David Mudgett | College of Information Sciences and Technology
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David Mudgett

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David Mudgett
  • Senior Lecturer of Information Sciences and Technology

330A Information Sciences and Technology Building
University Park, PA 16802
(814) 865-6173
  • Ph.D., Electrical Engineering, Yale University

  • M.S., Computer Science and Engineering, Penn State University (ABD)

  • M.S., Electrical Engineering, University of Massachusetts, Amherst

  • B.A., Physics, Antioch College


Prior to graduate work, Mudgett worked at Chrysler Corporation in operations research and supply-chain management. After completing his doctoral studies, Mudgett taught electrical engineering at Penn State, working primarily in control systems and signal processing.

Research Interests:

Mudgett is currently studying adaptive job scheduling and load balancing algorithms for multiprocessor systems. He is interested in applying ideas from systems analysis, control, signal processing, and computer science to computer and information systems, human systems, or other large-scale systems that are loosely structured or imprecisely modeled. Mudgett teaches applied mathematics, programming languages, and system design at IST. He has also taught analog and digital control systems, adaptive control, learning systems, linear and nonlinear system theory, optimal control, probability and statistical communication theory, signals and systems, and electric circuit theory.


P. Unnikrishnan, G. Chen, M. T. Kandemir, D. R. Mudgett, “Dynamic compilation for energy adaptation,” Proc. 2002 International Conference on Computer-Aided Design, San Jose, CA, November, 2002.

A. Freed, F. Ritter, D.R. Mudgett, "Web-Based Resources for Teaching Discrete Mathematics to Students of Information Sciences and Technology," IEEE Learning Technology Newsletter, July 2002.

Ghaya, S. and D.R. Mudgett, "Modeling of automobile dynamics for digital control of vehicle platoons, " Proc. 1994 American Control Conference, Baltimore, MD, June 1994.

Mudgett, D.R. and L. Wang, "Transient response control in adaptive control without exact high frequency gain knowledge or error augmentation, " Proc. 1994 American Control Conference, Baltimore, MD, June 1994.

Helferty, J.P. and D.R. Mudgett, "Optimal observer trajectories for bearings-only tracking by minimizing the trace of the Cramer-Rao lower bound, " Proc. 1993 Conference on Decision and Control, San Antonio, TX, December, 1993.

Mudgett, D.R. and A.S. Morse, "An advanced example of continuous-time model reference adaptive control, " Journal of Adaptive Control and Signal Processing, July, 1991.

Mudgett, D.R. and A.S. Morse, "A high-gain adaptive stabilizer for linear systems with known relative degree, " Advances in Adaptive Control, IEEE Press, K.S. Narendra et al., editors, Piscataway, NJ, 1991.

Mudgett, D.R. and A.S. Morse, "High order parameter adjustment laws for adaptive stabilization, " Proc. 1987 Conference on Information Sciences and Systems, Johns Hopkins University, Baltimore, MD, March 1987.

Mudgett, D.R. and A.S. Morse, "Adaptive stabilization of a discrete linear system with an unknown high-frequency gain,” IEEE Transactions on Automatic Control, Vol. AC-30, pp 798-799, August, 1985.

Mudgett, D.R. and A.S. Morse, "Adaptive stabilization of linear systems with unknown high-frequency gains,” IEEE Transactions on Automatic Control, Vol. AC-30, pp. 549-554, June 1985.