About this scholarly article

Kalman Filtering For Linear Systems Driven By Wiener Process-ii by Ahmed, Nasir Uddin is a scholarly article available to read on EtoBox.

The book combines both rigor and intuition to derive most of the classical results of linear and nonlinear filtering and beyond. Many fundamental results recently discovered by the author are included. Furthermore, many results that have appeared in recent years in the literature are also presented. The most interesting feature of the book is that all the derivations of the linear filter equations given in Chapters 3-11, beginning from the classical Kalman filter presented in Chapters 3 and 5, are based on one basic principle which is fully rigorous but also very intuitive and easily understandable. The second most interesting feature is that the book provides a rigorous theoretical basis for the numerical solution of nonlinear filter equations illustrated by multidimensional examples. The book also provides a strong foundation for theoretical understanding of the subject based on the theory of stochastic differential equations.

Author

Ahmed, Nasir Uddin

Publisher

World Scientific Publishing Co Pte Ltd

Published

1999

Language

EN

ISBN

9789812815934