Title :
A minimization algorithm for the design of linear multivariable systems
Author :
Wang, Shih-Ho ; Davison, Edward J.
Author_Institution :
University of Toronto, Toronto, Ontario, Canada
fDate :
6/1/1973 12:00:00 AM
Abstract :
A new algorithm for the design of linear multivariable systems is presented. This algorithm constructs a set of minimal-order (McMillan degree) solutions to a proper rational matrix equation. The algorithm has direct application in exact model matching, inverse systems, and dynamic observers. In particular, application of the algorithm is made to the construction of a minimal-order inverse system.
Keywords :
Inverse systems; Minimal realizations; Observers; Polynomial matrices; Transfer function matrices; Algorithm design and analysis; Artificial intelligence; Design methodology; Equations; Inverse problems; MIMO; Minimization methods; Observability; Polynomials; State estimation;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.1973.1100283
