Multi-model one step ahead control for nonlinear system

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Two multi-model based one-step ahead predictive controller algorithms are proposed for nonlinear systems. The proposed design employ Constrained Kalman filter algorithm to interpolate the submodels/controllers and determine which model/controller pair to be used according to the operating region of the system. Thus, it maintain the performance of the controllers over a wide range of operating regions. The algorithms is independent of the submodels, hence can be applied regardless of the submodels development. Two benchmark system examples are studied to demonstrate the effectiveness of the proposed predictive controller design on tracking problems.

Original languageEnglish
Title of host publication2018 15th International Multi-Conference on Systems, Signals and Devices, SSD 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages371-379
Number of pages9
ISBN (Electronic)9781538653050
DOIs
StatePublished - 7 Dec 2018

Publication series

Name2018 15th International Multi-Conference on Systems, Signals and Devices, SSD 2018

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

  • Constrained Kalman filter
  • One step ahead predictive controller
  • interpolation
  • multi-model
  • nonlinear systems
  • operating region

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Control and Optimization
  • Instrumentation

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