不确定电路寄生神经网络的模拟VLSI鲁棒稳定性条件

[Proceedings] 1991 IEEE International Joint Conference on Neural Networks Pub Date : 1991-11-18 DOI:10.1109/IJCNN.1991.170641

R. Devanathan, T.H. Ngee

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引用次数: 0

摘要

神经网络的模拟VLSI实现已经在连接到电阻网格的有源细胞阻抗方面进行了建模。电阻栅格可以用标称线性分量和参数值不确定的寄生分量来表征。然后可以推导出这些系统的名义稳定性和鲁棒稳定性的充分必要条件

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Conditions for robust stability of analog VLSI implementation of neural networks with uncertain circuit parasitics

An analog VLSI implementation of neural networks has been modeled in terms of active cell impedance connected to a resistive grid. The resistive grid can be characterized in terms of the nominal linear component and the parasitic component with uncertain parametric values. Necessary and sufficient conditions for the nominal and robust stability of these systems can then be derived.<>

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[Proceedings] 1991 IEEE International Joint Conference on Neural Networks

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