Title :
Low-frequency robust control for singularly perturbed system
Author :
Yuan, Yuan ; Sun, Fuchun ; Liu, Huaping ; Yang, Hongjiu
Author_Institution :
Tsinghua University, People´s Republic of China
Abstract :
This study is concerned with the low-frequency (LF) integral quadratic constraints (IQC) of the linear singularly perturbed model (SPM). The conditions satisfying LF IQC are derived in terms of linear matrix inequalities by using the generalised Kalman–Yakubovich–Popov lemma. As special cases of LF IQC, LF bounded realness and LF positive realness are exploited in detail. In addition, upper bound of the small perturbation parameter, which relates to the robustness of SPM, can be estimated. Numerical simulations demonstrate that the proposed method can reduce the conservatism and characterise the SPM more specifically by ignoring the unrelated frequency range.
Keywords :
frequency control; linear matrix inequalities; linear systems; numerical analysis; robust control; singularly perturbed systems; LF IQC; LF bounded realness; LF positive realness; SPM; generalised Kalman-Yakubovich-Popov lemma; linear matrix inequalities; linear singularly perturbed model; low-frequency integral quadratic constraints; low-frequency robust control; numerical simulations; singularly perturbed system; small perturbation parameter; upper bound;
Journal_Title :
Control Theory & Applications, IET
DOI :
10.1049/iet-cta.2013.0854