Nonlinear Filtering Methods and Applications /

• Main Authors: Chandra, Kumar Pakki Bharani (Author, http://id.loc.gov/vocabulary/relators/aut), Gu, Da-Wei (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Subjects: Control engineering.; Signal processing.; Image processing.; Speech processing systems.; Control and Systems Theory.; Signal, Image and Speech Processing.

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 nonline...

Table of Contents:

• Linear and Nonlinear Control Systems
• State Estimation and Prediction
• Linear Estimation Techniques
• Jacobian-Based Filters
• Unscented Kalman Filters
• Cubature Kalman Filters
• Variants of Cubature Kalman Filters
• Robustness Consideration of Filtering Algorithms.