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Journal of Zhejiang University SCIENCE A
ISSN 1673-565X(Print), 1862-1775(Online), Monthly
2002 Vol.3 No.4 P.418-425
Robust predictive control of uncertain intergrating linear systems with input constraints
Abstract: This paper presents a two-stage robust model predictive control (RMPC) algorithm named as IRMPC for uncertain linear integrating plants described by a state-space model with input constraints. The global convergence of the resulted closed loop system is guaranteed under mild assumption. The simulation example shows its validity and better performance than conventional Min-Max RMPC strategies.
Key words: Model predictive control, Robust control, Input constraints, Convex programming
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DOI:
10.1631/jzus.2002.0418
CLC number:
TP13
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2024-08-27
Received:
2023-10-17
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2024-05-08
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