The synthesis of the algorithms for adaptive control by nonlinear dynamic objects on the basis of the neural network

International Workshop "Advanced Technologies in Material Science, Mechanical and Automation Engineering – MIP: Engineering – 2019"

材料科学;机械制造;原子能学

Bolnokin, V.E.^1 ; Mutin, D.I.^1 ; Mutina, E.I.^2 ; Storozhev, S.V.^3

Mechanical Engineering Research Institute, Russian Academy of Sciences, Small Kharitonyevsky lane 4, Moscow, Russia^1

Moscow State Technological University STANKIN, Vadkovski lane 1, 127055, Russia^2

Donetsk National University, University st. DPR 24, Donetsk

283001, Ukraine^3

关键词: Adaptive Control;    Adaptive neural networks;    Closed systems;    Mathematical descriptions;    Method of Lyapunov;    On-line adaptation;    Parameter adaptation;    Uncertain condition;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/537/4/042013/pdf
DOI  :  10.1088/1757-899X/537/4/042013

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

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.