Subspace Predictive Control for Continuous-time Systems | Zendy

Xiaosuo Luo | Zendy

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Subspace Predictive Control for Continuous-time Systems

Author(s) -

Xiaosuo Luo

Publication year - 2015

Publication title -

international journal of control and automation

Language(s) - English

Resource type - Journals

eISSN - 2207-6387

pISSN - 2005-4297

DOI - 10.14257/ijca.2015.8.7.19

Subject(s) - model predictive control , subspace topology , control (management) , computer science , control theory (sociology) , artificial intelligence

The paper presents a model predictive control method for continuous-time systems based on subspace identification. It’s developed by reformulating the continuous-time systems using Laguerre filters to obtain the subspace prediction output. Then, the subspace predictors are derived by QR decomposition from input-output and Laguerre matrices. The subspace predictive controller is designed with the subspace predictors. The process control simulations of a fermentation bioreactor system show the effectiveness of the proposed method.

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