Title :
Granular Computing Application to Hybrid Systems Control
Author_Institution :
M3 Comp. LLC, Newark, DE, USA
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;
Conference_Titel :
Computational Intelligence for Modelling Control & Automation, 2008 International Conference on
Conference_Location :
Vienna
Print_ISBN :
978-0-7695-3514-2
DOI :
10.1109/CIMCA.2008.153