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Multilevel Lattice Piecewise Linear Representation and Its Application in Explicit Predictive Control

  • Harbin Institute of Technology

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

Abstract

This paper presents an simple and easy to implement representation for the piecewise linear model. To accomplish this, an optimized lattice piecewise-linear representation is proposed. The optimization process is based on irredundant simplification and multilevel logic optimization. A heuristic algorithm is used to obtain the multilevel form of lattice piecewise linear representations. Besides, a multi-layer network structure is proposed for the implementation of lattice piecewise linear representations. The proposed strategy is applied to explicit model predictive control and the simulation result shows the effectiveness of the multilevel optimization method.

Original languageEnglish
Title of host publication2019 12th Asian Control Conference, ASCC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1066-1071
Number of pages6
ISBN (Electronic)9784888983006
StatePublished - Jun 2019
Event12th Asian Control Conference, ASCC 2019 - Kitakyushu-shi, Japan
Duration: 9 Jun 201912 Jun 2019

Publication series

Name2019 12th Asian Control Conference, ASCC 2019

Conference

Conference12th Asian Control Conference, ASCC 2019
Country/TerritoryJapan
CityKitakyushu-shi
Period9/06/1912/06/19

Keywords

  • Lattice piecewise-linear representations
  • explicit predictive control
  • factored form
  • multi-layer network

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