Title :
Block algorithms for state estimation and functional observers
Author :
Datta, Biswa Nath ; Sarkissian, Daniil
Author_Institution :
Dept. of Math. Sci., Northern Illinois Univ., DeKalb, IL, USA
Abstract :
This paper presents a new block algorithm for the Sylvester-observer equation, which seems to be computationally more efficient than the Van Dooren´s algorithm and is suitable for high performance computing using LAPACK. It also presents a new algorithm for the design of functional observer in which the vector Kx(t), required in the implementation of the feedback law u(t)=Kx(t), can be directly estimated without estimating the vector x(t). Numerical examples are provided to illustrate the algorithms and results on comparison with the well-known Van Dooren´s algorithm for reduced-order state estimation are illustrated using graphs
Keywords :
control system analysis computing; eigenvalues and eigenfunctions; feedback; matrix algebra; observers; reduced order systems; LAPACK; Sylvester equation; Van Dooren algorithm; block algorithm; eigenvalues; feedback; functional observers; reduced-order system; state estimation; Algorithm design and analysis; Artificial intelligence; Differential equations; Eigenvalues and eigenfunctions; High performance computing; Observers; Output feedback; State estimation; State feedback; Uniform resource locators;
Conference_Titel :
Computer-Aided Control System Design, 2000. CACSD 2000. IEEE International Symposium on
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-6566-6
DOI :
10.1109/CACSD.2000.900180