In 1960, R. E. Kalman published his celebrated paper on recursive min imum variance estimation in dynamical systems [14]. This paper, which introduced an algori

More than a decade ago, world-renowned control systems authority Frank L. Lewis introduced what would become a standard textbook on estimation, under the title

Sensor data fusion is the process of combining error-prone, heterogeneous, incomplete, and ambiguous data to gather a higher level of situational awareness. In

A bottom-up approach that enables readers to master and apply the latest techniques in state estimation This book offers the best mathematical approaches to est

Interest in digital filtering techniques continues to grow with the general increase in the use of digital processors. The first five chapters of this book form