Robust learning-based MPC for nonlinear constrained systems
This paper presents a robust learning-based predictive control strategy for nonlinear systems subject to both input and output constraints, under the assumption that the model function is not known a priori and only input–output data are available. The proposed controller is obtained using a nonpara...
| Main Authors: | , , , |
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| Format: | Journal article |
| Jezik: | English |
| Izdano: |
Elsevier
2020
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