DocumentCode
2664092
Title
Granular Computing Application to Hybrid Systems Control
Author
Rago, Francesco
Author_Institution
M3 Comp. LLC, Newark, DE, USA
fYear
2008
fDate
10-12 Dec. 2008
Firstpage
592
Lastpage
596
Abstract
Rough sets are used to define granule of information from data of a sensors network. The abstraction is used to generate a meaning from uncorrelated events with appropriate definitions of dependency. Such granules of information are used to abstract states of a system under control. To have system control means to have a control model. The non linearity and the complexity of the environment bring naturally to the application of piecewise-affine hybrid control system approach. The approach simplifies the granules definition and takes into account the relative significance of the available information (discrete and continuous). The report presents a new approach to integrate event calculus with the control theory of hybrid systems using the glue of rough sets.
Keywords
continuous systems; control nonlinearities; discrete systems; rough set theory; temporal logic; environment complexity; environment nonlinearity; event calculus; granular computing; hybrid systems control; piecewise-affine hybrid control system approach; rough sets; sensors network; Automata; Calculus; Computer applications; Control systems; Control theory; Internet; Linear systems; Predictive models; Rough sets; Sensor systems; Events Calculus; Granular Computing; Piecewise Affine Linear Systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence for Modelling Control & Automation, 2008 International Conference on
Conference_Location
Vienna
Print_ISBN
978-0-7695-3514-2
Type
conf
DOI
10.1109/CIMCA.2008.153
Filename
5172692
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