Advances in State and Parameter Estimation: Theory and Practice (1)

By: and and and

Sign Up Now! Already a Member? Log In
You must be logged into Bookshare to access this title. Learn about membership options, or view our freely available titles.

Synopsis
This book deals with the basics of parameter estimation and state estimation as the fundamental building blocks of mathematical modelling activity in the broader field of control theory. All the methods are validated using MATLAB®-based implementations with realistically simulated data for general dynamic systems, as well as for aircraft parameter estimation. This book includes several illustrative examples and chapter-end exercises.Features: Provides comprehensive coverage of all issues related to parameter and state estimation. Discusses advanced topics related to Kalman filter, stability analysis, image centroid tracking and neural networks for parameter estimation. Explores convergence and stability results for the discussed methods. Reviews the estimation of parameters in linear/nonlinear models, and distributed fitting. Includes MATLAB®-based illustrative examples, and exercises. This book is aimed at researchers and graduate students in systems and control, signal processing, estimation theory, engineering mathematics, and aerospace engineering.
Copyright:
2025

Book Details

Book Quality:
Publisher Quality
Book Size:
354 Pages
ISBN-13:
9781040349960
Related ISBNs:
9781040349915, 9781003620211, 9781032654867
Publisher:
CRC Press
Date of Addition:
Copyrighted By:
Jitendra R. Raol, Parimala P., Reshma V. and Sara M. George
Adult content:
No
Language:
English
Has Image Descriptions:
No
Categories:
Nonfiction, Technology
Submitted By:
Bookshare Staff
Usage Restrictions:
This is a copyrighted book.

Reviews

No Rating Yet