MISSING DATA COMPENSATION FOR SAFETY-CRITICAL COMPONENTS IN A DRIVE-BY-WIRE SYSTEM

This paper presents a new multi-step ahead predictive filtering technique to compensate for missing data samples in a drive-by-wire system. The primary advantage of this technique is that it requires only one set of finite impulse response (FIR) filter weights to be tuned, memorized, and applied to different numbers of steps ahead predictions. The proposed filter was verified and compared by applying the model and four competing methods to predict up to four missing samples of displacement sensor data from a brake pedal in a brake-by-wire system. Results showed that the proposed FIR filter’s prediction performance was superior to other filters and the computational overhead of data missing handling was lower than other comparable methods.

Language

  • English

Media Info

Subject/Index Terms

Filing Info

  • Accession Number: 01005588
  • Record Type: Publication
  • Source Agency: UC Berkeley Transportation Library
  • Files: BTRIS, TRIS
  • Created Date: Oct 19 2005 2:03PM