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Parameter estimation for coupled multivariable error models
Author(s) -
Tao Gang,
Ling Yi
Publication year - 1999
Publication title -
international journal of adaptive control and signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.73
H-Index - 66
eISSN - 1099-1115
pISSN - 0890-6327
DOI - 10.1002/(sici)1099-1115(199905)13:3<145::aid-acs536>3.0.co;2-l
Subject(s) - multivariable calculus , control theory (sociology) , computer science , estimation , estimation theory , mathematics , control engineering , algorithm , engineering , artificial intelligence , control (management) , systems engineering
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. Copyright © 1999 John Wiley & Sons, Ltd.