Open AccessREPETITIVE ADAPTIVE CONTROL OF NONLINEAR UNCERTAIN PLANT WITH INPUT SATURATION
Author(s) -
E. A. Shelenok,
AUTHOR_ID
Publication year - 2021
Language(s) - English
DOI - 10.22250/isu.2021.70.122-135
Subject(s) - control theory (sociology) , nonlinear system , parametric statistics , adaptive control , bounded function , constant (computer programming) , saturation (graph theory) , filter (signal processing) , control (management) , mathematics , computer science , artificial intelligence , mathematical analysis , physics , statistics , quantum mechanics , combinatorics , computer vision , programming language
The article proposes solution to the problem of synthesizing adaptive control algorithm for dy-namic T-periodic nonlinear plant operating under conditions of structural and parametric uncer-tainty, in the presence of input restrictions and constant bounded disturbances. The hyperstabil-ity criterion, L-dissipativity conditions, fast-acting filter-correctors, and an implicit reference model are used as the methods for synthesis of repetitive adaptive control system.