A multi-objective predictive control method for model mismatch

Hong Yan Shi, Liang Wang, Guo Gang Wang

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

Abstract

In this paper, a multi-objective predictive control method was presented for model mismatch of nonlinear system. Predictive control was restored to multi-objective control, then more Pareto solutions were obtained and pseudo-weighted vector were computed by using multi-objective particle swarm optimization algorithm. Finally, the model error probability distribution was used to select the optimal solution as a control input for controlling object. Proposed three control performance index, that smoothness index, the average error index and quadratic performance index, based on three index a nonlinear system was simulated. Results show that when the nonlinear system model mismatch, the multi-objective predictive control performance better, and a good control effect was achieved.

Original languageEnglish
Title of host publicationProceedings of the 31st Chinese Control Conference, CCC 2012
Pages4207-4211
Number of pages5
StatePublished - 2012
Externally publishedYes
Event31st Chinese Control Conference, CCC 2012 - Hefei, China
Duration: 25 Jul 201227 Jul 2012

Publication series

NameChinese Control Conference, CCC
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference31st Chinese Control Conference, CCC 2012
Country/TerritoryChina
CityHefei
Period25/07/1227/07/12

Keywords

  • Model Mismatch
  • Multi-Objective Particle Swarm Optimization
  • Multi-Objective Predictive Control
  • Nonlinear

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