Sharma, Prasun2013-11-072013-11-0720042004Source: Masters Abstracts International, Volume: 43-06, page: 2360.http://hdl.handle.net/10393/26770http://dx.doi.org/10.20381/ruor-9786The 21st century will be the information age characterized by an ever-increasing need for advanced communication systems. To reach such target, the demand for more complexity and higher performance leads to new generations of fast and accurate passive models. This thesis addresses an important aspect of high-frequency Computer Aided Design (CAD), i.e., the modeling of passive devices and interconnects in the RF/microwave frequency range where high-order electromagnetic (EM) effects are quite significant. The main objective of this thesis is the EM circuit optimization and design based on neural models. To achieve this goal efficiently, different external codes for automated data generation for neural model training of passive components and interconnects has been developed. A CAD tool for circuit topology optimization using neural models of interconnects and passives have been also introduced. It allows automatic adjustment of component and connection geometry and then provides fast estimation of overall circuit performance. A technique for including mutual coupling effects between passives in circuit design has also been proposed. It allows the usage of individual neural models in a circuit level design and optimization, providing fast estimation of the EM effects with respect to the different connecting positions.124 p.enEngineering, Electronics and Electrical.Thesis