Model reduction in vehicle dynamics using importance analysis

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

Research output: Contribution to journalArticlepeer-review

10 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 realisation, 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)
Pages (from-to)851-865
Number of pages15
JournalVehicle System Dynamics
Issue number7
StatePublished - Jul 2009

All Science Journal Classification (ASJC) codes

  • Automotive Engineering
  • Safety, Risk, Reliability and Quality
  • Mechanical Engineering


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