Two Degree-of-Freedom of Generalized Predictive Control for m-input m-output Systems Based on State Space Approach

Akira YANOU; Shiro MASUDA; Akira INOUE

doi:10.11499/sicep.2004.0_9_3

SICE Annual Conference 2004

DOI https://doi.org/10.11499/sicep.2004.0_9_3

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

Two Degree-of-Freedom of Generalized Predictive Control for m-input m-output Systems Based on State Space Approach

*Akira YANOU, Shiro MASUDA, Akira INOUE

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Keywords: Generalized predictive control, Two degree-of-freedom, State space approach

CONFERENCE PROCEEDINGS FREE ACCESS

Pages 9

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Abstract

This paper proposes a design scheme of two degree-of-freedom GPC for m-input m-output systems. The proposed method reveals the effect of the integral compensation only if there exist modeling error and/or disturbance. Therefore, performance degradation due to an integral compensation, such as a slow response or an excessive control effort, can be avoided when the controlled system has no perturbation.

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