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Nonlinear model predictive control using adaptive hinging hyperplanes model

  • Jun Xu*
  • , Xiaolin Huang
  • , Shuning Wang
  • *Corresponding author for this work
  • Tsinghua University

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

Abstract

This paper deals with the problem of nonlinear model predictive control using a piecewise linear predictive model: the adaptive hinging hyperplanes (AHH). The AHH model is adaptive and efficient, thus depicts the relationship of the nonlinear system very well. Thanks to the piecewise linear property of the predictive model, a series of convex quadratic programming are constructed in the controller design step. The existence of a global optimum is guaranteed and a descent search algorithm is performed to get a reasonable control sequence within the sampling interval. Simulation results are also presented to illustrate the potential of the proposed methodologies.

Original languageEnglish
Title of host publicationProceedings of the 48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2598-2603
Number of pages6
ISBN (Print)9781424438716
DOIs
StatePublished - 2009
Externally publishedYes
Event48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009 - Shanghai, China
Duration: 15 Dec 200918 Dec 2009

Publication series

NameProceedings of the IEEE Conference on Decision and Control
ISSN (Print)0743-1546
ISSN (Electronic)2576-2370

Conference

Conference48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009
Country/TerritoryChina
CityShanghai
Period15/12/0918/12/09

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