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Each workshop runs from 8:30
AM to 5:30 PM (0830 to 1730) except the half-day workshop
which runs from 1:30 PM to 5:30 PM (1330 to 1730).
Certificates for Continuing
Education Units (CEU) earned in the workshops are available at $15.00 per
workshop regardless of duration (two-day, one-day, or half-day). Units are calculated based on 1 CEU for each
10 hours of class time
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Two day workshops = 1.8 CEU
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One day workshops = 0.9 CEU
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Half day workshops = 0.45 CEU
Use the table below to navigate within this page.
Two day workshops:
Dennis S.
Bernstein,
University of Michigan
Carl R. Knospe,
University of
Virginia
This course provides a bridge
between recent developments in control theory and their practical application in
the laboratory and industry. Beginning with an overview of fundamental
tradeoffs and issues that affect control-system performance, the course
systematically covers topics in linear and nonlinear modeling, linear and
nonlinear controller synthesis, and robust and adaptive tuning. Controller
implementation issues such as saturation, quantization, and state constraints
are also discussed. The theoretical foundation of each topic are reviewed along
with a discussion of practical ramifications and limitations. The course is
suitable for students, instructors, and researchers who wish to obtain a broad
perspective of the control engineering enterprise as well as control engineers
from all industrial applications seeking a coherent, self-contained overview of
recent developments relevant to control practice.
Workshop outline
1-Day or 2-Day Workshop:
Recent Advances in Subspace System Identification:
Linear Systems (Day 1), Nonlinear Systems (Day 2)
(back to
Workshops Table)
W.E.
Larimore, Adaptics
D. E. Seborg, University of California at Santa
Barbara
This workshop presents a first
principles development of subspace system identification (ID) for linear,
nonlinear, and closed-loop systems using the maximum likelihood method. This
gives optimal parameter estimates and likelihood ratio tests of hypotheses on
model order/structure and tight Cramer-Rao accuracy bounds. These new results
along with the superior computational properties of subspace ID greatly extend
the potential applications. Examples discussed include closed-loop linear and
nonlinear systems for monitoring, fault detection, control design, and robust
and adaptive control. No prior knowledge of the subject is assumed.
Workshop outline
Robust and Adaptive Control Workshop (2-day) (back
to Workshops Table)
Kevin A Wise, Boeing
Phantom Works
Eugene Lavretsky, Boeing
Phantom Works
Presents modern robust control theory, applications,
lessons learned, and recent/new advances in adaptive/reconfigurable flight
control theory and application. An overview of the Lyapunov stability theory,
followed by an introduction to adaptive control using neural networks is
presented. Aerospace applications include the HAVE SLICK air-to-surface missile,
JDAM, the X-36 tailless fighter, and the X-45A UCAV. The workshop covers in
detail the control design and analysis methods used on the X-45A UCAV, and the
neural adaptive control laws with new extensions from the USAF RESTORE program
(flown on X-36, JDAM, and Laser-JDAM).
Workshop outline
One day workshops:
Control Applications for Power Generation: A Tutorial, Some Advanced Topics and
Many Open Problems
(back to Workshops Table)
(CANCELLED)
Corneliu Barbu,
Fernando D’Amato, General Electric,
Global Research Center
All complex power production applications nowadays, from
gas and steam turbines, to wind turbines, to integrated gasification combined
cycle, require some degree of closed-loop control, for stability and
performance. In power generation applications, model-based control design
methods have to address typical problems associated with complex applications
such as large order models and actuator nonlinearities, but also specific issues
- dynamic nonlinearities, mode coupling or limitations due to conflicting
control objectives. In this workshop we present both a tutorial and a set of
open control problems in two such applications: a wind turbine control problem
and the control of thermoelastic systems. The presentation will point out why
certain problems are hard and what are the current design limitations, will
introduce benchmark examples to motivate the search for new control design
methods, and will also review control validation methods using high-fidelity
simulators and implementation concerns.
