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초록
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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.
목차
Abstract
1. Introduction
2. Subspace Prediction Output for Continuous-Time Systems
3. Subspace Predictive Control for Continuous-Time Systems
4. Simulation Example
5. Conclusions
Acknowledgements
References
1. Introduction
2. Subspace Prediction Output for Continuous-Time Systems
3. Subspace Predictive Control for Continuous-Time Systems
4. Simulation Example
5. Conclusions
Acknowledgements
References
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자료제공 : 네이버학술정보