Title :
Conditions for robust stability of analog VLSI implementation of neural networks with uncertain circuit parasitics
Author :
Devanathan, R. ; Ngee, Tan Han
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore
Abstract :
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
Keywords :
VLSI; analogue circuits; neural nets; stability; active cell impedance; analog VLSI; necessary conditions; neural networks; resistive grid; robust stability; sufficient conditions; uncertain circuit parasitics; Circuit stability; Impedance; Neural networks; Neurons; Resistors; Robust stability; Sufficient conditions; Transconductance; Uncertainty; Very large scale integration;
Conference_Titel :
Neural Networks, 1991. 1991 IEEE International Joint Conference on
Print_ISBN :
0-7803-0227-3
DOI :
10.1109/IJCNN.1991.170641
