Non Gaussian State Estimation and the Maximum Correntropy Approach

1. Auflage 2025
ISBN: 978-1-032-58197-2
Verlag: Taylor & Francis Ltd

Buch, Englisch, 208 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 453 g

Reihe: Control Theory and Applications

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.

Zielgruppe

Academic and Postgraduate

Autoren/Hrsg.

Radhakrishnan, Rahul

Ozana, Stepan

Fachgebiete

• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik

Inhaltsverzeichnis

1. Introduction 2. Estimation With Weighted Least Squares 3. Recursive State Estimation: Linear Systems 4. Nonlinear State Estimation 5. Maximum Correntropy Algorithms For Nonlinear Systems 6. Maximum Correntropy Algorithms For Non-Gaussian Systems 7. Angles-Only Target Tracking 8. Tracking And Interception Of Ballistic Target On Re-entry 9. Application To Process Control: Quadruple Tank System

Über Autor(innen)

Rahul Radhakrishnan received the B.Tech. degree in Applied Electronics and Instrumentation from the Government Engineering College, Calicut, India, in 2010 and the M.Tech. degree in Control Systems from the Department of Electrical Engineering, National Institute of Technology Kurukshetra, India, in 2013. He received the Ph.D. degree from the Department of Electrical Engineering, Indian Institute of Technology Patna, India, in 2018. Currently, he is working as an Assistant Professor in the Department of Electrical Engineering, Sardar Vallabhbhai National Institute of Technology, Surat, Gujarat, India. His main research interests include nonlinear filtering, aerospace, underwater target tracking, state-of-charge estimation, and process control.