A model predictive control approach to networked systems

Guofeng Zhang, Xiang Chen, Tongwen Chen

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

11 Citations (Scopus)

Abstract

This paper addresses the problem of controller design for networked control systems regulated by a network data transmission scheme proposed in [23]. The plant under the transmission constraint is first formulated as a mixed logical dynamical system, then model predictive control (MPC) based on the mixed-integer programming is applied to derive the controller. It is shown that the non-convexity feature of this class of networked control systems rules out piecewise affine controllers that are designable for linear convex problems. Nevertheless, controller design is still feasible due to the special nature of the data transmission strategy, i.e., only a small number of logic values is involved. An example is given to illustrate the strength of the proposed approach.
Original languageEnglish
Title of host publicationProceedings of the 46th IEEE Conference on Decision and Control 2007, CDC
Pages3339-3344
Number of pages6
DOIs
Publication statusPublished - 1 Dec 2007
Externally publishedYes
Event46th IEEE Conference on Decision and Control 2007, CDC - New Orleans, LA, United States
Duration: 12 Dec 200714 Dec 2007

Conference

Conference46th IEEE Conference on Decision and Control 2007, CDC
CountryUnited States
CityNew Orleans, LA
Period12/12/0714/12/07

Keywords

  • Hybrid systems
  • Mixed logical dynamical systems
  • Model predictive control
  • Networked control systems
  • Non-convex mixed-integer programming

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Safety, Risk, Reliability and Quality
  • Chemical Health and Safety

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