U-model based adaptive IMC for nonlinear dynamic plants

Muhammed Shafiq, Naveed R. Butt

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

15 Citations (Scopus)

Abstract

A novel technique, involving U-model based IMC (Internal Model Control), is proposed for the adaptive control of nonlinear dynamic plants. The proposed scheme combines the robustness of the IMC and the ability of Neural Networks to identify arbitrary nonlinear functions, with the control-oriented nature of the U-model to achieve adaptive tracking of stable nonlinear plants. The proposed structure has a more general appeal than many other schemes involving polynomial NARMAX (Nonlinear Autoregressive Moving Average with Exogenous inputs) model and the Hammerstein model, etc. Additionally, the control law is shown to be more simplistic in nature. The effectiveness of the proposed scheme is demonstrated with the help of simulations for the adaptive control of the Hammerstein model.

Original languageEnglish
Title of host publicationIEEE International Conference on Emerging Technologies and Factory Automation, ETFA
Pages955-959
Number of pages5
Volume1 2 VOLS
Publication statusPublished - 2005
Event10th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2005 - Catania, Italy
Duration: Sep 19 2005Sep 22 2005

Other

Other10th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2005
CountryItaly
CityCatania
Period9/19/059/22/05

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Shafiq, M., & Butt, N. R. (2005). U-model based adaptive IMC for nonlinear dynamic plants. In IEEE International Conference on Emerging Technologies and Factory Automation, ETFA (Vol. 1 2 VOLS, pp. 955-959). [1612627]