MPC for Sampled-Data Linear Systems: Guaranteeing Constraint Satisfaction in Continuous Time

P. Sopasakis, P. Patrinos, H. Sarimveis

Research output: Contribution to journalArticle

11 Citations (Scopus)
Original languageUndefined/Unknown
Pages (from-to)1088-1093
Number of pages6
JournalIEEE Transactions on Automatic Control
Volume59
Issue number4
DOIs
Publication statusPublished - 01 Apr 2014

Keywords

  • approximation theory
  • asymptotic stability
  • constraint satisfaction problems
  • continuous time systems
  • control system synthesis
  • linear programming
  • linear systems
  • predictive control
  • quadratic programming
  • sampled data systems
  • sampled-data linear systems
  • constraint satisfaction
  • model predictive controllers
  • MPC
  • intersample period
  • polytopic inclusions
  • continuous trajectory
  • linearly constrained quadratic optimization problem
  • continuous time asymptotic stability
  • continuous-time positive invariance
  • reformulated problem
  • polytopic overapproximation
  • Optimization
  • Predictive control
  • Trajectory
  • Prediction algorithms
  • Convergence
  • Closed loop systems
  • Asymptotic stability
  • Continuous invariance
  • model predictive control
  • sampled data

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