Stabilization of a Flexible Inverted Pendulum via Hysteresis Control: The Bouc-Wen Approach

Семенов, Михаил Е.; Solovyov, Andrey M.; Meleshenko, Peter A.; Kanishcheva, Olesya I.

doi:10.1007/978-3-030-60694-7_17

Cited by 4 publications

(1 citation statement)

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“…When designing an ANN, this property can be reproduced by means of the hysteresis activation function (HAF). At the moment, there are a large number of mathematical models of hysteresis, which can be used to construct the HAF, for instance the Bouc-Wen model [18][19][20][21] or the S-converter model [22]. However, with regard to the hardware implementation of hysteresis in the UNC, the Preisach model [23][24][25][26][27][28] proves to be more practical, since it is the simplest and the most scalable from the point of view of finite automata theory.…”

Section: Hysteresis Activation Functionmentioning

confidence: 99%

A Model of a Universal Neural Computer with Hysteresis Dynamics for Avionics Problems

et al. 2022

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The paper proposes a method for implementing a universal neural network processor with hysteresis dynamics. This processor allows a wide range of heterogeneous tasks in real time to be performed without reprogramming and changing their internal structure. Adding hysteresis behavior to the system makes it possible to increase resistance to external influences, the complexity as well as non-linearity of intelligent output. The paper discusses the use of this processor as part of an on-board intelligent avionics system.

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