Title :
Design of state feedback for large-scale multivariable systems
Author_Institution :
Northeastern University, Boston, Massachusetts
Abstract :
This paper presents a general method which reduces the computational requirements in the state feedback design of large-scale multivariable systems. The given system is first transformed into a general block canonical form by using simple equivalent transformation. The state feedback problem is then reformulated in terms of a Lyapunov type of equation. Finally, the transformed system matrices along with certain assumed block forms for unknown matrices enable the Lyapunov equation to be decomposed and solved effectively.
Keywords :
Control systems; Controllability; Eigenvalues and eigenfunctions; Equations; Large-scale systems; Linear systems; MIMO; Matrix decomposition; State feedback; Transforms;
Conference_Titel :
Decision and Control, 1986 25th IEEE Conference on
Conference_Location :
Athens, Greece
DOI :
10.1109/CDC.1986.267270