Career
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Career
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<big> '''Axelby Outstanding Paper Award from the IEEE Control Systems Society'''</big> | <big> '''Axelby Outstanding Paper Award from the IEEE Control Systems Society'''</big> | ||
:'''1994''' - [http://scholar.google.com/citations?view_op=view_citation&hl=en&user=5wgTi1AAAAAJ&citation_for_view=5wgTi1AAAAAJ:7wO8s98CvbsC Limited Lookahead Policies in Supervisory Control of Discrete Event Systems] | :'''1994''' - [http://scholar.google.com/citations?view_op=view_citation&hl=en&user=5wgTi1AAAAAJ&citation_for_view=5wgTi1AAAAAJ:7wO8s98CvbsC Limited Lookahead Policies in Supervisory Control of Discrete Event Systems] | ||
− | ::Co-authors: Sheng-Luen Chung | + | ::Co-authors: [http://140.118.107.57/profile-en.php?tid=6710 Sheng-Luen Chung] and [http://ece.eng.wayne.edu/~flin/ Feng Lin] |
:'''2001''' - [http://scholar.google.com/citations?view_op=view_citation&hl=en&user=5wgTi1AAAAAJ&citation_for_view=5wgTi1AAAAAJ:WC23djZS0W4C Decentralized Supervisor Control with Communicating Controllers] | :'''2001''' - [http://scholar.google.com/citations?view_op=view_citation&hl=en&user=5wgTi1AAAAAJ&citation_for_view=5wgTi1AAAAAJ:WC23djZS0W4C Decentralized Supervisor Control with Communicating Controllers] |
Revision as of 19:08, October 18, 2014
Stéphane Lafortune | Contact Information | Career | Research | Publications | Related Links
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
Visiting Positions
- Visiting Professor at 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 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 216: Introduction to Signal 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.
- EECS 216: Introduction to Signal and Systems