Workshop outline
Organizers:
Anna Stephanopolou, University of Michigan
Jing Sun, University of Michigan
Presenters:
Anna Stephanopolou, University of Michigan
Jing Sun, University of Michigan
Subbarao Varionda, United Technology Research Center
Lino Guzzella, ETH Zurich
Ian Hiskens, University of Wisconsin
Fuel cell systems, as alternatives to conventional power systems, present a wide
range of challenging problems for control and system optimization. Recent
research activities in fuel cell system modeling, dynamic analysis, control
design and analysis, and optimization have led to new insights and improved
design tools. This workshop presents an overview of the recent developments in
this important technical area. Fundamentals will be reviewed, frontiers will be
explored, and methodologies and tools will be discussed. Control-oriented models
for fuel cells and their associated enabling technologies, such as the fuel
processing system and power electronics, will be covered. Optimization for fuel
cell vehicles and fuel cell based distributed power systems and combined heat
power systems will be discussed. Research needs and open problems will be
highlighted.
Workshop outline
Dynamic Inversion Tutorial - Theory and Example Applications
(back to Workshops Table)
Dale Enns,
Honeywell Labs, Minneapolis,
Minnesota
George Papageorgiou, Honeywell
Labs, Minneapolis, Minnesota
Dynamic inversion is an attractive
methodology for controls development since it applies to nonlinear systems, has
much in common with classical controls, and is suitable for practical systems
implementation. This workshop will present the method in general terms of
additive and multiplicative inverse. Stability results and zero dynamics will be
discussed. We will discuss how a special plant model is used in place of
traditional gain scheduling. Different approaches to control allocation will be
discussed which is used for the multiplicative inverse and deals with
constrained actuator position and rate limits as well as redundant controls. The
workshop will spend nearly half of the time on three detailed examples to
illustrate different aspects of the methodology. One example will highlight the
application to unstable systems, another example will illustrate decoupling of a
multivariable system, and the final example will illustrate the use of nested
inner to outer loops to control the trajectory of a vehicle. The presenters have
significant experience in industrial application of dynamic inversion
methodology, related theoretical developments, and are also experienced with
education and technology transfer.
Workshop outline
Stochastic Search and Optimization
(back to Workshops Table)
James
Spall, The Johns
Hopkins University, Applied Physics Lab
Stacy Hill, The Johns Hopkins University,
Applied Physics Lab
This workshop will review search and
optimization algorithms and analysis techniques that are widely used in the
control systems community. The emphasis will be on general principles,
comparative analysis of algorithm performance, and issues relevant to practical
implementation. Participants will be directed to the textbook or other
appropriate literature for details associated with the implementation and/or the
underlying theory.
This workshop is an introduction
to stochastic search and optimization, as oriented to systems and control
problems. Stochastic search and optimization plays an increasing role in the
analysis and control of modern systems as a way of coping with inherent system
noise and with providing algorithms that are relatively insensitive to modeling
uncertainty. Methods for stochastic search and optimization are used throughout
virtually all aspects of control theory and practice. To name a few areas, these
include: decision aiding, system identification, flight control for aircraft,
simulation-based optimization for discrete-event systems, performance analysis
of communication networks, control and scheduling of complex manufacturing
processes, and computer-based personnel training.
This workshop introduces the
fundamental issues in stochastic search and optimization with special emphasis
on cases where classical deterministic techniques (linear and nonlinear
programming, etc.) do not apply. These cases include many important practical
problems, which will be discussed throughout the course (e.g., neural network
training, simulation-based optimization, target tracking, nonlinear control,
image processing, discrete-event systems, experimental design, etc.).
Workshop
outline
Fred Hansen,
R. T. Consulting
Rick Ehrlich,
Toshiba
As is the case for most control system
applications, the area of HDD (Hard-Disk-Drive)
servo control involves a broad range of technologies beyond pure control theory.
