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Nonlinear feedback model predictive control for constrained Lur'e systems

  • Yeungnam University

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

Abstract

We consider a nonlinear model predictive control problem of discrete-time constrained systems with sector bounded nonlinearity. The augmented state feedback law is derived by using an Lyapunov function which consists of state and sector bounded nonlinear function. The results are further extended to terminal cost monotonicity condition for the nonlinear model predictive controller synthesis which is given in terms of a finite horizon of linear matrix inequalities (LMIs). To show the effectiveness of the proposed method, the controller is applied to a flexible link robotic arm and demonstrate the simulation results.

Original languageEnglish
Title of host publicationRecent Researches in Circuits, Systems, Control and Signals - Proceedings of the 2nd International Conference on Circuits, Systems, Control, Signals, CSCS'11
Pages126-130
Number of pages5
StatePublished - 2011
Event2nd International Conference on Circuits, Systems, Control, Signals, CSCS'11 - Prague, Czech Republic
Duration: 26 Sep 201128 Sep 2011

Publication series

NameRecent Researches in Circuits, Systems, Control and Signals - Proceedings of the 2nd International Conference on Circuits, Systems, Control, Signals, CSCS'11

Conference

Conference2nd International Conference on Circuits, Systems, Control, Signals, CSCS'11
Country/TerritoryCzech Republic
CityPrague
Period26/09/1128/09/11

Keywords

  • LMI
  • Model predictive control
  • Sector bounded nonlinear systems

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