000			02034cam a2200277 i 4500
001			137197
003			ISI Library, Kolkata
005			20161107161239.0
008			140521s2015 njua b 001 0 eng
020			_a9781118851210
040			_aISI Library
082	0	4	_a629.8312 _223 _bG841
100	1		_aGrewal, Mohinder S., _eauthor
245	1	0	_aKalman filtering : _btheory and practice using MATLAB / _cMohinder S. Grewal and Angus P. Andrews.
250			_a4th ed.
260			_aNew Jersey : _bJohn Wiley, _c©2015.
300			_axvii, 617 p. : _billustrations ; _c24 cm.
504			_aIncludes bibliographical references and index.
505	0		_a1. Introduction -- 2. Linear dynamic systems -- 3. Probability and expectancy -- 4. Random processes -- 5. Linear optimal filters and predictors -- 6. Optimal smoothers -- 7. Implementation methods -- 8. Nonlinear approximations -- 9. Practical considerations -- 10. Applications to navigation -- Appendix A: software -- Index.
520			_aThis book contains the latest developments in the implementation and application of Kalman filtering. Authors Grewal and Andrews draw upon their decades of experience to offer an in-depth examination of the subtleties, common pitfalls, and limitation of estimation theory as it applies to real-world situations. They present many illustrative examples including adaptations for nonlinear filtering, global navigation satellite systems, the error modeling of gyros and accelerometers, inertial navigation systems, and freeway traffic control. Kalman Filtering: Theory and Practice Using MATLAB, fourth edition is an ideal textbook in advanced undergraduate and beginning graduate courses in stochastic processes and Kalman filtering. It is also appropriate for self-instruction or review by practicing engineers and scientists who want to learn more about this topic.
650		0	_aKalman filtering.
650		0	_aMATLAB.
650		0	_aKalman-Filter.
700	1		_aAndrews, Angus P., _eauthor
942			_2ddc _cBK
999			_c421228 _d421228