Published 2004
| Version public
Book Section - Chapter
Discrete State Estimators for a Class of Hybrid Systems on a Lattice
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Abstract
In this paper we consider the problem of estimating discrete variables in a class of hybrid systems where we assume that the continuous variables are available for measurement. Using lattice and order theory we develop a frame-work for constructing a discrete state estimator on an enlarged space of variables with lattice structure, which updates only two variables at each step. We apply our ideas to a multi-robot system example, the RoboFlag Drill.
Additional Information
© Springer-Verlag Berlin Heidelberg 2004. This work was supported in part by the ONR grant N00014-10-1-0890 under the MURI program, and the NSF Center for Neuromorphic Systems Engineering. We would like to thank Professor Eric Klavins for his contribution to our knowledge on computer science related subjects and for his insightful comments.Additional details
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- Eprint ID
- 98244
- Resolver ID
- CaltechAUTHORS:20190826-124740570
Funding
- Office of Naval Research (ONR)
- N00014-10-1-0890
- Center for Neuromorphic Systems Engineering, Caltech
- NSF
Dates
- Created
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2019-08-26Created from EPrint's datestamp field
- Updated
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2021-11-16Created from EPrint's last_modified field
Caltech Custom Metadata
- Series Name
- Lecture Notes in Computer Science
- Series Volume or Issue Number
- 2993