Model reduction in vehicle dynamics using importance analysis

Tulga Ersal, Burit Kittirungsi, Hosam Kadry Fathy, Jeffrey L. Stein

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations


Previous work by the authors developed a novel model reduction method, namely, importance analysis, that offered a unique set of properties: concurrent dynamic and kinematic reduction, applicability to nonlinear systems, preservation of realization, and trajectory dependence. This paper investigates the utility of importance analysis as a model reduction tool within the context of vehicle dynamics. To this end, a high-fidelity model of a High Mobility Multipurpose Wheeled Vehicle (HMMWV) is considered, and this model is reduced for three different scenarios. Reduction is achieved in both dynamics and kinematics while preserving the original definition and interpretation of state variables and parameters. Furthermore, the resulting reduced models are very different in terms of complexity, containing only what is necessary for their respective scenarios, and providing important insight and computational savings. The conclusion is that importance analysis can be an invaluable reduction tool in vehicle dynamics, offering the aforementioned unique set of properties.

Original languageEnglish (US)
Title of host publication2008 Proceedings of the ASME Dynamic Systems and Control Conference, DSCC 2008
Number of pages8
EditionPART B
StatePublished - 2009
Event2008 ASME Dynamic Systems and Control Conference, DSCC 2008 - Ann Arbor, MI, United States
Duration: Oct 20 2008Oct 22 2008


Other2008 ASME Dynamic Systems and Control Conference, DSCC 2008
CountryUnited States
CityAnn Arbor, MI

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering
  • Mechanical Engineering

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