Title :
Coprime factor model reduction for discrete-time uncertain systems
Author_Institution :
Dept. of Electr. & Electron. Eng., Univ. of Melbourne, Melbourne, VIC, Australia
Abstract :
This paper presents a contractive coprime factor model reduction approach for discrete-time uncertain systems of LFT form with norm bounded structured uncertainty. A systematic approach is proposed for coprime factorization and contractive coprime factorization of the underlying uncertain systems. The proposed coprime factor approach overcomes the robust stability restriction on the underlying systems which is required in the balanced truncation approach. The method is based on the use of LMIs to construct the desired reduced dimension uncertain system model.
Keywords :
discrete time systems; linear matrix inequalities; stability; uncertain systems; LFT form; LMI; balanced truncation approach; contractive coprime factor model reduction; contractive coprime factorization; discrete-time uncertain systems; norm bounded structured uncertainty; reduced dimension uncertain system model; robust stability restriction; Observability; Reduced order systems; Riccati equations; Robust stability; Robustness; Uncertain systems; Uncertainty;
Conference_Titel :
Decision and Control (CDC), 2010 49th IEEE Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
978-1-4244-7745-6
DOI :
10.1109/CDC.2010.5717505