This paper presents a new multilevel optimization algorithm for layout-aware synthesis of analog systems. The synthesis methodology integrates (1) block parameter search, (2) block placement, and (3) global interconnect routing while maintaining an accurate perspective about layout parasitic. Multilevel optimization conducts a sequence of exploration steps, in which each step uses performance m...

This study investigated the thermal protection performance of an active jet system (PRsAJ-TPS) based on a new design parameter PRs for hypersonic flight vehicles (HFVs). The is defined as relationship between flow total pressure and free behind outer bow shock. A 20° tilted nozzle employed together with to form PRsAJ-TPS. Theoretical numerical analysis performed prove advantages using PRs. conv...

This paper addresses a discussion about Unknown Input Observers (UIO) for Linear Parameter Varying (LPV) systems designed classically by using the polytopic representation. It is shown that even if the rank conditions ensuring the existence of an UIO are satisfied, the design may fail, due to the polytopic representation of the LPV system. In this paper a new design approach is proposed via a m...

We consider the design of tapers for coupling power between uniform and slowlight periodic waveguides. We describe new optimization methods for designing robust tapers, which not only perform well under nominal conditions, but also over a given set of parameter variations. When the set of parameter variations models the inevitable variations typical in the manufacture or operation of the couple...

This paper presents a new methodology for the modeling and control of power systems based on an uncertain polytopic linear parameter-varying (LPV) approach using parameter set mapping with principle component analysis (PCA). An LPV representation of the power system dynamics is generated by linearization of its differential-algebraic equations about the transient operating points for some given...

Abstract: As a result of the severe practical and ethical constraints imposed on medical measurements, the parameter estimation procedure designed for diagnosis and therapy is often a difficult problem. When blood sampling provides the data, the number of samples and the observation interval should be minimized. Designing an experiment for parameter estimation requires a step known as quantitat...

In this article we propose to introduce a new selection parameter in Genetic Algorithms (GAs) for a class of constrained reliability design problems. Our work demonstrates two major points. The first one is that the populations are quickly included in the space of the feasible solutions for a sufficiently large selection of parameter value. The second one is that the value of the selection para...