Identification Of Continuous-time MIMO Systems From Noisy Data

Autor: S. Gangopadhyay, K.B. Datta
Rok vydání: 2005
Předmět:
Zdroj: TENCON '91. Region 10 International Conference on EC3-Energy, Computer, Communication and Control Systems.
Popis: Two algorithms for the identification of linear time-invariant multivariable continuous-time systems with input and noisy output data are presented in this paper. Orthogonal transformations like Householder transformations and plane rotations are used and the system is identified in the form of a state-variable model.
Databáze: OpenAIRE