir ......................................... ..............Member Associate Professor of Electrical Engineering, University of Sharjah January 12, 2011 ii (( )) "O my Lord! increase me in knowledge" (Quran XX.114) (( )) "Are they equal, those who know and those who know not?" (Quran XXXIX.9) iii Acknowledgements First and foremost, the completion of this thesis has been merely by the grace of God, and through Him I have been able to understand and appreciate the real beauty and value of mathematics, and knowledge in general. I would like to sincerely and deeply thank my advisor, Professor Maamar Bettayeb. His support, and encouragement helped me a lot through the steps of my thesis. I will always appreciate and remember the many hours that we used to spend in his office discussing various research directions. At times he had more faith in me than I, and I hope that my work lived up to some of his expectations. -
The Transverse-Field Ising Spin Glass Model on the Bethe Lattice
Statistical Physics SISSA { International School for Advanced Studies The Transverse-Field Ising Spin Glass Model on the Bethe Lattice with an Application to Adiabatic Quantum Computing Gianni Mossi Thesis submitted for the degree of Doctor of Philosophy 4 October 2017 Advisor: Antonello Scardicchio ii Abstract In this Ph.D. thesis we examine the Adiabatic Quantum Algorithm from the point of view of statistical and condensed matter physics. We do this by studying the transverse-field Ising spin glass model defined on the Bethe lattice, which is of independent interest to both the physics community and the quantum computation community. Using quantum Monte Carlo methods, we perform an extensive study of the the ground-state properties of the model, including the R´enyi entanglement entropy, quantum Fisher information, Edwards{Anderson parameter, correlation functions. Through the finite-size scaling of these quantities we find multiple indepen- dent and coinciding estimates for the critical point of the glassy phase transition at zero temperature, which completes the phase diagram of the model as was previously known in the literature. We find volumetric bipartite and finite mul- tipartite entanglement for all values of the transverse field considered, both in the paramagnetic and in the glassy phase, and at criticality. We discuss their implication with respect to quantum computing. By writing a perturbative expansion in the large transverse field regime we develop a mean-field quasiparticle theory that explains the numerical data. The emerging picture is that of degenerate bands of localized quasiparticle excita- tions on top of a vacuum. The perturbative energy corrections to these bands are given by pair creation/annihilation and hopping processes of the quasipar- ticles on the Bethe lattice. -
Download Issue #383
E-LETTER ON SYSTEMS,CONTROL,&SIGNAL PROCESSING ISSUE 383, JULY 2020 Editor: Ahmad F. Taha Department of Electrical & Computer Engineering The University of Texas at San Antonio 1 UTSA Circle, San Antonio, TX 78249 [email protected] http://engineering.utsa.edu/ataha Welcome to Issue 383 of the CSS E-letter available here. – To submit new articles, visit article submissions on the E-Letter website. – To subscribe, send an empty email to [email protected] and you will be automatically subscribed to the CSS E-Letter. – To unsubscribe, please send a blank email to [email protected] and you will be automatically unsubscribed. The next E-Letter will be mailed out at the beginning of August 2020. Contents 1. IEEE CSS Headlines 1.1 Become a CSS Member 1.2 Follow the CSS Social Media Accounts 1.3 CSS Technically Cosponsored Events 1.4 CSS Publications Content Digest 1.5 IEEE Transactions on Automatic Control 1.6 IEEE Transactions on Control Systems Technology 1.7 IEEE Control Systems Letters 1.8 IEEE Transactions on Control of Network Systems 1.9 Submission to IEEE Control Systems Letters with ACC 2021 2. Miscellaneous 2.1 EECI PhD Award 2019 3. Books 3.1 Active Control of Bidirectional Structural Vibration 3.2 Variable-Structure Systems and Sliding-Mode Control: Theory to Practice 3.3 Controller Design for Distributed Parameter Systems 3.4 Linear Feedback Controls: The Essential 3.5 Advanced Seat Suspension Control System Design for Heavy Duty Vehicles 3.6 Vibration Control and Actuation of Large-Scale Systems 3.7 Digital Twin Development and Deployment on the Cloud 3.8 Optimal Impulsive Control for Cancer Therapy 3.9 Control Theory in Biomedical Engineering 4. -
