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ARPN Journal of Engineering and Applied Sciences

Synthesizing an adaptive control Singleinput-Singleoutput system for unstable and deterministic chaotic processes

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Author M. A. Beisenbi, A. A. Adilbayev, S. O. Akhmetova, M. S. Tulenbayev and A. B. Kabanbayev
e-ISSN 1819-6608
On Pages 522-529
Volume No. 18
Issue No. 05
Issue Date April 05, 2023
DOI https://doi.org/10.59018/032374
Keywords adaptive, deterministic chaos, swallow, synthesis contour, constant stability, invariant, gradient system, scalar work, catastrophe theories, static accuracy, system of inequalities, dynamic systems.


Abstract

The paper proposes a solution to the problem of synthesizing an adaptive control system from a reference model with the desired dynamics of unstable and deterministic chaotic processes in the class of “dovetail” catastrophes for single input-single output objects. The task of selecting a reference model with the desired dynamics, the synthesis of the main circuit, and the adaptation circuit are solved by the gradient-speed method of the Lyapunov vector functions. From the conditions of aperiodic robust stability of the reference model with the desired dynamics, the main control loop, and the generalized tunable object, tunable coefficients are calculated, and the control goal is achieved.

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