Neural network-based event-triggered data-driven control of disturbed nonlinear systems with quantized input
This paper is devoted to design an event-triggered data-driven control for a class of disturbed nonlinear systems with quantized input. A uniform quantizer reconstructed with decreasing quantization intervals is employed to reduce the quantization error. A neural network-based estimation strategy is...
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Published in | Neural networks Vol. 156; pp. 152 - 159 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier Ltd
01.12.2022
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Subjects | |
Online Access | Get full text |
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