Application of off-line model predictive control to pneumatic systems

Yuji Hayasaki, Shingo Nakashima, Yuji Wakasa, Yoshiki Mizukami, Kanya Tanaka

Research output: Contribution to journalConference article


Pneumatic systems usually have not only nonlinearity but also hard limits on the control input and output. To cope with these property and constraints, an off-line model predictive control method is applied to a pneumatic system. Unlike standard model predictive control methods, this method can deal with systems that have relatively fast dynamics because the on-line computation is reduced by computing a sequence of feedback gains in advance. Experimental results show the effectiveness of the control method.

Original languageEnglish
Pages (from-to)813-818
Number of pages6
JournalIFAC Proceedings Volumes (IFAC-PapersOnline)
Issue number12
Publication statusPublished - 1 Jan 2004
Event2004 IFAC Workshop on Adaptation and Learning in Control and Signal Processing, ALCOSP 2004 and IFAC Workshop on Periodic Control Systems, PSYCO 2004 - Yokohama, Japan
Duration: 30 Aug 20041 Sep 2004



  • Linear matrix inequality
  • Model predictive control
  • Pneumatic systems

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