Most newcomers to the field of linear stochastic estimation go through a difficult process in understanding and applying the theory.This book minimizes the process while introducing the fundamentals of optimal estimation.Optimal Estimation of Dynamic Systems explores topics that are important in th
Optimal Estimation of Dynamic Systems
โ Scribed by John L. Crassidis
- Publisher
- Chapman & Hall/CRC
- Year
- 2004
- Tongue
- English
- Leaves
- 608
- Series
- Chapman & Hall/CRC applied mathematics and nonlinear science series
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
This book introduces the fundamental ideas of linear stochastic estimation or what is more commonly known as optimal estimation. These ideas are important in the field of control where the signals received are noisy and used to determine the flight path of a plane, orbit of a space vehicle or the control of a machine. The authors provide rigorous theoretical derivations with qualitative discussion, judgments, and applications while making it accessible to the beginner. They use dynamic models from mechanical and aerospace engineering as opposed to the traditional black box to provide immediate results of estimation concepts with only a minimum reliance on mathematical skills.
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Crassidis (mechanical and aerospace engineering, State University of New York-Buffalo) and Junkins (Center for Mechanics and Control, Texas A&M University) introduce fundamentals of estimation to engineers, scientists, applied mathematicians, and advanced students, using dynamic models from mechanic
This book introduces the fundamental ideas of linear stochastic estimation or what is more commonly known as optimal estimation. These ideas are important in the field of control where the signals received are noisy and used to determine the flight path of a plane, orbit of a space vehicle or the co
Optimal Estimation of Dynamic Systems, Second Edition highlights the importance of both physical and numerical modeling in solving dynamics-based estimation problems found in engineering systems. Accessible to engineering students, applied mathematicians, and practicing engineers, the text presents