Converse Theorems for Integral Quadratic Constraints

成果类型:
Article
署名作者:
Khong, Sei Zhen; Kao, Chung-Yao
署名单位:
University of Hong Kong; National Sun Yat Sen University
刊物名称:
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
ISSN/ISSBN:
0018-9286
DOI:
10.1109/TAC.2020.3024269
发表日期:
2021
页码:
3695-3701
关键词:
Linear systems Robustness uncertainty Stability criteria Computed tomography STANDARDS integral quadratic constraints (IQCs) Passivity robust stability small gain
摘要:
A collection of converse theorems for integral quadratic constraints (IQCs) is established for linear time-invariant systems. It is demonstrated that when a system interconnected in feedback with an arbitrary system satisfying an IQC is stable, then the given system must necessarily satisfy the complementary IQC. These theorems are specialized to derive multiple versions of converse passivity results. They cover standard notions of strict passivity as well as passivity indices that characterize the tradeoffs between passivity surplus and deficit. Converse frequency-weighted small-gain and passivity theorems are also established.