Duality Bounds for Discrete-Time Zames-Falb Multipliers
成果类型:
Article
署名作者:
Zhang, Jingfan; Carrasco, Joaquin; Heath, William Paul
署名单位:
University of Manchester
刊物名称:
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
ISSN/ISSBN:
0018-9286
DOI:
10.1109/TAC.2021.3095418
发表日期:
2022
页码:
3521-3528
关键词:
Machine-to-machine communications
Stability criteria
Power system stability
Numerical stability
Prediction algorithms
optimization
Linear systems
Absolute stability
duality bounds
Zames-Falb multipliers
摘要:
This note presents phase conditions under which there is no suitable Zames- Falb multiplier for a given discrete-time system. Our conditions can be seen as the discrete-time counterpart of Jonsson's duality conditions for Zames-Falb multipliers. By contrast with their continuous-time counterparts and other phase limitations in the literature, they lead to numerically efficient results that can be computed either in closed form or via a linear program. The closed-form phase limitations are tight in the sense that we can construct multipliers that meet them with equality. The numerical results allow us to conclude that the current state-of-the-art in searches for Zames-Falb multipliers is not conservative. Moreover, they allow us to show, by construction, that the set of plants for which a suitable Zames- Falb multiplier exists is nonconvex.