Sustainable algorithms for synthesis of local-optimal adaptive dynamic object management systems

  • № 4-5 2018

Страницы: 

59

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62

Язык: английский

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Аннотация

Stable algorithms for the formation of control actions in local-optimal adaptive control systems for dynamic objects are given. Considering that the initial equations for estimating the parameters of an object and a control device, as a rule, are ill-conditioned, it becomes necessary to use regular methods. The stable algorithms for finding the desired solutions based on the methods of the minimum pseudoinverse matrix and singular decomposition, which contribute to improving the accuracy of the formation of control actions, are given.

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