A successful HDD servo engineer must understand issues associated with the
sensors, the mechanical system being controlled, details of the disturbance
environment, and the limitations of finite computation resources, in addition to
being able to “stabilize a loop”. The instructors will give a broad overview of
the current state of disk-drive servo technology. They will start with a brief
review of the basic technologies involved in HDDs, to show the constraints that
the rest of the system place upon the servo. Next, they will present more
detailed information about the mechanical system, the position-sensing system,
and actuator-drivers. Finally, they’ll put together an example state-space
controller for a fictional (but typical) HDD servo-loop. The session will end
with a discussion of the current challenges faced by HDD servo engineers.
Workshop on Modeling and Analysis of Biological Regulatory Networks
(back to Workshops Table)
Francis J. Doyle, III,
University of California at Santa Barbara
Michael A. Henson, University of Massachussetts Amherst
Systems biology
has emerged as a prominent new field that provides a much-needed interface
between the life sciences and quantitative disciplines including engineering and
mathematics. The novelty of systems biology lies in the emphasis on analyzing
complexity in networked biological systems using integrative rather than
reductionist approaches. The aim of this workshop is to provide an introduction
to a particular domain of systems biology to which classically trained control
engineers have made substantial contributions: the modeling and analysis of
cellular regulatory networks. The necessary biological background will be
introduced by reviewing basic concepts of genetic and metabolic regulation as
well as cellular signaling. Examples ranging from the generation of circadian
rhythms to the regulation of energy metabolism will be used to illustrate
modeling and analysis methods.
Workshop
outline
Organizers:
Datta
Godbole, Honeywell Labs
Tariq
Samad, Honeywell Labs
Presenters:
George Pappas, University of Pennsylvania
John
Bay, DARPA
David
Musliner, Honeywell Labs
Siva
Banda, Air Force Research Laboratory
Shankar Sastry, University of California – Berkeley
George Vachtsevanos, Georgia Tech
Clair
Tomlin, Stanford University
Dale
Enns, Honeywell Labs
Francesco Borrelli, Carnegie Mellon University
Sanjeev Singh, Carnegie Mellon University
Mar
Steinberg, Navair (invited)
This workshop will highlight recent
advances in the coordination and control of unmanned aerial vehicles (UAVs) with
specific reference to military operations in urban terrain (MOUT). Applications
to MOUT are a relatively new driving force for defense-related R&D in UAVs. We
have brought together a diverse group of speakers, representing industry,
government, and academe, all of whom have been at the forefront of research in
UAVs for urban applications. The speakers will review recent research results,
present new UAV designs and multi-UAV developments, and discuss complexities
associated with reconnaissance, surveillance, tracking, and other operations in
densely populated cities. Technical topics we will cover include control
design for unconventional small UAVs; UAVs as network-centric platforms,
planning algorithms for multi-UAV urban missions; route optimization in
obstacle-rich environments, and communication-constrained coordination
algorithms.
Workshop
outline
Miroslav Krstic,
University of California, San Diego
Kartik Ariyur, Honeywell Aerospace Electronic
Systems
Andrzej Banaszuk, United Technologies Research
Center
Mario Rotea, Purdue University
Eugenio Schuster,
Lehigh University
Extremum seeking control, a popular tool in control applications in the
1940-50's, has seen a resurgence in popularity as a real time optimization tool
in aerospace and automotive engineering. Extremum seeking is a non-model based
method of adaptive control, and, as such, it solves, in a rigorous and practical
way, some of the same problems as intelligent control techniques. This workshop
will present the theoretical foundations and selected applications of extremum
seeking. The first half of the workshop will teach the attendees the extremum
seeking algorithms, the basics of their stability analysis, and the design
guidelines. Both single-parameter and multivariable problems will be covered, as
well as both the continuous and discrete time implementations. A novel "slope
seeking" extension applicable to some unstable plants will be introduced. An
application of extremum seeking to minimizing limit cycles caused by actuator
limitation will be presented. In the second half of the workshop, applications
to aerospace and propulsion problems (formation flight, combustion
instabilities, flow control, compressor rotating stall, thermoacoustic coolers,
autonomous vehicles), automotive problems (anti-lock braking, engine mapping),
bioreactors, and charged particle accelerators will be presented.
