U-model based adaptive tracking scheme for unknown MIMO bilinear systems

S. Saad Azhar Ali*, Fouad M. Al-Sunni, Muhammad Shafiq

*Corresponding author for this work

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

7 Citations (Scopus)

Abstract

Bilinear systems are attractive candidates for many dynamical processes, since they allow a significantly larger class of behaviour than linear systems, yet retain a rich theory which is closely related to the familiar theory of linear systems. A new technique for the control of unknown MIMO bilinear systems is introduced. The scheme is based on the U-model with identification based on Radial Basis Functions neural networks which is known for mapping any nonlinear function. U-Model is a control oriented model used to represent a wide range of non-linear discrete time dynamic plants. The proposed tracking scheme is presented and verified using simulation examples.

Original languageEnglish
Title of host publication2006 1st IEEE Conference on Industrial Electronics and Applications
DOIs
Publication statusPublished - 2006
Event2006 1st IEEE Conference on Industrial Electronics and Applications, ICIEA 2006 - Singapore, Singapore
Duration: May 24 2006May 26 2006

Other

Other2006 1st IEEE Conference on Industrial Electronics and Applications, ICIEA 2006
CountrySingapore
CitySingapore
Period5/24/065/26/06

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering

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    Ali, S. S. A., Al-Sunni, F. M., & Shafiq, M. (2006). U-model based adaptive tracking scheme for unknown MIMO bilinear systems. In 2006 1st IEEE Conference on Industrial Electronics and Applications [4025992] https://doi.org/10.1109/ICIEA.2006.257063