Stуphane Lafortune

Professor at University of Michigan at The College of Engineering: Integrative Systems + Design

Schools

  • The College of Engineering: Integrative Systems + Design

Expertise

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Biography

The College of Engineering: Integrative Systems + Design

Stéphane Lafortune was born in Montréal, Québec, Canada. He received the B.Eng degree from École Polytechnique de Montréal in 1980, the M.Eng degree from McGill University in 1982, and the Ph.D degree from the University of California at Berkeley in 1986, all in electrical engineering. Since September 1986, he has been with the University of Michigan, Ann Arbor, where he is a Professor of Electrical Engineering and Computer Science. In March 2018, he was appointed as the N. Harris McClamroch Collegiate Professor of Electrical Engineering and Computer Science. Lafortune is a Fellow of the IEEE (1999) and of IFAC (2017). He received the Presidential Young Investigator Award from the National Science Foundation in 1990 and the Axelby Outstanding Paper Award from the Control Systems Society of the IEEE in 1994 (for a paper co-authored with S.-L. Chung and F. Lin) and in 2001 (for a paper co-authored with G. Barrett). Lafortune's research interests are in discrete event systems and include multiple problem domains: modeling, diagnosis, control, optimization, and applications to computer and software systems. He is the lead developer of the software package UMDES and co-developer of DESUMA with L. Ricker. He co-authored, with C. Cassandras, the textbook Introduction to Discrete Event Systems (Second Edition, Springer, 2008). Lafortune is Editor-in-Chief of the Journal of Discrete Event Dynamic Systems: Theory and Applications.

Education

École Polytechnique de Montréal

B.S. Electrical Engineering 1980 McGill University

M.S. Electrical Engineering 1982 University of California at Berkeley

Ph.D. Electrical Engineering 1986

Professional Career

University of Michigan, Ann Arbor

  • Professor in the Department of Electrical Engineering and Computer Science since 1986
  • Appointed as the N. Harris McClamroch Collegiate Professor of Electrical Engineering and Computer Science (March 2018)

Visiting Positions

  • Visiting Professor at Boston University (2017-2018), Northwestern University (2010-2011), the University of Cagliari (2007 and 2011), the University of Bologna (2004), and École Polytechnique de Montréal (1993).

Elected Fellow of the International Federation of Automatic Control (IFAC) (2017)

  • For Contributions to control and diagnosis of discrete event systems

Elected Fellow of the IEEE (1999)

  • For Contributions to the theory of discrete event systems

Axelby Outstanding Paper Award from the IEEE Control Systems Society

  • 1994 - Limited Lookahead Policies in Supervisory Control of Discrete Event Systems
  • Co-authors: Sheng-Luen Chung and Feng Lin
  • 2001 - Decentralized Supervisor Control with Communicating Controllers Co-author: George Barrett Editor-in-Chief

Journal of Discrete Event Dynamic Systems: Theory and Applications (effective 1/1/2015)

Co-author to the textbook Introduction to Discrete Event Systems

Courses Recently Taught

EECS 203: Discrete Mathematics

  • Prerequisistes: MATH 115
  • Course Description: Introduction to the mathematical foundations of computer science. Topics covered include: propositional and predicate logic, set theory, function and relations, growth of functions and asymptotic notation, introduction to algorithms, elementary combinatorics and graph theory and discrete probability theory.

EECS 216: Introduction to Signals and Systems

  • Prerequisistes: EECS 215; Preceded or accompanied by MATH 216
  • Course Description: Theory and practice of signals and systems engineering in continuous and discrete time. Continuous-time linear time-invariant systems, impulse response, convolution. Fourier series, Fourier transforms, spectrum, frequency response and filtering. Sampling leading to basic digital signal processing using the discrete-time Fourier and the discrete Fourier transform. Laplace transforms, transfer functions, poles and zeros, stability. Applications of Laplace transform theory to RLC circuit analysis. Introduction to communications, control, and signal processing. Weekly recitations and hardware/Matlab software laboratories.

EECS 498: Special Topics: Introduction to Discrete-Event and Hybrid Systems

  • Prerequisites: Senior or Graduate standing
  • Course Description: This course was offered in Fall 2007 and Winter 2010.

EECS 566: Discrete Event Systems

  • Prerequisites: Graduate standing or permission of instructor
  • Course Description: Modeling, analysis, and control of discrete event systems; untimed (logical) and timed models considered. Defining characteristics of discrete event systems. Logical models: languages, automata, and Petri nets. Analysis: safety, nonblocking, state estimation, and event diagnosis. Supervisory control: controllability, nonblocking and nonconflicting languages, observability, and coobservability. Control of Petri nets using place invariants. Timed models: timed automata and timed Petri nets; timed automata with guards. Brief introduction to stochastic models.

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