Dr. Gregory L. Plett
Dr. Plett received his B.Eng. degree in Computer Systems Engineering from Carleton University (Ottawa, Canada) in 1990, and his M.S.E.E. and Ph.D. degrees in Electrical Engineering from Stanford University (Stanford, CA) in 1992 and 1998, respectively. He joined the faculty of the University of Colorado at Colorado Springs (UCCS) in the Fall semester of 1998.
He has taught courses at Stanford University, Universidad Nacional Autónoma de México, and UCCS; has published papers in Wiley, Elsevior, and IEEE journals and a number of conferences; has successfully competed for internal UCCS grants and nationally with the NSF, and is joint holder of seven patents. He is a senior member of the IEEE.
Dr. Plett's research areas include: Linear and nonlinear adaptive filtering; dynamic system modeling, state estimation and control. Some applications include the technology Adaptive Inverse Control, sensor fusion for target tracking, and modeling and estimation requirements for proper battery management of advanced battery technologies (e.g., for hybrid and electric vehicle systems).
- Plett, G., DeLima, P., and Pack, D.J., "Target Localization using Multiple UAVs with Sensor Fusion via Sigma-Point Kalman Filtering," in CD-ROM Proc. AIAA Convergence 2007, Rohnert Park, CA (May 2007), 15 pages.
- Plett, G., Zarzhitsky, D., and Pack, D.J., "Out-of-Order Sigma-Point Kalman Filtering for Target Localization using Cooperating Unmanned Aerial Vehicles," Hirsch, M.J., Pardalos, P.M., Murphey, R., and Grundel, D. (eds), Advances in Cooperative Control and Optimization, Springer (Lecture Notes in Control and Information Sciences), 2007, [ISBN: 978-3-540-74354-5].
- Plett, G., "Sigma-Point Kalman Filters for Battery Management Systems of LiPB-Based HEV Battery Packs-Part 1: Introduction and State Estimation," Journal of Power Sources, Vol. 152, No. 2, October 2006, pp. 1356-68.
- Plett, G., "Sigma-Point Kalman Filters for Battery Management Systems of LiPB-Based HEV Battery Packs-Part 2: Simultaneous State and Parameter Estimation," Journal of Power Sources, Vol. 152, No. 2, October 2006, pp. 1369-84.
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