In this paper, we introduce a framework for derivative-free robust optimization based on the use of an efficient derivative-free optimization routine for mixed integer nonlinear problems. The proposed framework is employed to find a robust optimal design of a particular integrated circuit (namely a DC-DC converter commonly used in portable electronic devices). The proposed robust optimization a...

Today, FE-simulation of forming process has become an integral part for assessing and evaluating forming processes. The optimization, i.e. improvement of product characteristics, has been an integral part of forming simulation based virtual product development for several years now. On the other hand, the robustness of forming processes is becoming more and more focused on recently. Therefore t...

The performance requirements and deadlines in analog IC design are becoming more and more difficult to satisfy. Robust design produces circuits that fullfill the design requirements in several different operating environments and under the influence of manufacturing process variations. Generally designers use computers only for evaluating the circuit. A method based on the robust design process...

Robust design optimization methods applied to real life problem face some major difficulties: how to deal with the estimation of probability densities when data are sparse, how to cope with high dimensional problems and how to use valuable information in the form of unformalized expert knowledge. In this paper we introduce in detail the clouds formalism as means to process available uncertainty...

This article presents ConVex optimization-based Stochastic steady-state Tracking Error Minimization (CV-STEM), a new state feedback control framework for class of Itô stochastic nonlinear systems and Lagrangian systems. Its innovation lies in computing the input by an optimal contraction metric, which greedily minimizes upper bound mean squared tracking error system trajectories. Although probl...