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A Robust MPC for Input-Output LPV Models
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DOI：10.1109/TAC.2016.2553143.png)
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摘要
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In this note, a discrete-time robust model predictive control (MPC) design approach is proposed to control systems described by linear parameter-varying models in input-output form subject to constraints. To ensure the stability of the closed-loop system, a quadratic terminal cost along with an ellipsoidal terminal constraint are included in the control optimization problem. The MPC design problem is formulated as a linear matrix inequality problem. The proposed MPC scheme is applied on a continuously stirred tank reactor as an illustrative example.
Keyword:
Linear matrix inequalities
linear parameter-varying systems
predictive control
robustness
stability
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7
论文数:
1.3W
被引数:
6.7W
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