Model predictive control for input constrained systems with time-varying delay

Research output: Contribution to journalArticlepeer-review

Abstract

This paper considers a model predictive control problem of discrete-time constrained systems with time-varying delay. For this problem, a delay dependent state feedback control approach is used to achieve asymptotic stabilization of systems with input constraints. Based on Lyapunov stability theory, a new stability condition is obtained via linear matrix inequality formulation to find cost monotonicity condition of the model predictive control algorithm which guarantee the closed loop stability. Finally, the proposed method is applied to a numerical example in order to show the effectiveness of our results.

Original languageEnglish
Pages (from-to)1019-1023
Number of pages5
JournalTransactions of the Korean Institute of Electrical Engineers
Volume61
Issue number7
DOIs
StatePublished - Jul 2012

Keywords

  • Linear matrix inequality
  • Model predictive control
  • Time-varying delay

Fingerprint

Dive into the research topics of 'Model predictive control for input constrained systems with time-varying delay'. Together they form a unique fingerprint.

Cite this