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dc.contributor.authorDelmotte, Florent
dc.contributor.authorEgerstedt, Magnus B.
dc.date.accessioned2011-04-12T14:14:17Z
dc.date.available2011-04-12T14:14:17Z
dc.date.issued2005
dc.identifier.citationF. Delmotte and M. Egerstedt. From Empirical Data to Multi-Modal Control Procedures. New Directions in Control Theory and Applications, Lecture Notes in Control and Information Sciences, Vol. 321, pp. 81-96, Springer-Verlag, Lubbock, TX, 2005.en_US
dc.identifier.isbn3540239537
dc.identifier.urihttp://hdl.handle.net/1853/38477
dc.descriptionThe original publication is available at www.springerlink.com.en_US
dc.description.abstractIn this paper we study the problem of generating control programs, i.e. strings of symbolic descriptions of control-interrupt pairs (or modes) from input-output data. In particular, we take the point of view that such control programs have an information theoretic content and thus that they can be more or less effectively coded. As a result, we focus our attention on the problem of producing low-complexity programs by recovering the strings that contain the smallest number of distinct modes. An example is provided where the data is obtained by tracking ten roaming ants in a tank.en_US
dc.language.isoen_USen_US
dc.publisherGeorgia Institute of Technologyen_US
dc.subjectControl systemsen_US
dc.subjectMulti-modal controlen_US
dc.subjectMotion description languagesen_US
dc.titleFrom Empirical Data to Multi-Modal Control Proceduresen_US
dc.typeBook Chapteren_US
dc.contributor.corporatenameGeorgia Institute of Technology. School of Electrical and Computer Engineering
dc.contributor.corporatenameGeorgia Institute of Technology. Center for Robotics and Intelligent Machines
dc.publisher.originalSpringer-Verlag


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