Title :
Structure and factorization of quadratic constraints for robustness analysis
Author_Institution :
Imperial Coll. of Sci., Technol. & Med., London, UK
Abstract :
This paper extends and generalizes the preliminary results of Goh and Safonov (1995), linking the integral quadratic constraint (IQC) approach for robust analysis to previous work on generalized sectors, dissipativity and J-spectral factorization/indefinite scalar products. The emphasis is on the factorization theory associated with the fact that IQCs for robust analysis must have a J-spectral factorization ∫ -∞∞z*S* (ω)diag(I,-I)S(ω)z dω. In particular, we prove the existence of bounded and invertible conic sector type factorizations of the IQC, and also of certain rank and Riccati equation type restrictions on LMI based IQC-analysis methods. The implications of our results for the robustness analysis of systems with structured uncertainty are also clarified
Keywords :
Riccati equations; absolute stability; graph theory; matrix decomposition; robust control; uncertain systems; IQC; J-spectral factorization; LMI; Riccati equation; conic sector type factorizations; dissipativity; factorization; generalized sectors; indefinite scalar products; integral quadratic constraint approach; linear matrix inequalities; quadratic constraints; robustness analysis; structured uncertainty; Ear; Frequency domain analysis; Integral equations; Joining processes; Riccati equations; Robust stability; Robustness; Stability analysis; Time factors; Uncertainty;
Conference_Titel :
Decision and Control, 1996., Proceedings of the 35th IEEE Conference on
Conference_Location :
Kobe
Print_ISBN :
0-7803-3590-2
DOI :
10.1109/CDC.1996.577607