Title :
State space decompositions for linear singularly perturbed systems
Author_Institution :
Drexel University, Philadelphia, Pennsylvania
Abstract :
A class of state space decompositions is proposed for the study of linear signularly perturbed systems. These decompositions transform the original state space model into models which possess special structures. A few of these special models are presented in this paper and methods to construct the remaining one are given.
Keywords :
Chemical processes; Eigenvalues and eigenfunctions; Feedback; Image analysis; Kinetic theory; Matrix decomposition; Mechanical engineering; Perturbation methods; Reduced order systems; State-space methods;
Conference_Titel :
Decision and Control, 1982 21st IEEE Conference on
Conference_Location :
Orlando, FL, USA
DOI :
10.1109/CDC.1982.268317
