Stock photo: cover may vary
Nonlinear Filtering: Methods and Applications Hardback - 2018
by Chandra, Kumar Pakki Bharani (Author)/ Gu, Da-Wei (Author)
- New
- Hardback
A$295.58
A$29.26
Delivery to USA
Standard delivery: 7 to 14 days
More delivery options
Standard delivery: 7 to 14 days
Ships from Revaluation Books (Devon, United Kingdom)
Details
- Title Nonlinear Filtering: Methods and Applications
- Author Chandra, Kumar Pakki Bharani (Author)/ Gu, Da-Wei (Author)
- Binding Hardback
- Condition New
- Pages 184
- Volumes 1
- Language ENG
- Publisher Springer
- Publication date 2018
- Illustrated Yes
- Features Illustrated
- Bookseller's Inventory # x-3030017966
- ISBN 9783030017965 / 3030017966
- Weight 1.03 lbs (0.47 kg)
- Dimensions 9.21 x 6.14 x 0.5 in (23.39 x 15.60 x 1.27 cm)
- Category Technology & Industrial Arts
- Dewey Decimal Code 621.382
- Quantity available 2
About Revaluation Books Devon, United Kingdom
Biblio member since 2020
General bookseller of both fiction and non-fiction.
Reader reviews for Nonlinear Filtering: Methods and Applications
Write a review for this book
Important Terms and Guidelines
- Please focus on the book’s content and context. Also, add any personal comments as to how you enjoyed the book. Substantiate your likes and dislikes. You may make comparisons to other books.
- Reviews must be at least 140 characters in length.
- Please do not reveal critical plot elements.
- This is not a help line. Contact customer support if you need help.
Your review must not include:
- Obscenities, discriminatory language, or other insulting language not suitable for public domain
- Advertisements, “spam” content, or references to other products, offers or websites.
- Email addresses, URLs, phone numbers, physical addresses or other contact information.
- Overly critical comments about other reviews or reviewers
- Time-sensitive material (i.e. promotional tours, seminars, lectures, etc.)
- Availability, price, or alternative ordering/shipping information
From the publisher
From the rear cover
This book gives readers in-depth know-how on methods of state estimation for nonlinear control systems. It starts with an introduction to dynamic control systems and system states and a brief description of the Kalman filter. In the following chapters, various state estimation techniques for nonlinear systems are discussed, including the extended, unscented and cubature Kalman filters, etc. The cubature Kalman filter and its variants are introduced in particular detail because of their efficiency and their ability to deal with systems with Gaussian and/or non-Gaussian noise. The book also discusses information-filter and square-root-filtering algorithms, useful for state estimation in some real-time control system design problems.
A number of case studies are included in the book to illustrate the application of various nonlinear filtering algorithms. Nonlinear Filtering is written for academic and industrial researchers, engineers and research students who are interested in nonlinear control systems analysis and design. The chief features of the book include: dedicated coverage of recently developed nonlinear, Jacobian-free, filtering algorithms; examples illustrating the use of nonlinear filtering algorithms in real-world applications; detailed derivation and complete algorithms for nonlinear filtering methods help readers to a fundamental understanding and easier coding of those algorithms; and MATLAB(R) codes associated with case-study applications can be downloaded from the Springer Extra Materials website.
