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Energy Equipartition Control for Geospatial Cyber-Physical Network Systems

[+] Author Affiliations
Xianlin Zeng, Qing Hui

Texas Tech University, Lubbock, TX

Paper No. DSCC2014-5944, pp. V003T40A001; 10 pages
  • ASME 2014 Dynamic Systems and Control Conference
  • Volume 3: Industrial Applications; Modeling for Oil and Gas, Control and Validation, Estimation, and Control of Automotive Systems; Multi-Agent and Networked Systems; Control System Design; Physical Human-Robot Interaction; Rehabilitation Robotics; Sensing and Actuation for Control; Biomedical Systems; Time Delay Systems and Stability; Unmanned Ground and Surface Robotics; Vehicle Motion Controls; Vibration Analysis and Isolation; Vibration and Control for Energy Harvesting; Wind Energy
  • San Antonio, Texas, USA, October 22–24, 2014
  • Conference Sponsors: Dynamic Systems and Control Division
  • ISBN: 978-0-7918-4620-9
  • Copyright © 2014 by ASME


This paper develops three novel hybrid control techniques addressing fast energy equipartition for cyber-physical network systems, and discusses the future application of the proposed approaches to power network systems. The proposed hybrid distributed controller architectures are designed to mimick the dynamic behavior of thermodynamic systems to achieve the robust performance of cyber-physical network systems. The proposed controller architectures are constructed in such a way that each controller has a one-directional energy transfer from a plant to itself, and exchanges energy with its neighboring controllers. Energy-based resetting laws and power-based resetting laws are utilized in the hybrid controllers. Then, the hybrid control techniques are applied to power network systems, and simulation studies are carried out to show the efficacy of the proposed approaches.

Copyright © 2014 by ASME



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