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Parameter estimation for coupled multivariable error models

✍ Scribed by Gang Tao; Yi Ling

Publisher
John Wiley and Sons
Year
1999
Tongue
English
Weight
161 KB
Volume
13
Category
Article
ISSN
0890-6327

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✦ Synopsis

An adaptive algorithm is developed for estimating the parameters of a linear multivariable error model with coupled dynamics, using estimation errors for coupling inputs. Coupled dynamics in an error equation lead to a new type of error models which have different regressors but the same parameter error. A total cost function is used to derive a desired adaptive law for updating the parameter estimates. As an application, this algorithm is employed for control and identification of multivariable systems with actuator uncertainties.

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