Authors:
- 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 estimation in the presence of unknown behavioral modes and to automate system analysis and synthesis tasks for on-line operation
Part of the book series: Lecture Notes in Control and Information Sciences (LNCIS, volume 319)
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Table of contents (5 chapters)
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Front Matter
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Back Matter
About this book
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.
Bibliographic Information
Book Title: Hybrid Estimation of Complex Systems
Authors: Michael W. Hofbaur
Series Title: Lecture Notes in Control and Information Sciences
DOI: https://doi.org/10.1007/b105591
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2005
Softcover ISBN: 978-3-540-25727-1Published: 09 June 2005
eBook ISBN: 978-3-540-31587-2Published: 21 September 2005
Series ISSN: 0170-8643
Series E-ISSN: 1610-7411
Edition Number: 1
Number of Pages: XIX, 148
Number of Illustrations: 69 b/w illustrations
Topics: Control and Systems Theory, Vibration, Dynamical Systems, Control, Applications of Mathematics, Control, Robotics, Mechatronics, Systems Theory, Control, Artificial Intelligence
Industry Sectors: Aerospace, Automotive, Chemical Manufacturing, Electronics, Engineering, IT & Software, Materials & Steel, Oil, Gas & Geosciences, Telecommunications