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ZJUS-A
Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering)  2002, Vol. 3 Issue (4): 418-425    DOI: 10.1631/jzus.2002.0418
Industrial Control Technology     
Robust predictive control of uncertain intergrating linear systems with input constraints
ZHANG Liang-jun, LI Jiang, SONG Zhi-huan, LI Ping
Institute of Industrial Process Control, Zhejiang University, Hangzhou 310027, China
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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     
Received: 03 July 2001     
CLC:  TP13  
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LI Jiang
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ZHANG Liang-jun, LI Jiang, SONG Zhi-huan, LI Ping. Robust predictive control of uncertain intergrating linear systems with input constraints. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2002, 3(4): 418-425.

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http://www.zjujournals.com/xueshu/zjus-a/10.1631/jzus.2002.0418     OR     http://www.zjujournals.com/xueshu/zjus-a/Y2002/V3/I4/418

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