Title :
Evaluation of Model Reduction Methods of Bilinear Systems
Author_Institution :
Department of Electrical & Computer Engineering, Washington State University, Pullman, WA 99164-2210
Abstract :
Three recently proposed model reduction methods for bilinear systems (aggregation, least-square and balanced matrix methods) are compared. Relationship among these reduction methods is discussed along with computer simulation results.
Keywords :
Computer simulation; Control system synthesis; Control systems; Eigenvalues and eigenfunctions; Equations; Linear systems; Niobium; Nonlinear systems; Observability; Reduced order systems;
Conference_Titel :
American Control Conference, 1985
Conference_Location :
Boston, MA, USA
