On output stabilizations problem for linear continuous systems by a neurocontroller

S. V. Tokmakov

Ulyanovsk State University

Abstract: In this paper, we study the capabilities of artificial neural networks in solving the problem of stabilizing the equilibrium position of a linear second-order differential system (in particular, of a mechanical system) by control depending on the retarded values of the output vector. A “half” of the state coordinates of the system (excluding the first derivatives) are used as the output vector. Using the model of an inverted pendulum on a cart as an example, the constructed control is compared with other types of controls.

Keywords: artificial neural network, output control, second order linear differential system.

UDC: 517.929.4:517.977

Received: 14.11.2018
Revised: 06.12.2018

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