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Non Gaussian State Estimation and the Maximum Correntropy Approach

Non Gaussian State Estimation and the Maximum Correntropy Approach - Control Theory and Applications

1st edition

Hardback (13 Nov 2025)

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Publisher's Synopsis

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. Some key points discussed in the book are-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.

Book information

ISBN: 9781032581972
Publisher: CRC Press
Imprint: CRC Press
Pub date:
Edition: 1st edition
Language: English
Number of pages: 208
Weight: 453g
Height: 234mm