Authors: 
Kruglov Sergey Petrovich
Receipt date: 
20.11.2019
Section: 
1. Mathematical problems of modeling systems
Year: 
2019
Journal number: 
3(4) 2019
УДК: 
519.714
Article File: 
PDF icon kruglov_adu_inversnmodel1.pdf
Pages: 
1
10
Abstract: 

The article provides a brief synthesis of the results obtained on the use of "simplified adaptability conditions" in the construction of an adaptive control system with current parametric identification and an implicit reference model for the a priori uncertain mathematical model of the object and the influence of uncontrolled perturbations. The main results are presented for fully measurable variable states and their derivatives. Generalizations to the case of describing the mathematical model of a control object in state space have been shown previously. The described method has a number of advantages, but also disadvantages. In terms of improvement of the described method, it is proposed to use a tunable model in the recurrent algorithm of parametric identification in the form of an inverse model of the control object. This increases the stability of the closed control system on steady-state processes, as well as simplifies the algorithm for synthesizing the control law

Keywords: 
algorithm of the current identification
adaptive control
identification discrepancy
inverse model
object of control
reference model
adaptability conditions
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