Title :
Recent developments in large-scale and parallel matrix computations and their applications to linear control problems
Author :
Datta, Biswa Nath
Author_Institution :
Northern Illinois Univ., DeKalb, IL, USA
Abstract :
An overview of some of the existing important Krylov subspace methods that have been developed in the last few years for large-scale solutions of control problems, is given. These algorithms are suitable for large and sparse problems. Also included is a statement of a parallel-block algorithm for the Sylvester-observer matrix equation, suitable for high-performance computing. This is an emerging area of research. A need for an urgent and expanded research in the area of large-scale and parallel computations in control has been outlined in the NSF panel report (1988)
Keywords :
large-scale systems; linear systems; matrix algebra; observers; parallel algorithms; Krylov subspace methods; Sylvester-observer matrix equation; high-performance computing; large-scale matrix computations; large-scale solutions; linear control problems; parallel matrix computations; parallel-block algorithm; Books; Computer applications; Concurrent computing; Eigenvalues and eigenfunctions; High performance computing; Large-scale systems; Linear systems; Parallel algorithms; Sparse matrices; Symmetric matrices;
Conference_Titel :
Decision and Control, 1994., Proceedings of the 33rd IEEE Conference on
Conference_Location :
Lake Buena Vista, FL
Print_ISBN :
0-7803-1968-0
DOI :
10.1109/CDC.1994.410887
