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商品詳細
Non Gaussian State Estimation and the Maximum Correntropy Approach.
・ISBN 978-1-032-58197-2 hard GB£ 187.99
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| 著者・編者 | Radhakrishnan, Rahul / Ozana, Stepan, |
|---|---|
| シリーズ | (Control Theory and Applications) |
| 出版社 | (CRC Press, UK) |
| 出版年月 | 2025 |
| ページ数 | 197 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A04-52748＞ |
解説
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.