Diagnostics, Prognostics, and Health Management (DPHM): from theory to practice
(back to Workshops Table)
(CANCELLED)
Organizer:
Dr. Eirc van Doorn,
Intelligent Automation, Inc.
Dr. Dev Tolani, Intelligent Automation, Inc.
Presenters:
Dr. Eirc van
Doorn, Intelligent Automation, Inc.
Dr. Dev Tolani, Intelligent Automation, Inc.
Dr. Ravi Patankar, Intelligent Automation, Inc.
Dr. Asok Ray, Pennsylvania State Univeristy
Dr. Sharaya Tulpule, Pratt and Whitney
Dr. Kallappa Pattada, Impact Technologies
This workshop will focus on current state of the art in
Diagnostics, Prognostics, and Health Management (DPHM) and the
application of these ideas to a wide variety of industries (both in scope and
size) and academia. The proposed workshop will last for day and will be
represented by participants from three companies actively involved in this area:
Intelligent Automation Inc (IAI), Impact Technologies and United Technologies
(UTC). The recent theoretical advances will be covered by Dr Asok Ray who is
a Distinguished Professor of Mechanical Engineering at PennState.
Workshop outline
Micro- and Nanoscale Robotics
(back to Workshops Table)
(CANCELLED)
Metin Sitti, Carnegie
Mellon University
For the miniaturization of devices and machines down to
atomic and molecular sizes, micro/nanorobotic approach enabling precision
manipulation, manufacturing, and interaction at the micro- and nanoscales is
indispensable. Micro/Nanorobotics as an emerging field is based on the micro/nanoscale
physics, fabrication, sensing, actuation, system integration, and control taking
the scaling effects into consideration. Micro/Nanorobotics encompasses: (i)
design and fabrication of micro/nanorobots with overall dimensions at the
millimeter and micrometer ranges and made of micro/nanoscopic components; (ii)
programming and coordination of large numbers of micro/nanorobots; and (iii)
programmable assembly of micro/nanoscale components. This tutorial will focus on
state-of-the-art micro/nanorobotics research topics, challenges, and activities
around the world and at the NanoRobotics Laboratory.
As the first focus area, precision nanomanipulation systems
using Atomic Force Microscope (AFM) probes will be introduced. Here, AFM probes
are utilized as a pushing, pulling, cutting, and indenting type of
nanomanipulator, and also as a three-dimensional (3-D) topography and force
sensor. As the first application, using an AFM probe and a teleoperated
human-machine interface, fine gold particles down to 14nm radius are positioned
in two-dimension by mechanical pushing for developing micro/nanoassembly
technology, and teleoperated touch feedback from the surfaces at the nanoscale
is realized. Next, liquid polymers are pulled and solidified precisely by an
AFM probe to manufacture customized 3-D polymer micro/nanofibers. Next, design
methodology, analysis, and fabrication of biomimetic fibrillar adhesives
inspired by geckos are explained. Geckos have unique dry adhesive fibers in
their feet to climb any surface with a very high maneuverability. Discovering
the principles of gecko adhesion recently, synthetic polymer micro/nanofibers
are fabricated using micro/nanomolding techniques. The results of current
prototype adhesive fibers and miniature climbing robots inspired by geckos are
reported. Finally, miniaturization issues of micro/nanorobots are discussed. As
current miniature robotics activities, biomedical swimming and endoscopic
capsule microrobots, water strider robots walking on water, and Integrated Nano-Tool
Carrier walking robots are explained briefly, and challenging issues are
addressed. These miniature robots could revolutionize health-care,
environmental monitoring, manufacturing, and space exploration applications in
the future.
Workshop outline
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