logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Hybrid Estimation Of Complex Systems 1st Edition Michael W Hofbaur

  • SKU: BELL-2122014
Hybrid Estimation Of Complex Systems 1st Edition Michael W Hofbaur
$ 31.00 $ 45.00 (-31%)

4.7

16 reviews

Hybrid Estimation Of Complex Systems 1st Edition Michael W Hofbaur instant download after payment.

Publisher: Springer
File Extension: PDF
File size: 2.57 MB
Pages: 163
Author: Michael W. Hofbaur
ISBN: 9783540257271, 3540257276
Language: English
Year: 2005
Edition: 1

Product desciption

Hybrid Estimation Of Complex Systems 1st Edition Michael W Hofbaur by Michael W. Hofbaur 9783540257271, 3540257276 instant download after payment.

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.

Related Products