A predictive control strategy for norm-bounded LPV discrete-time systems with bounded rates of parameter change

被引：9
|
作者：
Casavola, Alessandro [1 ]
Famularo, Domenico [2 ]
Franze, Giuseppe [1 ]
机构：
[1] Univ Calabria, DEIS, I-87036 Arcavacata Di Rende, CS, Italy
[2] Univ Reggio Calabria, DIMET, I-89133 Reggio Di Calabria, Italy
来源：
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL | 2008年 / 18卷 / 07期
关键词：
model predictive control; linear parameter varying systems; norm-bounded uncertainty; S-procedure; LMIs;
D O I：
10.1002/rnc.1260
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 novel predictive control strategy for input-saturated norm-bounded linear parameter varying discrete-time systems is proposed. The solution is computed by minimizing an upper bound to the 'worst-case' infinite horizon quadratic cost under the constraint of steering the future state evolutions, emanating from the current state, into a feasible and positive invariant set. It will be shown that the 'size' of this terminal set depends on the rate of change of the scheduling parameter, which is assumed to be bounded and measurable. Copyright (c) 2007 John Wiley & Sons, Ltd.
引用
收藏
页码：714 / 740
页数：27
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