Model predictive tracking control for Wiener model using Dynamic output feedback

Sangun Kim; Sangchul Won

doi:10.11499/sicep.2004.0_9_2

SICE Annual Conference 2004

DOI https://doi.org/10.11499/sicep.2004.0_9_2

Conference information

Host: The Society of Instrument and Control Engineers

Co-host: The IEEE Industrial Electronics Society, The IEEE Robotics and Automation Society, The IEEE Control Systems Society, The IEEE Systems, Man and Cybernetics Society, The Instrumentation, Systems, and Automation Society

Model predictive tracking control for Wiener model using Dynamic output feedback

*Sangun Kim, Sangchul Won

Author information

Keywords: MPC

CONFERENCE PROCEEDINGS FREE ACCESS

Pages 9

Details

Abstract

We propose a model predictive tracking control for wiener models using dynamic output feedback and adopt the Norquay's Wiener model predictive control algorithms for static output nonlinearity of the wiener model. We developed wiener model for air separation plant using subspace identification and applied to proposed control scheme.

Corresponding author

Register with J-STAGE for free!