DocumentCode :
3693613
Title :
Local4Global Adaptive Optimization and control for System-of-Systems
Author :
Elias B. Kosmatopoulos;Iakovos Michailidis;Christos D. Korkas;Christos Ravanis
Author_Institution :
Dept. of Electrical and Computer Engineering, Democritus University of Thrace, Xanthi 67100, Greece
fYear :
2015
fDate :
7/1/2015 12:00:00 AM
Firstpage :
3536
Lastpage :
3541
Abstract :
Over the recent past years research effort has been dedicated towards addressing a generic solution in System of Systems (SoS) control problems. Two are the main obstacles that have to be bypassed in such problem cases, especially in real life applications, rendering the optimization problem into a complicated/challenging one: (i) modelling/simulation tools are usually used in order to construct an as-close-as-possible to reality accurate model, whose construction though requires a considerable amount of time and effort and (ii) furthermore, standard control system designs when applied to SoS exhibit poor performance as they are required to handle very high-dimensional problems. In this paper, we present a first attempt towards addressing these issues. More precisely, a new adaptive optimal control methodology is presented and evaluated. The main attributes of the proposed control methodology is its local nature with minimum requirements for coordination between the constituent system of the SoS and its model-free nature.
Keywords :
"Approximation algorithms","Control systems","Cost function","Standards","Mathematical model","Estimation"
Publisher :
ieee
Conference_Titel :
Control Conference (ECC), 2015 European
Type :
conf
DOI :
10.1109/ECC.2015.7331081
Filename :
7331081
Link To Document :
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