Advanced Kalman Filter Theory: Instructor
The instructor for this course is Michael L. Carroll, a mathematician and
aerospace veteran with over 20 years of experience in the development and
use of Kalman filters in aerospace applications. His Kalman filter
experience includes applications in:
- Inertial Measurement Unit (IMU) calibration and alignment
- Multisensor, integrated aircraft navigation systems (Special Ops C-130)
- INS/GPS systems (BEI Systron Donner C-MIGITS II / III)
Missions)
Mr. Carroll is an experienced technical instructor having taught at the
University of California at Santa Barbara (UCSB), University of California
at Riverside (UCR). He has lectured on Kalman filter theory at Warner Robbins AFB
as a consultant to Lockheed Martin and at BEI Systron Donner as part of an
in-house technical seminar series. He has taught a variety of software
engineering topics including courses on Java J2EE technologies such as servelets and
Java Server Pages. He was instrumental in establishing the curriculum for
and teaching within the
Enterprise Networking and Telecommunications Certificate program within the
UCR Extension engineering department.
Among Mr. Carroll's published works is the book entitled Cyberstrategies:
How to build an Internet-based information system, one of the first
books on Intranets.
Mr. Carroll is currently engaged at BEI Systron Donner in Concord, CA as a
senior software engineer and principal analyst for the C-MIGITS INS/GPS
Kalman filter.
For a more detailed resume of Mr. Carroll and a larger list of his publications,
click here.
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Kalman filtering measure theory Carroll advanced course
covariance estimation optimal control
Concord, California
Hilbert space
inertial navigation GPS
INS/GPS
update
Ricatti Equation
extrapolation
Kalman filtering
course