State estimation of state-dependent delay systems based on discretized switching model

Kenichi Katoh, Akiyuki Kawaguchi, Kentaro Hirata

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

Abstract

In this paper, we focus on a position control system. In the system, an object moves along a line and regulates its position according to the distance measured by the signal reflection. The signal emitted from the object at a speed is reflected by the obstacle and detected by the object. Then the traveling time of the signal strictly depends on the emission and detection position of the object. How to estimate the current position and the speed from the traveling time is the main issue of this paper. This system is formulated as a state-dependent delay system. We then first represent the system as a discrete-time linear parameter varying system. Based on the fuzzy control theory, we can design a gain-scheduled observer. From some simulation results, we show the effectiveness of the method.

Original languageEnglish
Title of host publicationProceedings - 2013 IEEE International Conference on Industrial Technology, ICIT 2013
Pages199-203
Number of pages5
DOIs
Publication statusPublished - May 15 2013
Externally publishedYes
Event2013 IEEE International Conference on Industrial Technology, ICIT 2013 - Cape Town, South Africa
Duration: Feb 25 2013Feb 28 2013

Publication series

NameProceedings of the IEEE International Conference on Industrial Technology

Other

Other2013 IEEE International Conference on Industrial Technology, ICIT 2013
CountrySouth Africa
CityCape Town
Period2/25/132/28/13

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering

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  • Cite this

    Katoh, K., Kawaguchi, A., & Hirata, K. (2013). State estimation of state-dependent delay systems based on discretized switching model. In Proceedings - 2013 IEEE International Conference on Industrial Technology, ICIT 2013 (pp. 199-203). [6505672] (Proceedings of the IEEE International Conference on Industrial Technology). https://doi.org/10.1109/ICIT.2013.6505672