Reduced order model predictive control - an approach based on system decomposition -

Naoyuki Hara Naoyuki Hara,Akira Kojima Akira Kojima

doi:10.1109/sice.2007.4421358

Reduced order model predictive control - an approach based on system decomposition -

Naoyuki Hara Naoyuki Hara, Akira Kojima Akira Kojima

https://doi.org/10.1109/sice.2007.4421358

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Publication Date: Sep 1, 2007

Citations: 9

Affiliation: Tokyo Metropolitan University

#Reduced Order Model Predictive Control #Model Predictive Control + Show 8 more

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Abstract

This paper considers a reduced order model predictive control (MPC) method for constrained discrete-time linear systems. By employing a system decomposition technique for discrete-time linear systems, a reduced order MPC law is derived. The MPC law is improved in terms of control performance and feasibility of the associated optimization problem.

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