TY - GEN
T1 - Energy equipartition control for geospatial cyber-physical network systems
AU - Zeng, Xianlin
AU - Hui, Qing
N1 - Publisher Copyright:
© 2014 by ASME.
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/84929240264
U2 - 10.1115/DSCC2014-5944
DO - 10.1115/DSCC2014-5944
M3 - Conference contribution
AN - SCOPUS:84929240264
T3 - ASME 2014 Dynamic Systems and Control Conference, DSCC 2014
BT - 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
PB - American Society of Mechanical Engineers
T2 - ASME 2014 Dynamic Systems and Control Conference, DSCC 2014
Y2 - 22 October 2014 through 24 October 2014
ER -