Linear model predictive control with lifted bilinear models by Koopman-based approach
This study proposes a linear Model Predictive Control (MPC) method that combines high prediction accuracy with low computational cost, using a lifted bilinear model based on Koopman theory. In recent years, there has been a growing interest in approaches to learning prediction models that determine...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2022-06-01
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| Series: | SICE Journal of Control, Measurement, and System Integration |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/18824889.2022.2104006 |