Title :
Multivariable system identification with noisy data
Author :
Bingulac, S. ; Vanlandingham, H.F.
Author_Institution :
Bradley Dept. of Electr. Eng., Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA
Abstract :
The identification procedure presented uses input/output data to establish, not only the system order, but also the minimal number of parameters required for representation. After a development of the method, an example is presented to illustrate the relative numerical accuracy with respect to additive data noise. In the process the related problem of relative observability of system modes is discussed
Keywords :
multivariable systems; noise; observability; identification; multivariable systems; noisy data; relative observability; system modes; Additive noise; Control theory; Linear systems; MIMO; Observability; State-space methods; System identification;
Conference_Titel :
Systems, Man and Cybernetics, 1992., IEEE International Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-0720-8
DOI :
10.1109/ICSMC.1992.271716
