Nonlinear stability-constrained model predictive control with input and state constraints

被引：0
|
作者：
Cheng, X [1 ]
Krogh, BH [1 ]
机构：
[1] Westinghouse Elect Corp, Proc Control Div, Pittsburgh, PA 15238 USA
来源：
PROCEEDINGS OF THE 1998 AMERICAN CONTROL CONFERENCE, VOLS 1-6 | 1998年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In stability-constrained model predictive control (SCMPC) a stability constant is propagated from stage to stage to limit magnitude of the state vector in a controllable form. For the unconstrained case, a sufficient condition that can be easily evaluated guaranties the stability constraint is a feasible contraction mapping. This paper presents sufficient conditions for guaranteed asymptotic stability when SCMPC is applied to nonlinear systems with arbitrary constraints on the control and state.
引用
收藏
页码：1674 / 1678
页数：5
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