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Linear Polytopic Positive Invariance
DOI:10.1109/tac.2026.3660173.png)
摘要
En 中文
This article revisits verification of positive invariance for polytopic sets with respect to linear dynamics. The existing necessary and sufficient conditions are applicable only to fixed candidate polytopic sets. This article derives alternative necessary and sufficient conditions for two main representations of polytopic sets. These novel necessary and sufficient conditions are derived by utilizing the Minkowski function in primal setting and the support function in dual setting. Developed results enable direct positive invariance verification of fixed candidate polytopic sets, as well as enhanced positive invariance verification allowing for a structurally constrained redesign of candidate polytopic sets. The established necessary and sufficient conditions admit algebraic reformulations as feasibility checks of numerically appealing systems of affine inequalities and equalities indicating strongly their high numerical potential.
Keyword:
Duality
Minkowski function
positive invariance
support function
期刊
IF:
7
论文数:
1.3W
被引数:
6.7W
机构
引用论文
Robust model predictive control of constrained linear systems with bounded disturbances有界扰动约束线性系统的鲁棒模型预测控制
AUTOMATICA
IF5.9

