June 4 to 6, 2003
The Adams Mark Hotel,
Denver, Colorado USA
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Wednesday, June 4, 8:00-9:00 am - Grand Ballroom |
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| This talk will provide a summary of the theoretical,
experimental, and educational activities at Cornell University aimed
at understanding how to design and control multi-vehicle systems.
The theoretical developments include new tools, based on semi-definite
programming, for designing robust networked control systems. The computational
complexity of these tools is dictated by the underlying interconnection
topology, and thus great computational savings can be achieved when
considering interconnection graphs with regular or sparse structures.
Several multi-vehicle test-beds, both ground and air based, will be
presented and put in context with the theory being developed. These
multi-vehicle test-beds have been constructed by a revolving team
of approximately 30 undergraduate and master of engineering students,
with equal representation from computer science, electrical engineering
and mechanical engineering, as part of the Systems Engineering initiative
at Cornell University. The talk will include various video footage
of the test-beds in action, including media coverage of the three-time
world champion Cornell Robot Soccer team. |
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| Raffaello D' Andrea received the B.Sc. degree in Engineering
Science from the University of Toronto in 1991,and the M.S. and Ph.D.
degrees in Electrical Engineering from the California Institute of
Technology in 1992 and 1997,respectively.Since then, he has been with
the Department of Mechanical and Aerospace Engineering at Cornell
University, where he is an Associate Professor. |
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| He is also a member of the Applied Mathematics, Electrical and Computer Engineering, and Theoretical and Applied Mechanics fields at Cornell. His research interests include the development and application of tools for controlling large scale systems. His teaching interests include Systems Engineering and Robot Soccer. Dr .D' Andrea has been a recipient of the University of Toronto W.S. Wilson Medal in Engineering Science, the 1996 IEEE Conference on Decision and Control best student paper award, the American Control Council O.Hugo Schuck Best Paper award (with Fernando Paganini and John Doyle), a National Science Foundation Career Award, a Department of Defense sponsored Presidential Early Career Award for Scientists and Engineers (PECASE)for ¡¨theoretical and experimental advances in the robust control of feedback systems ¡¨,and was a Distinguished Lecturer in the NSF Research Highlight Series. He was the system architect and faculty advisor of the world champion Cornell Autonomous Robot Soccer team in 1999 (Stockholm,Sweden), 2000 (Melbourne, Australia),and 2002 (Fukuoka, Japan),and third place winner in 2001 (Seattle, USA).His appearances with the Cornell Robo Cup team include the Lemelson Center at the Smithsonian, Scientific American Frontiers on PBS, and the Tech Museum of Innovation in San Jose. His recent collaboration with Canadian artist Max Dean The Table, an interactive installation, appeared in the Biennale di Venezia in 2001,and is on exhibit at the National Gallery of Canada. | |||
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Challenges and Opportunities in Control of Automotive
Powertrain Systems |
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Thursday, June 5, 8:00-9:00 am - Grand Ballroom |
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| Much of present excitement in the automotive industry
is generated by the development and introduction of a vast array of
new, advanced powertrain technologies into the production vehicles.
These technologies provide significant opportunities for fuel economy
and drivability improvements as well as for emission reduction.It
is widely recognized that these technologies are becoming feasible
thanks,in great part,to the advancements in electronic powertrain
control. After reviewing the main elements of powertrain control system
development and implementation process,the presentation will describe
some of the new technologies and challenges that they pose for control
system development and calibration. Opportunities for the application
of advanced control techniques and the needs for their further development
to deal with complex powertrain systems will be highlighted. |
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| Ilya V. Kolmanovsky has studied as an undergraduate at Moscow Aviation
Institute in Russia. He received his Ph.D. degree in Aerospace Engineering
in 1995 from the University of Michigan in Ann Arbor. In 1996 Dr.
Kolmanovsky joined Ford Research Laboratory of Ford Motor Company
in Dearborn, Michigan as a Technical Specialist. |
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| At Ford he has been conducting research on control,
modeling and systems development of advanced technology automotive
gasoline and diesel powertrains, and is presently a Staff Technical
Specialist and a Project Leader. Dr. Kolmanovsky has also made contributions
in the areas of nonlinear control, control of systems with pointwise-in-time
constraints, and control of systems with complex dynamics, including
switching systems, stochastic systems, systems with delays and systems
governed by partial differential equations. Dr. Kolmanovsky has published
over a hundred of conference and journal articles in the areas of
control theory, automotive control and control systems technology.
He holds twenty-seven U.S. patents. Dr. Kolmanovsky has served in
the past as an Associate Editor of IEEE Control Systems Society Conference
Editorial Board and was a program committee member of several American
Control Conferences. e is presently serving as an Associate Editor
of IEEE Transactions on Control Systems Technology. Dr. Kolmanovsky
was a recipient of 2002 Donald P. Eckman award and of 2002 IEEE Transactions
on Control Systems Technology outstanding paper award. |
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Towards Automating the Scientific Method: Micro- and Nano- Robotic InstrumentationIan Hunter, MIT |
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Friday, June 6, 8:00-9:00 am - Grand Ballroom |
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| There are now many areas of science in which massively
parallel approaches to experimentation are becoming common. For example
pharmaceutical companies are using ultra-high throughput experimentation
to screen their million-compound libraries in the search for new drugs.
Similar approaches are being taken in the search for new materials
having unusual blends of desired material properties (e.g., very high
thermal conductivity, very low electrical conductivity and low Young
's modulus).In this talk I will overview a number of projects underway
in my laboratories in which we are developing miniaturized scientific
instruments for the purpose of using large numbers of them to undertake
multiple experiments in parallel. I will include discussion of the
Living Chip project, our Nano-Walker project (nano-walking scientific
instruments),our massively parallel DNA mutational spectrometer project,
our micro-mechanical testing project and our work on high throughput
techniques for conducting polymer synthesis and testing. In all of
these projects we implement a very close coupling between our mathematical
models (which may be molecular, continuum or lumped parameter), our
nano-and micro-scale instrumentation and our experimentation, which
makes extensive use of nonlinear system identification techniques.
In the control of our micro-systems we make extensive use of nonlinear
system identification techniques to characterize their dynamic behavior.
These dynamic models are then used in model-based controllers supplemented
with minimal feedback control. An overall goal in these projects is
to close the loop between model-based experimental design, experimentation
and model building to the point where the scientific discovery process
itself is automated. |
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| Professor Ian Hunter is the Hatsopoulos Professor at MIT in the
Department of Mechanical Engineering and is also a Professor of Biological
Engineering in the new MIT Division of Biological Engineering. Professor
Hunter runs the Bioinstrumentation Lab at MIT and is also the Co-Director
of the MIT Brit and Alex d 'Arbelo Laboratory for Information Systems
and Technology. |
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| He has over 250-refereed publications and over 40 issued and pending patents. Professor Hunter 's interests in science and technology started at an early age. His first paper (published nearly 40 years ago when he was 10) was on the design of a simple transistor radio built within a small soapbox. By age 12 he had instrumented a microscope to measure the electrical potentials generated by muscles in sub-millimeter sized water fleas. By age 13 he had built from scratch a complete gas chromatograph (hydrogen flame ionizing potential detector type) for chemical composition analysis. This combined interest in miniaturization, instrumentation and biology has continued to the present. | |||
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