The design of the FDI filter for the yaw-roll control of heavy vehicles

P. Gáspár, Istvan Szaszi, Jozsef Bokor

Research output: Contribution to journalConference article


In this paper the Fault Detection and Identification (FDI) filter which identifies the different actuator and sensor failures is designed. The FDI filter design is based on the weighted H filtering. It uses the Linear Parameter Varying (LPV) model of the vehicle, in which the forward velocity is selected as a scheduling parameter. The LPV based FDI filter design is demonstrated in varies vehicle manoeuvres.

Original languageEnglish
Pages (from-to)435-440
Number of pages6
JournalIFAC Proceedings Volumes (IFAC-PapersOnline)
Issue number5
Publication statusPublished - Jan 1 2003
Event5th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes, Safeprocess 2003 - Washington, United States
Duration: Jun 9 1997Jun 11 1997


  • Automotive control
  • Fault detection
  • Fault diagnosis
  • Nonlinear models
  • Vehicle dynamics

ASJC Scopus subject areas

  • Control and Systems Engineering

Fingerprint Dive into the research topics of 'The design of the FDI filter for the yaw-roll control of heavy vehicles'. Together they form a unique fingerprint.

  • Cite this