Acta Mechanica Slovaca 2010, 14(1):54-63 | DOI: 10.2478/v10147-011-0007-y

Adaptive Control of Non-linear System Using Neural Network

Ivan Taufer1, Oldřich Drábek2
1 Faculty Of Electronics, Moscow Power Institute
2 Higher Electrotechnical School in Prague

The paper deals with one of possible methods for control of non-linear dynamical system, namely with the adaptive neural PS controller (ANPSC). Its principle is in on-line refinement of the model system and then in the adaptive adjustment of the controller parameters. The model of the plant is realized with a two-layer feedforward neural network. The control part of the ANPSC has the structure of the classical PS controller, and it is also created in the form of the neural network (simple perceptron). The simulation calculations were performed in MATLAB.

Keywords: PS controller, adaptive control, neural network, perceptron

Published: March 31, 2010  Show citation

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Taufer, I., & Drábek, O. (2010). Adaptive Control of Non-linear System Using Neural Network. Acta Mechanica Slovaca, 14(1), 54-63. doi: 10.2478/v10147-011-0007-y
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