Title :
Generalized balanced stochastic truncation
Author :
Green, Michael ; Anderson, Brian D O
Author_Institution :
Dept. of Electr. Eng., Imperial Coll., London, UK
Abstract :
A modification of the balanced stochastic truncation method for relative error model reduction is introduced. The method is shown to satisfy an infinity norm bound on the relative error between the full order and the reduced order models. The discrete time balanced stochastic truncation algorithm is at the heart of the new method, and a relative error bound for this algorithm is derived
Keywords :
controllability; discrete time systems; identification; balanced stochastic truncation; discrete time systems; full order models; reduced order models; relative error bound; relative error model reduction; Australia; Binary search trees; Control system synthesis; Discrete time systems; Educational institutions; Frequency; H infinity control; Heart; Reduced order systems; Stochastic processes;
Conference_Titel :
Decision and Control, 1990., Proceedings of the 29th IEEE Conference on
Conference_Location :
Honolulu, HI
DOI :
10.1109/CDC.1990.203644
