|
|
|
Biographical Information:
Constantino Lagoa got his B.S. and M.Sc. degrees from the Instituto Superior
Tecnico, Technical University of Lisbon, Portugal in 1991 and 1994 respectively
and his Ph. D. degree from the University of Wisconsin at Madison in 1998.
He joined the Electrical Engineering Department of the Pennsylvania State
University in August 1998, where he currently holds the position of Associate
Professor. He has a wide range of research interests including robust
control, controller design under risk specifications, control of computer
networks and discrete event dynamical systems. In 2000, he received the
NSF CAREER award for his proposal on system design under risk constraints.
Main Research Interests:
- Probabilistic Robustness
The main goal of this research is to provide a framework for controller
design that will lead to a meaningful incorporation of risk in the
design process. This not only enables one to systematically address
control problems involving risk specifications, but, for those systems
that are encompassed by existing frameworks, it also leads to much
simpler controllers, easier to implement and less expensive. Furthermore,
their performance is, in practical terms, indistinguishable from control
systems obtained using traditional methods.
- Control of Computer Networks
Dr. Lagoa is also interested in the application of nonlinear control
theory to computer networks. In particular, he is interested in the
development of decentralized controllers for traffic engineering in
computer networks, when multiple paths are available and multiple
levels of service are to be offered. In other words, we aim at providing
procedures for traffic distribution that will lead to an efficient
utilization of the network resources. Moreover, we aim at providing
different classes of service; i.e., implement traffic allocation algorithms
that take into account the priority of the requests for network access.
- Discrete Event Dynamical Systems
The objective is to develop systematic procedures for controller
design for discrete event dynamical systems; i.e., systems that
can be modeled by a finite state automaton. Examples of such systems
are supervisory control systems and computer network protocols.
This research effort involves the development of meaningful performance
measures for discrete event dynamical systems and the development
of fast algorithms for controller design.
|
