DocumentCode :
2653706
Title :
Stability in a class of resistive grid networks containing active device realizations of nonlinear resistors
Author :
Standley, D.L.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., MIT, Cambridge, MA, USA
fYear :
1990
fDate :
1-3 May 1990
Firstpage :
1474
Abstract :
In the analog VLSI implementation of neural systems, it is sometimes convenient to build networks by using a locally connected on-chip resistive grid. A problem of unwanted spontaneous oscillation often arises with these circuits and renders them unusable in practice. Recent work on design criteria for such networks considers the stability of a circuit class consisting of nonlinear resistors, nonlinear capacitors, and linear driving-point impedances, all of which are two-terminal elements. This study, which is an extension of earlier work, allows a more general dynamic element to be included in the network. The new element class allows modeling of the dynamics of nonlinear resistors realized with transistors; this is useful where memoryless I-V characteristic modeling is not appropriate. The extended criteria are local in the sense that no global analysis of the network is needed, and robust in the sense that unmodeled parasitic resistance and capacitance in the resistive grid do not affect the stability result
Keywords :
neural nets; nonlinear network analysis; stability criteria; active device realizations of nonlinear resistors; analog VLSI implementation of neural systems; design criteria; dynamic modelling; locally connected on-chip resistive grid; nonlinear resistors realized with transistors; resistive grid networks; Capacitors; Circuit stability; Impedance; Network-on-a-chip; Parasitic capacitance; Resistors; Robust stability; Stability criteria; System-on-a-chip; Very large scale integration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 1990., IEEE International Symposium on
Conference_Location :
New Orleans, LA
Type :
conf
DOI :
10.1109/ISCAS.1990.112411
Filename :
112411
Link To Document :
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