Page 12 - ASME DSCC 2017 Program

Plenary Sessions
THURSDAY, OCTOBER 12TH • 6:30PM – 9:30PM
FAIRFAX BALLROOM B
Miroslav Krstic
University of California San Diego
RUFUS OLDENBURGER LECTURE
“Traffic Congestion Control: A PDE Backstepping Perspective”
Award: The Rufus Oldenburger Medal is a prestigious Society award for
lifetime achievements in automatic control. Inaugurated in 1968, the medal
recognizes significant contributions and outstanding achievements in the
field of automatic control. Such achievements may be, for example, in the
areas of education, research, development, innovation, and service to the
field and profession.
The award was established to honor Rufus Oldenburger for his distinctive
achievements in the field and for his service to the Society and the
Division. The list of recipients is a true honor role of major contributors to
the science and profession of control.
Abstract: Control of freeway traffic using ramp metering is a “boundary
control” problem when modeling is approached using widely adopted
coupled hyperbolic PDE models of the Aw-Rascle-Zhang type, which
include the velocity and density states, and which incorporate a model of
driver reaction time. Unlike the “free traffic” regime, in which ramp
metering can affect only the dynamics downstream of the ramp, in the
“congested traffic” regime ramp metering can be used to suppress
stop-and-go oscillations both downstream and upstream of the ramp
- though not both simultaneously. Controlling the traffic upstream of a ramp
is harder - and more interesting - because, unlike in free traffic, the control
input doesn’t propagate at the speed of the vehicles but at a slower
speed, which depends on a weighted difference between the vehicle
speed and the traffic density. I will show how PDE backstepping
controllers, which have been effective recently in oil drilling and
production applications (similarly modeled by coupled hyperbolic PDEs),
can help stabilize traffic, even in the absence of distributed measurements
of vehicle speed and density, and when driver reaction times are
unknown.
Biography: Miroslav Krstic is Distinguished Professor of Mechanical and
Aerospace Engineering, holds the Alspach endowed chair, and is the
founding director of the Cymer Center for Control Systems and Dynamics Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT.
at UC San Diego. He also serves as Sr. Assoc. Vice Chancellor for
Research at UCSD. As a graduate student, Krstic won the UC Santa
Barbara best dissertation award and student best paper awards at CDC
and ACC. Krstic is Fellow of IEEE, IFAC, ASME, SIAM, and IET (UK),
Associate Fellow of AIAA, and foreign member of the Academy of
Engineering of Serbia. He has received ASME Oldenburger Medal, ASME and of the American Academy of Arts and Sciences. She is the recipient of
Nyquist Lecture Prize, ASME Paynter Outstanding Investigator Award, the the 2017 Engelberger Robotics Award from the Robotics Industries
PECASE, NSF Career, and ONR Young Investigator awards, the Axelby
and Schuck paper prizes, the Chestnut textbook prize, and the first UCSD University. Prior to joining MIT, Rus was a professor in the Computer
12 Research Award given to an engineer. Krstic has also been awarded the
Springer Visiting Professorship at UC Berkeley, the Distinguished Visiting
Fellowship of the Royal Academy of Engineering, the Invitation Fellowship
of the Japan Society for the Promotion of Science, and honorary
professorships from four universities in China. He serves as Senior Editor
in IEEE Transactions on Automatic Control and Automatica, as editor of
two Springer book series, and has served as Vice President for Technical
Activities of the IEEE Control Systems Society and as chair of the IEEE CSS
Fellow Committee. Krstic has coauthored twelve books on adaptive,
nonlinear, and stochastic control, extremum seeking, control of PDE
systems including turbulent flows, and control of delay systems.
FRIDAY, OCTOBER 13TH • 8:30AM – 9:30AM
FAIRFAX BALLROOM A
Daniela Rus
MIT
NYQUIST LECTURE
“The Robots Are Coming. Spotlight on Autonomous Vehicles”
Abstract: The digitization of practically everything coupled with the
mobile Internet, the automation of knowledge work, and advanced
robotics promises a future with democratized use of machines and
wide-spread use of robots and customization. However, pervasive use of
robots remains a hard problem. Where are the gaps that we need to
address in order to advance toward a future where robots are common in
the world and they help reliably with physical tasks? What is the role of
computation along this trajectory? In this talk I will discuss challenges and
opportunities toward pervasive use of robots. I will use transportation as a
case study. Self-driving cars have the potential to increase the safety and
efficiency of our transportation systems, enhance the driving experience,
provide members of retirement communities with greater independence,
and give all of us the ability to go anywhere anytime. I will focus on
autonomous cars and mobility on demand with self-driving cars.
Specifically, I will talk about the state of the art in perception, planning,
coordination, and mobility on demand, and present results from extensive
experiments with autonomous vehicles developed over the past 7 years. I
will also address some of the technological challenges and policy
challenges ahead.
Biography: Daniela Rus is the Andrew (1956) and Erna Viterbi Professor of
Electrical Engineering and Computer Science and Director of the
She serves as the Director of the Toyota-CSAIL Joint Research Center and
is a member of the science advisory board of the Toyota Research
Institute. Rus’ research interests are in robotics, mobile computing, and
data science. Rus is a Class of 2002 MacArthur Fellow, a fellow of ACM,
AAAI and IEEE, and a member of the National Academy of Engineering
Association. She earned her PhD in Computer Science from Cornell
Science Department at Dartmouth College.