Piece-wise constant predictive feedback control of nonlinear systems

Antonios Armaou, Armin Ataei

Research output: Contribution to journalArticle

15 Scopus citations

Abstract

We investigate the problem of receding horizon control for a class of nonlinear processes. A computationally efficient method is developed to identify the optimal control action with respect to predefined performance criteria. Using Carleman linearization and assuming piece-wise constant control action, the state vector is discretized explicitly in time. The optimal control problem is then reformulated as a nonlinear optimization problem and is efficiently solved using analytically computed sensitivity functions and standard gradient-based algorithms.

Original languageEnglish (US)
Pages (from-to)326-335
Number of pages10
JournalJournal of Process Control
Volume24
Issue number4
DOIs
StatePublished - Apr 1 2014

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Modeling and Simulation
  • Computer Science Applications
  • Industrial and Manufacturing Engineering

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