Kalman Filtering: Theory and Practice Using MATLAB, Second Edition
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More About This Title Kalman Filtering: Theory and Practice Using MATLAB, Second Edition
English
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.
English
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.
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.
English
"This book could serve as an introduction to stochastic/random processes...practicing engineers with enough mathematical background would appreciate this book...academicians and scientists would also find this book very useful." (IEEE Circuits & Devices Magazine, July 2003)
"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)
