Abstract
This work presents an energy-based state estimation formalism for a class of dynamical systems with inaccessible/unknown outputs, and systems at which sensor utilization is impractical, or when measurements can not be taken. The power-conserving physical interconnections among most of the dynamical subsystems allow for power exchange through their power ports. Power exchange is conceptually considered as information exchange among the dynamical subsystems and further utilized to develop a natural feedback-like information from a class of dynamical systems with inaccessible/unknown outputs. This information is used in the design of an energybased state observer. Convergence stability of the estimation error for the proposed state observer is proved for systems with linear dynamics. Furthermore, robustness of the convergence stability is analyzed over a range of parameter deviation and model uncertainties. Experiments are conducted on a dynamical system with a single input and multiple inaccessible outputs (Fig. 1) to demonstrate the validity of the proposed energybased state estimation formalism.
Original language | Undefined |
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Title of host publication | Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems |
Place of Publication | Portugal |
Publisher | IEEE |
Pages | 3734-3740 |
Number of pages | 7 |
ISBN (Print) | 978-1-4673-1737-5 |
DOIs | |
Publication status | Published - 7 Oct 2012 |
Event | IEEE/RSJ International Conference on Robotics and Intelligent Systems 2012 - Vilamoura, Portugal Duration: 7 Oct 2012 → 12 Oct 2012 http://www.iros2012.org/site/ |
Publication series
Name | IEEE Xplore |
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Publisher | IEEE Robotics and Automation Society |
ISSN (Print) | 2153-0858 |
Conference
Conference | IEEE/RSJ International Conference on Robotics and Intelligent Systems 2012 |
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Abbreviated title | IROS 2012 |
Country/Territory | Portugal |
City | Vilamoura |
Period | 7/10/12 → 12/10/12 |
Internet address |
Keywords
- IR-82443
- METIS-289965
- CE-Advanced Robotics
- EWI-22854
- State estimation
- Energy