Robust digital model predictive control for linear uncertain systems with saturations

被引：44

作者：

Hu, LS ^{[1
]}

Huang, BA

Cao, YY

机构：

[1] Shanghai Jiao Tong Univ, Dept Automat, Shanghai 200030, Peoples R China

[2] Univ Alberta, Dept Chem & Math Engn, Edmonton, AB T6G 2G6, Canada

[3] Univ Virginia, Dept Elect Engn, Charlottesville, VA 22903 USA

来源：

IEEE TRANSACTIONS ON AUTOMATIC CONTROL | 2004年 / 49卷 / 05期

关键词：

continuous-time system; digital control; model predictive control; robust control; sampled-data control; saturation; static output feedback;

D O I：

10.1109/TAC.2004.825980

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 [计算机科学与技术];

摘要：

Actuator saturation constraint is inevitable in industrial process. In this note, we consider a discrete receding horizon control, a piecewise constant robust model predictive control, for a continuous-time plant with actuator saturation constraint through a sampled-data control approach. The solution is formulated as an optimization problem subject to linear matrix inequalities. A numerical example is used to demonstrate the effectiveness of the proposed design procedure.

引用

页码：792 / 796

页数：5

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