Office of the Assistant Director
MATHEMATICAL AND PHYSICAL SCIENCES ADVISORY COMMITTEE MEMBERSHIP LIST Term Expires: 09/30/2018 Dr. Melanie Sanford University of Michigan [email protected] Selected Honors ACS Sierra Nevada Section: Distinguished Chemist Award, 2013 Raymond and Beverly Sackler Prize in Chemistry, 2013 Fellow, American Association for the Advancement of Science, 2011 Biographical Information: http://www.umich.edu/~mssgroup/docs/Sanford_CV_F_2014.pdf Dr. Robert Bryant Duke University [email protected] Selected Honors: Fellow, American Mathematical Society, 2013 Distinguished Alumni Award from the College of Physical and Mathematical Sciences, NCSU Alumni Association, 2005 Biographical Information: http://fds.duke.edu/db/aas/math/faculty/bryant/ Dr. William Zajc Columbia University [email protected] Selected Honors Fellow, American Physical Society Additional Information: http://www.nevis.columbia.edu/~zajc/MakeZajcCV.pdf Biographical Information on MPSAC members can be found at the publically available web sites indicated with each name. NSF is not responsible for the content of those web sites. MATHEMATICAL AND PHYSICAL SCIENCES ADVISORY COMMITTEE MEMBERSHIP LIST Term Expires: 09/30/2018 Dr. Lynne Hillenbrand California Institute of Technology [email protected] Biographical Information: http://www.astro.caltech.edu/~lah/Site/%40Caltech.html Dr. Susanne Brenner Louisiana State University [email protected] Selected Honors 2010 Fellow, Society for Industrial and Applied Mathematics 2013 Fellow, American Mathematical Society 2012 Fellow, American Association for the Advancement of Science Humboldt Research Award Additional Information: https://www.math.lsu.edu/~brenner/ Biographical Information on MPSAC members can be found at the publically available web sites indicated with each name. NSF is not responsible for the content of those web sites. -
Office of the Assistant Director
MATHEMATICAL AND PHYSICAL SCIENCES ADVISORY COMMITTEE MEMBERSHIP LIST Term Expires: 09/30/2017 Dr. Phil Bucksbaum Stanford University [email protected] Selected Honors: American Academy of Arts and Sciences Member, National Academy of Sciences Biographical Information: https://physics.stanford.edu/people/faculty/phil-bucksbaum Dr. Mark Cardillo The Camille & Henry Dreyfus Foundation [email protected] Selected Honors Fellow, American Physical Society Fellow, American Association for the Advancement of Science PEL Associates Award in Applied Polymer Chemistry, 2000 Innovations in Real Materials Award, 1998 Medard Welch Award of the American Vacuum Society, 1987 Biographical Information: http://www.dreyfus.org/about/staff-bio.shtml Dr. Jennifer Chayes Microsoft Research New England [email protected] Selected Honors Leadership Award of Women Entrepreneurs in Science and Technology Women Leadership Vision Award of the Anita Borg Institute Fellow, American Mathematical Society Fellow, Association of Computing Machinery Fellow, American Association for the Advancement of Science Fellow, Fields Institute Elected Member, American Academy of Arts and Sciences John von Neumann Lecture Award, Society for Industrial & Applied Mathematics Biographical Information: http://research.microsoft.com/en-us/um/people/jchayes/ Biographical Information on MPSAC members can be found at the publically available web sites indicated with each name. NSF is not responsible for the content of those web sites. MATHEMATICAL AND PHYSICAL SCIENCES ADVISORY COMMITTEE MEMBERSHIP LIST Term Expires: 09/30/2017 Dr. Graham Cooks Purdue University [email protected] Selected Honors Fellow, National Academy of Science, 2015 Dreyfus Prize in the Chemical Sciences, 2013 Purdue University Morrill Award, 2012 Fellow of the American Academy of Arts and Sciences, 2010 Biographical Information: https://www.chem.purdue.edu/people/directory/faculty/details/1 Dr. -
