Iterative Hybrid Identification of Spatial Bilinear Models in the Presence of Uncertainty

James E. Trollope, Keith J. Burnham

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

Abstract

This paper introduces the concept of a novel spatial model identification procedure which makes use of a hybrid combination of two algorithms implemented in an iterative manner. The approach is shown to provide effective results in the presence of uncertainty and absence of an ideal quantity of data. The potential practicability of the approach is highlighted in the context of the development of active control of collision energy absorption
Original languageEnglish
Title of host publicationAdvances in Intelligent Systems and Computing: Proceedings of the Twenty-Third International Conference on Systems Engineering
EditorsHenry Selvaraj, Dawid Zydek, Grzegorz Chmaj
PublisherSpringer Verlag
Pages769-773
Number of pages5
Volume1089
ISBN (Electronic)978-3-319-08422-0
ISBN (Print)978-3-319-08421-3
DOIs
Publication statusPublished - 2015

Bibliographical note

This paper is not available on the repository. The paper was given at the 23rd International Conference on Systems Engineering, ICSEng 2014; Las Vegas, NV; United States; 19 August 2014 through 21 August 2014

Keywords

  • active control
  • bilinear modelling
  • energy absorption
  • mathematical model
  • quasi-static spatial model

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    Trollope, J. E., & Burnham, K. J. (2015). Iterative Hybrid Identification of Spatial Bilinear Models in the Presence of Uncertainty. In H. Selvaraj, D. Zydek, & G. Chmaj (Eds.), Advances in Intelligent Systems and Computing: Proceedings of the Twenty-Third International Conference on Systems Engineering (Vol. 1089, pp. 769-773). Springer Verlag. https://doi.org/10.1007/978-3-319-08422-0_111