Open AccessThe synthesis of the algorithms for adaptive control by nonlinear dynamic objects on the basis of the neural network
Author(s) -
В. Е. Болнокин,
D. I. Mutin,
E I Mutina,
S. V. Storozhev
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/537/4/042013
Subject(s) - adaptive control , nonlinear system , computer science , basis (linear algebra) , artificial neural network , adaptation (eye) , lyapunov function , control theory (sociology) , simple (philosophy) , process (computing) , stability (learning theory) , lyapunov stability , control (management) , algorithm , artificial intelligence , mathematics , machine learning , philosophy , physics , geometry , epistemology , quantum mechanics , optics , operating system
The present work is devoted to a problem of Synthesis of the algorithms for adaptive control by nonlinear dynamic objects with the incomplete mathematical description. The method of synthesis adaptive neural networks is considered on the basis of application of some positions of a method of analytical designing. The law of adaptation is defined on a condition of maintenance of stability of the closed system with the help of the second method of Lyapunov. The resulting control systems can operate in uncertain conditions caused by external and internal disturbances. The designed parameter adaptation law of the controllers admits simple implementation, thereby facilitating the on-line adaptation process.