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"Cooperative Control of Multiagent Systems: Synthesis and Experimentation” by Camille-Alain Rabbath, sponsored by the IEEE Systems, Man & Cybernetics Society This course illustrates the various attributes needed in such systems and the complexity inherent to the design. Cooperative systems are currently limited in capacity and in availability, partly due to this so-called complexity and to the multifaceted nature of design and analysis. This course will focus on the well-known problem of multiagent path planning, with brief discussions of advanced techniques for formation flight health management. The optimization problem and its solution will be cast in the framework of dynamic programming and Markov decision processes, typical of problems of optimization under uncertainty. A discussion of the results of numerical simulations, integrating decision-making with closed-loop dynamics of the air vehicles, for both formation flight and path planning, will conclude the course. After completing you should be able to develop an understanding of:
C.A. Rabbath is currently Defence Scientist at Defence Research and Development Canada - Valcartier. He also holds adjunct professorship positions at Concordia University and McGill University, Montreal, Canada. Dr. Rabbath received the PhD degree in 1999 from McGill University. He then worked in industry from 1999 to 2002 in control systems design, and in modeling and simulation of aerospace and robotic systems.
IEEE
Member Individual Purchase ($69.95--30 day access)
"Radar System Performance Modeling" by G. Richard Curry, Sponsored by the Aerospace and Electronic Systems Society This course addresses needs of radar system analysts, engineers, and simulation programmers for simple, yet descriptive models for evaluating radar system performance. The course provides a basic understanding of radar principles. It presents and explains equations, computational methods and data for modeling radar performance at the system level, and provides insight on how to use the models in radar system analysis. No advanced mathematics or prior radar experience is required. After completing this course you should be able to develop an understanding of:
G. Richard Curry is a consultant in radar system applications with 50 years of experience in radar system analysis and simulation, radar design and testing, military R&D planning and technology assessment, and research management.
IEEE
Member Individual Purchase ($69.95--30 day access)
"Real-Time Embedded Computing for Signal and Image Processing" by David Martinez, sponsored by the IEEE Aerospace & Electronic Systems Society This course presents an overview of the current developments in the field of embedded computing drawing from signal and image processing applications. The module reviews computing complexity drivers, implementation approaches in hardware and software, and concludes with a discussion on recent trends.
David Martinez is Associate Division Head of the Sensor Systems Division at MIT Lincoln Laboratory.
IEEE
Member Individual Purchase ($69.95--30 day access)
"Software Safety for Aerospace Applications" by Alan Tribble, sponsored by the IEEE Aerospace & Electronic Systems Society This course provides an overview of software safety as it relates to the safety of the overall computing system. In particular, learners will gain an understanding of the various software safety standards used in the aircraft industry, traditional safety analysis techniques, and current research and development efforts in the field. After completing this course you should be able to develop an understanding of:
Alan Tribble has over sixteen years of industrial experience and is currently with Rockwell Collins, Advanced Technology Center.
IEEE
Member Individual Purchase ($69.95--30 day access)
"Space-Time Adaptive Processing for Radar" by Michael L. Picciolo and Scott Goldstein, sponsored by the IEEE Aerospace and Electronic Systems Society Space-Time Adaptive Processing (STAP) is an advanced signal processing methodology for the Ground Moving Target Indication (GMTI) mode of airborne and spaceborne surveillance radar systems. It is used to mitigate motion-induced spread-Doppler clutter that interferes with the echo from ground targets. This course will develop and clearly illustrate the GMTI problem from first principles, showing the need for STAP processing. Traditional STAP processing solutions will be derived from a detection probabilistic perspective - the most pertinent metric for radar. After completing you should be able to develop an understanding of:
Dr. Picciolo is an Adaptive Signal Processing Analyst at SAIC in Chantilly, VA. He works in the areas of Space-Time Adaptive Processing (STAP) algorithms, SAR / GMTI radar, Geolocation algorithms, and Image Processing. Dr. Goldstein is a Vice President at SAIC and has over 20 years of experience in the fields of radar, sonar, communications, navigation, and imaging sensors. He has performed fundamental research and development in the technical areas that support C3I and ISR functions.
IEEE
Member Individual Purchase ($69.95--30 day access) |
