Name
Title | ||
|---|---|---|
Monte Carlo analysis of resistive networks without a priori probability distributions |
Abstract | ||
|---|---|---|
In this paper, we formulate and solve a new type of Monte Carlo problem for a resistive network. Given lower and upper bounds on the value of each resistor but no probability distribution, we consider the problem of finding the expected value for a designated gain. In view of the fact that no a priori probability distributions for the uncertain resistors are assumed, a certain type “distributional robustness” is sought. To this end, a new paradigm from the robustness literature is particularized to circuits and results are provided in this context. Some of the performance bounds obtained via this new approach differ considerably from those which result from a more conventional Monte Carlo simulation |
Year | DOI | Venue |
|---|---|---|
2000 | 10.1109/ISCAS.2000.856047 | ISCAS |
Keywords | Field | DocType |
monte carlo methods,linear network analysis,lumped parameter networks,passive networks,monte carlo analysis,designated gain,distributional robustness,expected value,resistive networks,uncertain resistors,monte carlo,probability density function,circuits,monte carlo simulation,robustness,voltage,probability distribution,resistors,writing,upper bound,uncertainty | A priori probability,Applied mathematics,Monte Carlo method,Mathematical optimization,Markov chain Monte Carlo,Computer science,Control theory,Hybrid Monte Carlo,Quasi-Monte Carlo method,Monte Carlo integration,Monte Carlo molecular modeling,Probability bounds analysis | Conference |
Volume | ISBN | Citations |
3 | 0-7803-5482-6 | 2 |
PageRank | References | Authors |
0.56 | 1 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Barmish, B.R. | 1 | 71 | 20.04 |
| Kettani, H. | 2 | 2 | 0.56 |