| 书目名称 | Hybrid Estimation of Complex Systems |
| 编辑 | Michael W. Hofbaur |
| 视频video | |
| 概述 | Provides a tool-set for hybrid estimation to monitor complex artifacts.Applications to production plants, automotive or aeronautical systems, and autonomous robots.Novel approach to continue hybrid es |
| 丛书名称 | Lecture Notes in Control and Information Sciences |
| 图书封面 |  |
| 描述 | .This monograph provides a tool-set for hybrid estimation that can successfully monitor the behavior of complex artifacts with a large number of possible operational and failure modes such as production plants, automotive or aeronautic systems, and autonomous robots. For this purpose, ideas from the fields of System Theory and Artificial Intelligence are taken and hybrid estimation is reformulated as a search problem. This allows to focus the estimation onto highly probably operational modes, without missing symptoms that might be hidden among the noise in the system. Additionally a novel approach to continue hybrid estimation in the presence of unknown behavioral modes and to automate system analysis and synthesis tasks for on-line operation are presented. This leads to a flexible model-based hybrid estimation scheme for complex artifacts that robustly copes with unforeseen situations. . |
| 出版日期 | Book 2005 |
| 关键词 | artificial intelligence; automata; autonomous robot; intelligence; robot; system analysis; systems theory |
| 版次 | 1 |
| doi | https://doi.org/10.1007/b105591 |
| isbn_softcover | 978-3-540-25727-1 |
| isbn_ebook | 978-3-540-31587-2Series ISSN 0170-8643 Series E-ISSN 1610-7411 |
| issn_series | 0170-8643 |
| copyright | Springer-Verlag Berlin Heidelberg 2005 |
发表于 2025-3-21 19:29:50
