Name
Title | ||
|---|---|---|
Simulation-Guided Parameter Synthesis for Chance-Constrained Optimization of Control Systems |
Abstract | ||
|---|---|---|
We consider the problem of parameter synthesis for black-box systems whose operations are jointly influenced by a set of "tunable parameters" under the control of designers, and a set of uncontrollable stochastic parameters. The goal is to find values of the tunable parameters that ensure the satisfaction of given performance requirements with a high probability. Such problems are common in robust system design, including feedback controllers, biomedical devices, and many others. These can be naturally cast as chance-constrained optimization problems, which however, are hard to solve precisely. We present a simulation-based approach that provides a piecewise approximation of a certain quantile function for the responses of interest. Using the piecewise approximations as objective functions, a collection of local optima are estimated, from which a global search based on simulated annealing is performed. The search yields tunable parameter values at which the performance requirements are satisfied with a high probability, despite variations in the stochastic parameters. Our approach is applied to three benchmarks: an insulin infusion pump model for type-1 diabetic patients, a robust flight control problem for fixed-wing aircrafts, and an ODE-based apoptosis model from system biology.
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Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/ICCAD.2015.7372572 | International Conference on Computer-Aided Design |
Keywords | Field | DocType |
simulation-guided parameter synthesis,chance-constrained optimization,control systems,black-box systems,tunable parameters,uncontrollable stochastic parameters,robust system design,simulation-based approach,quantile function,piecewise approximation | Simulated annealing,Stochastic optimization,Mathematical optimization,Computer science,Local optimum,Electronic engineering,Stochastic programming,Stochastic approximation,Optimization problem,Piecewise,Constrained optimization | Conference |
ISSN | ISBN | Citations |
1933-7760 | 978-1-4673-8389-9 | 0 |
PageRank | References | Authors |
0.34 | 14 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yan Zhang | 1 | 41 | 3.53 |
| Sriram Sankaranarayanan | 2 | 833 | 44.04 |
| Benjamin M. Gyori | 3 | 6 | 3.60 |