Fulfilling hard constraints in uncertain linear systems by reference managing

被引:89
作者
Bemporad, A
Mosca, E
机构
[1] ETH Zurich, Automat Control Lab, CH-8092 Zurich, Switzerland
[2] Univ Florence, Dipartimento Sistemi & Informat, I-50139 Florence, Italy
关键词
constraint satisfaction problems; robustness; nonlinear filters; optimization problems; reference input signals;
D O I
10.1016/S0005-1098(97)00213-6
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A method based on conceptual tools of predictive control is described for tackling tracking problems of uncertain linear systems wherein pointwise-in-time input and/or state inequality constraints are present. The method consists of adding to a primal compensated system a nonlinear device called predictive reference filter which manipulates the desired reference in order to fulfill the prescribed constraints. Provided that an admissibility condition on the initial state is satisfied, the control scheme is proved to fulfill the constraints, as well as stability and set-point tracking requirements, for all systems whose impulse/step responses lie within given uncertainty ranges. (C) 1998 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:451 / 461
页数:11
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