State-dependent Kalman filters for robust engine control

Arkadiusz Dutka, Hossein Javaherian, Michael J. Grimble

Research output: Contribution to conferencePaper

8 Citations (Scopus)
331 Downloads (Pure)


Vehicle emissions variations impose significant challenges to the automotive industry. In these simulation studies, nonlinear estimation techniques based on state-dependent and extended Kalman filtering are developed for spark ignition engines to enhance robustness of the feedforward fuel controllers to changes in nominal system parameters and measurement errors. A model-based approach is used to derive the optimal filters. Numerical simulations indicate the superiority of estimation-based approaches to enhance robustness of in-cylinder air estimation which directly contributes to the precision of engine exhaust air-fuel ratio and, consequently the consistency of the tailpipe emissions. The results obtained are for an aggressive driving profile and are presented and discussed

Original languageEnglish
Number of pages4
Publication statusPublished - 16 Jun 2006
EventAmerican Control Conference - Minneapolis, MN , United States
Duration: 14 Jun 200616 Jun 2006


ConferenceAmerican Control Conference
Country/TerritoryUnited States
CityMinneapolis, MN


  • automotive engineering
  • kalman filters
  • filtering ignition
  • robust control
  • sparks
  • state estimation
  • vehicles
  • exhaust systems


Dive into the research topics of 'State-dependent Kalman filters for robust engine control'. Together they form a unique fingerprint.

Cite this