Title :
Deterministic identification of linear multivariable systems
Author :
Gorti, Bhaskar M. ; Bingulac, S. ; Van Landingham, H.F.
Author_Institution :
Bradley Dept. of Electr. Eng., Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA
Abstract :
A simple computational algorithm for determining a state-space model of a MIMO (multiinput, multioutput) discrete system from input-output data is presented. The obtained state-space model is in a pseudoobservable canonical form. Unlike all other deterministic identification procedures, the approach suggested does not require structural identification, i.e., determination of a unique set of observability indices. Instead, a MIMO system can be represented in pseudoobservable canonical form on the basis of a set of admissible pseudoobservability indices
Keywords :
discrete systems; identification; linear systems; multivariable systems; observability; state-space methods; MIMO system; deterministic identification; discrete system; linear multivariable systems; observability indices; state-space model; Equations; Hydrogen; MIMO; Observability; State-space methods;
Conference_Titel :
System Theory, 1990., Twenty-Second Southeastern Symposium on
Conference_Location :
Cookeville, TN
Print_ISBN :
0-8186-2038-2
DOI :
10.1109/SSST.1990.138124
