Analysis of Positive Systems With Input Saturation: Invariant Hyperpyramids and Hyperrectangles
成果类型:
Article
署名作者:
Shen, Jun; Lam, James
署名单位:
Nanjing University of Aeronautics & Astronautics; University of Hong Kong
刊物名称:
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
ISSN/ISSBN:
0018-9286
DOI:
10.1109/TAC.2021.3088810
发表日期:
2022
页码:
3005-3012
关键词:
Lyapunov methods
trajectory
Linear systems
Level set
Symmetric matrices
shape
Ellipsoids
input saturation
invariant set
positive systems
摘要:
This article addresses the problem of estimating the domain of attraction of positive systems under a saturated linear feedback. Compared with the analysis of general saturated linear systems, one remarkable difference is that only the domain of attraction inside the first orthant is of interest. Hence, we tackle this problem by exploiting different shapes of invariant sets confined in the first orthant, including hyperpyramids and hyperrectangles, which are, respectively, the level sets of sum-separable and max-separable Lyapunov functions. For an open-loop positive system, a sufficient condition is given to ensure that a pyramid (or a hyperrectangle) is contractively invariant for the closed loop. This condition is nonconservative for the single-input case. Moreover, for a system without open-loop positivity, we establish conditions such that the closed loop has a hyperrectangular invariant set. Examples show the superiority of the results, in comparison with those existing ones using invariant ellipsoids.
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