Surrogate Modeling For High-frequency Design

Contemporary high-frequency engineering design heavily relies on full-wave electromagnetic (EM) analysis. This is primarily due to its versatility and ability to account for phenomena that are important from the point of view of system performance. Unfortunately, versatility comes at the price of a high computational cost of accurate evaluation. Consequently, utilization of simulation models in the design processes is challenging although highly desirable. The aforementioned problems can be alleviated by means of surrogate modeling techniques, the most popular of which are data-driven models. Although a large variety of methods are available, they are all affected by the curse of dimensionality. This is especially pronounced in high-frequency electronics, where typical system responses are highly nonlinear. Construction of practically useful surrogates covering wide ranges of parameters and operating conditions is a considerable challenge.Surrogate Modeling for High-Frequency Design presents a selection of works representing recent advancements in surrogate modeling and their applications to high-frequency design. Some chapters provide a review of specific topics such as neural network modeling of microwave components, while others describe recent attempts to improve existing modeling methodologies. Furthermore, the book features numerous applications of surrogate modeling methodologies to design optimization and uncertainty quantification of antenna, microwave, and analog RF circuits.
Contents:

• Preface
• About the Editors
• List of Contributors
• Acknowledgments
• Fundamentals of Data-Driven Surrogate Modeling (Slawomir Koziel and Anna Pietrenko-Dabrowska)
• Fundamentals of Physics-Based Surrogate Modeling (Anna Pietrenko-Dabrowska and Slawomir Koziel)
• Parametric Modeling of Microwave Components Using Combined Neural Network and Transfer Function (Feng Feng, Jianan Zhang, Weicong Na, Jing Jin, and Qi-Jun Zhang)
• Surrogate Model-Assisted Global Optimization for Antenna Design (Mobayode O Akinsolu, Peter Excell, and Bo Liu)
• Surrogate-Based Modeling and Design Optimization Techniques for Signal Integrity in High-Performance Computer Platforms (Francisco E Rangel-Patino and Jose E Rayas-Sanchez)
• Performance-Driven Inverse/Forward Modeling of Antennas in Variable-Thickness Domains (Slawomir Koziel and Anna Pietrenko-Dabrowska)
• Sampling Methods for Surrogate Modeling and Optimization (Qingsha S Cheng and Zhen Zhang)
• Statistical Design Centering of Microwave Systems via Space Mapping Technology and Modified Trust Region Algorithm (Abdel-Karim S O Hassan and Ahmed E Hammad H Elqenawy)
• Expedited Yield-Driven Design of High-Frequency Structures by Kriging Surrogates in Confined Domains (Anna Pietrenko-Dabrowska and Slawomir Koziel)
• Solving the Inverse Problem Through Optimization — Applications to Analog/RF IC Design (Yi Wang and Paul Franzon)
• An Automated and Adaptive Calibration of Passive Tuners Using an Advanced Modeling Technique (Maral Zyari, Francesco Ferranti, and Yves Rolain)
• Surrogate Modeling of High-Frequency Electronic Circuits (Xhesila Xhafa and Mustafa Berke Yelten)
• Sensitivity Analysis and Optimal Design with PC-co-kriging (Leifur Leifsson and Jethro Nagawkar)
• Index

Readership: Graduate students, researchers and designers in antenna engineering, microwave/RF engineering, microwave photonics, electrical engineering and mechanical engineering.
Key Features:

• Provides various surrogate modelling methodologies, practical guidelines and recommendations concerning application of the specific methods for solving practical design problems, as well as a number of setups that can be used to speed up the optimization processes even if only bits and pieces are utilized over the complete algorithms
• Contains introductory material on both data-driven and physics-based surrogate modelling, paving the path for the reader to obtain fundamental knowledge of the field
• Reviews specific aspects of surrogate modelling, including popular techniques widely applied in high-frequency electronics (e.g., neural networks, kriging interpolation, co-kriging)
• Expounds upon novel approaches in selected areas (e.g., uncertainty quantification using polynomial chaos expansion models, constrained modelling)
• Offers an overview of developments and applications of inverse modelling methods to expedited design of high-frequency structures
• Lists application case studies concerning design, statistical analysis, and yield optimization of antennas, microwave structures, active circuits, as well as analog/RF devices