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Recursive estimation of the parameters of linear multivariable systems |
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| Authors: | NK Sinha YH Kwong |
| Affiliation: | 1. Group on Simulation, Optimization & Control, Faculty of Engineering, McMaster University, Hamilton, Ontario, Canada L8S 4L7;2. Y. H. Kwong, Algoma Steel Company, Sault Ste. Marie, Ontario, Canada |
| Abstract: | A recursive algorithm is proposed for the identification of linear multivariable systems. Utilization of a canonical state space model minimizes the number of parameters to be estimated. The problem of identification in the presence of noise is solved by using a recursive generalized least-squares method. |
| Keywords: | Discrete-time systems identification least squares approximations linear systems parameter estimation sampled data systems state-space methods |
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