Title
A new Monte Carlo circuit simulation paradigm with specific results for resistive networks
Abstract
In this paper, we formulate a new type of Monte Carlo problem for circuits. Spe- ciflc results are given for the class of resistive networks and open research problems are indicated for more general cases. Given lower and upper bounds on the value of each resistor but no probability distribution, we consider the problem of estimating appropriate probabilistic measures of performance. In view of the fact that no a priori probability distributions for the uncertain resistors are assumed, a certain type \dis- tributional robustness" is sought. To this end, a new paradigm from the robustness literature is particularized to these circuits. Some of the performance bounds obtained via this new approach difier considerably from those which result from a more conven- tional Monte Carlo simulation.
Year
DOI
Venue
2006
10.1109/TCSI.2006.875183
Circuits and Systems I: Regular Papers, IEEE Transactions
Keywords
Field
DocType
Monte Carlo methods,circuit simulation,network analysis,statistical distributions,Monte Carlo circuit simulation,a priori probability distributions,resistive networks,uncertain resistors,Circuit simulation,Monte Carlo methods,control theory,ladder networks,optimization,resistive circuits,robustness
A priori probability,Mathematical optimization,Monte Carlo method,Computer science,Hybrid Monte Carlo,Robustness (computer science),Probability distribution,Probabilistic logic,Monte Carlo molecular modeling,Probability bounds analysis
Journal
Volume
Issue
ISSN
53
6
1549-8328
Citations 
PageRank 
References 
8
0.72
3
Authors
2
Name
Order
Citations
PageRank
Houssain Kettani1347.45
Barmish, B.R.27120.04