ECE Short Course
E C E S hort Course Speaker: Professor Maamar Bettayeb Electrical and Computer Engineering Department, University of Sharjah, UAE Distinguished Adjunct Professor, College of Engineering, King Abdulaziz University Short Biography Professor Maamar Bettayeb received the B.S., M.S., and Ph.D. degrees in Electrical Engineering from University of Southern California, Los Angeles, in 1976, 1978 and 1981, respectively. He worked as a Research Scientist at the Bellaire Research Center at Shell Oil Development Company, Houston, Texas, USA, during 1981/1982. From 1982 to 1988, He directed the Instrumentation and Control Laboratory of High Commission for Research in Algeria. In 1988, He joined the Electrical Engineering Department at King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia, until 2000. He has been Professor at University of Sharjah UAE since August 2000. He is also currently Distinguished Adjunct Professor at the College of Engineering, , College of Engineering, King Abdulaziz University Abdulaziz King Engineering, of , College King Abdulaziz University, Jeddah, KSA. He has published over 300 journal and conference papers in the fields of control and signal processing. He has also supervised over 50 M. Sc. and Ph. D. students. Throughout his career, Professor Bettayeb received ample recognition for his work in the form of awards and honors, such as the Best Distinguished Research Award in 1993-94 and 1998- 99, and the Outstanding Advisor Award in 1996-97 at KFUPM. He also received the Best Researcher Award at University of Sharjah in 2001-2002, 2006-2007, 2007-2008 and 2010-2011, the Best Research Paper Bank of Sharjah Award in 2003-2004, the Best Research Project Award in 2006-2007, supervisor for the Best Student Paper Award, supervisor for the Best Student Project Award in 2006-2007, supervisor for the Best Master Thesis Award in 2009-2010 as well as the Best Teaching Award at University of Sharjah in 2011-2012. -
Performance Analysis of a Hybrid Agent for Quantum-Accessible Reinforcement Learning
Performance analysis of a hybrid agent for quantum-accessible reinforcement learning Arne Hamann1 and Sabine W¨olk1, 2 1Institut f¨urTheoretische Physik, Universit¨atInnsbruck, Technikerstraße 21a, 6020 Innsbruck, Austria 2Institute of Quantum Technologies, German Aerospace Center (DLR), D-89077 Ulm, Germany (Dated: July 30, 2021) In the last decade quantum machine learning has provided fascinating and fundamental improve- ments to supervised, unsupervised and reinforcement learning. In reinforcement learning, a so-called agent is challenged to solve a task given by some environment. The agent learns to solve the task by exploring the environment and exploiting the rewards it gets from the environment. For some classical task environments, such as deterministic strictly epochal environments, an analogue quan- tum environment can be constructed which allows to find rewards quadratically faster by applying quantum algorithms. In this paper, we analytically analyze the behavior of a hybrid agent which combines this quadratic speedup in exploration with the policy update of a classical agent. This leads to a faster learning of the hybrid agent compared to the classical agent. We demonstrate that if the classical agent needs on average hJi rewards and hT ic epochs to learn how to solve the p task, the hybrid agent will take hT iq ≤ α hT ichJi epochs on average. Here, α denotes a constant which is independent of the problem size. Additionally, we prove that if the environment allows for maximally αokmax sequential coherent interactions, e.g. due to noise effects, an improvement given by hT iq ≈ αohT ic=4kmax is still possible. I. INTRODUCTION able epochal length [23] also exist and for specific en- vironments super-polynomial and exponential improve- The application of quantum algorithms to machine ments have been demonstrated [24].