DocumentCode :
592243
Title :
Thermodynamics-based network systems control by thermal analogy
Author :
Berg, J.M. ; Maithripala, D.H.S. ; Qing Hui ; Haddad, Wassim M.
Author_Institution :
Dept. of Mech. Eng., Texas Tech Univ., Lubbock, TX, USA
fYear :
2012
fDate :
10-13 Dec. 2012
Firstpage :
3910
Lastpage :
3915
Abstract :
The laws of thermodynamics define the concepts of thermal equilibrium and thermal energy, and determine whether a particular transfer of thermal energy can occur. Collectively, these laws imply that a closed collection of thermodynamic subsystems will tend to energy equipartition. That is, the system will tend towards a condition where energy is evenly distributed over all subsystems. Applied to conductive heat transfer in a connected network of lumped thermal masses, the laws of thermodynamics imply that the system will approach thermal equilibrium. This paper generalizes the concepts of energy and entropy to undirected and directed networks of single integrators, and demonstrates how thermodynamic principles embodied by the laws of conductive heat transfer may be applied to the design of distributed consensus control algorithms for networked dynamic systems.
Keywords :
control system synthesis; convection; directed graphs; distributed control; entropy; interconnected systems; networked control systems; thermal variables control; conductive heat transfer; directed networks; distributed consensus control algorithm design; energy equipartition; entropy; integrators; lumped thermal masses; networked dynamic systems; thermal analogy; thermal energy transfer; thermal equilibrium; thermodynamic principles; thermodynamic subsystems; thermodynamics laws; thermodynamics-based network system control; undirected networks; Asymptotic stability; Entropy; Heat transfer; Heating; Temperature; Thermodynamics; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
Conference_Location :
Maui, HI
ISSN :
0743-1546
Print_ISBN :
978-1-4673-2065-8
Electronic_ISBN :
0743-1546
Type :
conf
DOI :
10.1109/CDC.2012.6426012
Filename :
6426012
Link To Document :
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