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
โ Scribed by John L. Crassidis, John L. Junkins
- Publisher
- Chapman and Hall/CRC
- Year
- 2004
- Tongue
- English
- Leaves
- 608
- Series
- Chapman & Hall/CRC Applied Mathematics & Nonlinear Science
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
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 mechanical and aerospace engineering to provide results of estimation concepts with a minimal reliance on mathematical skills. Coverage encompasses central concepts and methods of optimal estimation theory, and includes rigorous theoretical derivations and qualitative discussion in the context of solving example problems. Analytical and computer-based problems are included.
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