Title :
On Discrete Inner-Outer and Spectral Factorizations
Author_Institution :
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109
Abstract :
In this paper, reliable algorithms are developed to perform inner-outer, coprime, and spectral factorizations for discrete FDLTI systems. It is shown that the discrete algebraic Riccati equation plays an important role in obtaining state-space representations for all key factorizations. The implementation of algorithms can be carried out efficiently using real matrix operations.
Keywords :
Laboratories; Neural networks; Programmable logic arrays; Propulsion; Riccati equations; State feedback; Sufficient conditions;
Conference_Titel :
American Control Conference, 1988
Conference_Location :
Atlanta, Ga, USA