Bond graph models provide very useful insights into the structure of dynamic systems. One major advantage of using these models is the clear representation of constraints and independent state variables. However, certain over-constrained structures are not dealt with adequately with this approach. Such a situation arises when several energy storage elements of the same type are directly coupled by a junction structure. In these models, although the representations are legitimate in terms of physical meaning, the resultant excess states cause pitfalls in the inspection of system properties. This paper proposes the use of explicit fields to eliminate such ambiguities. It was found that the excess states caused by the topological structures can be totally eliminated by explicit fields. The excess states caused by the imposed sources then can be identified properly. Several applications are presented to illustrate the use of explicit fields.
Skip Nav Destination
Article navigation
September 1999
Technical Papers
Explicit Energy Storage Fields and Their Application to Structural Property Inspection of Physical Systems
Shih-Ying Huang,
Shih-Ying Huang
Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139
Search for other works by this author on:
Kamal Youcef-Toumi
Kamal Youcef-Toumi
Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139
Search for other works by this author on:
Shih-Ying Huang
Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139
Kamal Youcef-Toumi
Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139
J. Dyn. Sys., Meas., Control. Sep 1999, 121(3): 402-409 (8 pages)
Published Online: September 1, 1999
Article history
Received:
June 30, 1998
Online:
December 3, 2007
Citation
Huang, S., and Youcef-Toumi, K. (September 1, 1999). "Explicit Energy Storage Fields and Their Application to Structural Property Inspection of Physical Systems." ASME. J. Dyn. Sys., Meas., Control. September 1999; 121(3): 402–409. https://doi.org/10.1115/1.2802488
Download citation file:
Get Email Alerts
Cited By
Offline and Online Exergy-Based Strategies for Hybrid Electric Vehicles
J. Dyn. Sys., Meas., Control (May 2025)
Multi Combustor Turbine Engine Acceleration Process Control Law Design
J. Dyn. Sys., Meas., Control
A Distributed Layered Planning and Control Algorithm for Teams of Quadrupedal Robots: An Obstacle-Aware Nonlinear Model Predictive Control Approach
J. Dyn. Sys., Meas., Control (May 2025)
Active Data-Enabled Robot Learning of Elastic Workpiece Interactions
J. Dyn. Sys., Meas., Control (May 2025)
Related Articles
Water-Hammer Analysis by the Laplace-Mellin Transformation
Trans. ASME (July,1945)
Dual Faceted Linearization of Nonlinear Dynamical Systems Based on Physical Modeling Theory
J. Dyn. Sys., Meas., Control (February,2019)
Thermal Management of Transient Power Spikes in Electronics—Phase Change Energy Storage or Copper Heat Sinks?
J. Electron. Packag (September,2004)
Systematic Identification of Decoupling in Dynamic System Models
J. Dyn. Sys., Meas., Control (July,2007)
Related Proceedings Papers
Related Chapters
Ultra High-Speed Microbridge Chaos Domain
Intelligent Engineering Systems Through Artificial Neural Networks, Volume 17
Inspection and Maintenance of Ageing Concrete Oil and Gas Structures on the Norwegian Continental Shelf
Ageing and Life Extension of Offshore Facilities
Topic-Vector Based User Model for Social Tagging Systems
International Conference on Computer Technology and Development, 3rd (ICCTD 2011)