Журнал «Современная Наука»

Russian (CIS)English (United Kingdom)
 MOSCOW +7(495)-142-86-81

Constructing an adaptive fuzzy neural network for solving the inverse kinematics problem of the of multilink mechanisms

Ganin P. E.  (NRU “MPEI”, Moscow)

Kobrin A. I.  (NRU “MPEI”, Moscow)

The paper considers the construction of an adaptive fuzzy neural network for a motion control system of a multi-link manipulation mechanism with a serial connection of links. It is proposed to introduce an optimality criterion based on an estimate of the reaction time and accuracy. The results of studies of the influence of network parameters on the quality of the resulting solution are presented. We consider such parameters as: the size of the training sample, the number of training epochs, the number and type of membership functions.

Keywords:inverse kinematics problem, adaptive fuzzy neural network, simulation, real-time control system.
 

Read the full article …

Citation link:
Ganin P. E., Kobrin A. I. Constructing an adaptive fuzzy neural network for solving the inverse kinematics problem of the of multilink mechanisms // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2022. -№12/2. -С. 75-82 DOI 10.37882/2223-2966.2022.12-2.13
LEGAL INFORMATION:
Reproduction of materials is permitted only for non-commercial purposes with reference to the original publication. Protected by the laws of the Russian Federation. Any violations of the law are prosecuted.
© ООО "Научные технологии"

Terms Publications

Issues of the journals (Archive)

ECONOMICS AND LAW
HUMANITIES
NATURAL AND TECHNICAL SCIENCES
COGNITION

Серия - Natural and Technical Sciences