Preface. Acknowledgments. General Information. Linear Dynamic Systems. Random Processes and Stochastic Systems. Linear Optimal Filters and Predictors. Nonlinear Applications. Implementation Methods. Practical Considerations. Appendix A: MATLAB Software. Appendix B: A Matrix Refresher. References. Index.
MOHINDER S. GREWAL, PhD, PE, is Professor of Electrical Engineering in the College of Engineering and Computer Science at California State University, Fullerton. He has more than thirty-five years of experience in inertial navigation and control, and his mechanizations are currently used in commercial and military aircraft, surveillance satellites, missile and radar systems, and freeway traffic control. ANGUS P. ANDREWS, PhD, is a senior scientist at the Rockwell Science Center. His experience with aerospace systems analysis and design using Kalman filters began with his involvement in the Apollo moon project, and he is credited with the discovery of unknown landmark tracking as an orbital navigation method.
"Provides readers with a working familiarity with both the theoretical and practical aspects of Kalman filtering." (SciTech Book News, Vol. 25, No. 3, September 2001)
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