
Non Gaussian State Estimation and the Maximum Correntropy Approach
Description
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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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Persons
Stepan Ozana was born in Bilovec, Czech Republic, in May 1977. He studied electrical engineering at the VSB Technical University of Ostrava, and received the M.Sc. degree in control and measurement engineering, in 2000, and the Ph.D. degree in technical cybernetics, in 2004. In 2015, he was habilitated in technical cybernet?ics. Since then, he has been working as an Associate Professor with the Department of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava. He currently gives lec?tures on cybernetics and control systems. His main areas of interest and expertise are modeling and simulation of dynamic systems, control theory, automation, design, implementation, and deployment of control algorithms using soft PLC systems
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