Non Gaussian State Estimation and the Maximum Correntropy Approach
eBook - ePub

Non Gaussian State Estimation and the Maximum Correntropy Approach

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Non Gaussian State Estimation and the Maximum Correntropy Approach

About this book

This monograph aims to present the recent advances in state estimation, in terms of relaxing the conventional assumption that probability densities remain Gaussian. The book explains how MCC is integrated into the conventional Bayesian estimation framework and their implementation to real-life problems.

Features:

Reviews well-established non-Gaussian estimation methods including applications of techniques

Covers relaxation of gaussian assumption

Discusses challenges in formulating non-liner non-Gaussian estimation framework

Illustrates the applicability of the algorithms mentioned to real-life problems

Explores derivation of non-linear non-Gaussian estimation framework based on maximum correntropy criterion

This book is aimed at researchers and graduate students in electrical engineering, robotics, and dynamic systems.

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Information

Publisher
CRC Press
Year
2025
eBook ISBN
9781040435915

Table of contents

  1. Cover Page
  2. Half-Title Page
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Contents
  7. List of Figures
  8. List of Tables
  9. Preface
  10. Author
  11. Chapter 1 Introduction
  12. Chapter 2 Estimation with Weighted Least Squares
  13. Chapter 3 Recursive State Estimation: Linear Systems
  14. Chapter 4 Non-linear State Estimation
  15. Chapter 5 Maximum Correntropy Estimation Algorithms for Non-linear Systems
  16. Chapter 6 Maximum Correntropy Algorithms for Non-Gaussian Systems
  17. Chapter 7 Angles-only Target Tracking
  18. Chapter 8 Tracking and Interception of a Ballistic Target on Reentry
  19. Chapter 9 State of Charge Estimation for Battery Management Systems
  20. Index

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Yes, you can access Non Gaussian State Estimation and the Maximum Correntropy Approach by Rahul Radhakrishnan,Stepan Ozana in PDF and/or ePUB format. We have over 1.5 million books available in our catalogue for you to explore.