Marc Bodson

SALT LAKE CITY UT 84112-9206

Office: Merrill Engineering Building, Rm 3230
Tel.: (801) 581-8590, Fax: (801) 581 5281

Special Links


Ph.D., Electrical Engineering and Computer Science, 1986, University of California, Berkeley.
   PhD thesis: Stability, Convergence, and Robustness of Adaptive Systems. Supervised by S. Sastry.
M.S., Electrical Engineering and Computer Science, 1982, Massachusetts Institute of Technology.
M.S., Aeronautics and Astronautics, 1982, Massachusetts Institute of Technology.  
  MS thesis:   Lateral Control System Design for VTOL Landing on a DD963 in High Sea States. Supervised by M. Athans.
Ingénieur Civil Mécanicien et Electricien, 1980, Université Libre de Bruxelles, Belgium.
   Thesis: Mesure des Paramètres des Machines Synchrones. Supervised by R. Poncelet and J.-C. Maun.

Professional Data

Associate Fellow of the American Institute of Aeronautics and Astronautics, 2013.
Chair of the Department of Electrical & Computer Engineering, University of Utah, July 2003 to October 2009.  Associate Chair: 1999 to 2003.
Engineering Educator of the Year award, received from the Utah Engineers Council, 2007.
Fellow of the Institute of Electrical and Electronics Engineers for “contributions to the theory of adaptive control to electromechanical and flight control systems”, 2006. 
Plenary speaker at 2006 IEEE SMC Workshop on Adaptive and Learning Systems, Logan, Utah, July 2006.
Plenary speaker at the Conférence Internationale Francophone d'Automatique, Douz, Tunisia, November 22, 2004.
Editor-in-Chief of IEEE Transactions on Control Systems Technology, 2000 to 2003. Associate Editor: 1996 to 1999.
Professor in the ECE Department at the University of Utah, 1999 to present. Associate Professor: 1994 to 1999 (tenured in 1997).
Assistant and Associate Professor in the ECE Department at Carnegie Mellon University, 1987 to 1993.
Fellow, Lady Davis Fellowship Trust, Israel, 1990. Spent 12 months at the Technion, in Haifa, Israel.
Fellow, Belgian American Educational Foundation, Belgium, 1980.

List of publicationsGoogle scholar citations

For copies of publications, check the directory of pdf files or send a request by email to

Teaching Activities

Sophomore Seminar: ECE 2910, Fall 16. Click here to view the course syllabus

Junior Seminar: ECE 3900, Spring 17. Click here to view the course syllabus

Introduction to Feedback Systems: El En 3510, Spring 03. Click here to view the course syllabus

Control of Electric Motors: ECE 5670/6670, Fall 18. Click here to view the course syllabus

Electric Generators: ECE 5671/6671, Spring 2019. Click here to view the course syllabus

Adaptive Control: ECE 6570, Spring 14. Click here to view the course syllabus

Research Interests

Modeling, identification and control, with an emphasis on adaptive control. Applications to aerospace and electromechanical systems. Current projects include:

  • Hybrid electric propulsion for aircraft

  • Hybrid electric propulsion solutions are being evaluated for future aircraft. Electric propulsion would enable new airplane configurations, possibly increasing efficiency and reducing noise and pollution. Our research considers the control problem for a motor/generator set as shown on the picture to the left. Both the generator and the motor are assumed to be doubly-fed induction machines with a direct AC connection between their stators. The rotors are controlled by three-phase converters, so that operation is possible with motor and generator speeds that are independent of each other, and independent of the electrical frequency of the stator voltages.

  • Control of electric motors and generators
  • The general objective is to maximize the performance of electric motor and generator drives using nonlinear and adaptive control techniques. A current project is focussed on induction generators, which are often found in renewable energy applications such as wind and hydroelectric sources. New results have been obtained regarding the operation of self-excited induction generators that operate off-grid. We are also studying nonlinear control methods for doubly-fed induction generators, which are typically used in wind farms, and squirrel-cage induction generators. On the left is a picture of a wind farm at the mouth of Spanish Fork, South of Salt Lake City.

  • Flight control systems
  • Earlier research has developed reconfigurable flight control laws that automatically adjust their strategy after failures or damages (see, for example, the results of our flight tests). Recent research produces algorithms that optimize the use of multiple, redundant control surfaces (the so-called control allocation problem). In the example of the C-17 aircraft shown on the left, there are 16 control surfaces that can, potentially, be controlled independently.

    Previous project:
  • Adaptive algorithms for active noise and vibration control
    The objective is to develop methods for the cancellation of noise using speakers. The emphasis is on multi-channel systems and periodic noise sources of unknown frequency. The picture on the left shows an application to a propeller aircraft, where microphones are shown in green and speakers in red. Research is aimed at developing algorithms that can adapt to changes in the properties of propagation of sound from the speakers to the microphones.

  • This web site is maintained by Professor Marc Bodson, of the Department of Electrical and Computer Engineering at the University of Utah. Please see the University of Utah Web disclaimer. For questions or comments, please send an e-mail to

    Last updated: Nov 4, 2018.