A review on the artificial neural network applications for small‐signal modeling of microwave FETs

Z Marinković, G Crupi, A Caddemi… - … Journal of Numerical …, 2020 - Wiley Online Library
The purpose of this paper is to provide a comprehensive overview of the field‐effect
transistor (FET) small‐signal modeling using artificial neural networks (ANNs). To gain an in …

Simulation and automated modeling of microwave circuits: State-of-the-art and emerging trends

QJ Zhang, E Gad, B Nouri, W Na… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
Microwave modeling and simulation are essential to designing microwave circuits and
systems. Although fundamental concepts and approaches for modeling and simulation are …

Advanced RF and microwave design optimization: A journey and a vision of future trends

JE Rayas-Sánchez, S Koziel… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
In this paper, we outline the historical evolution of RF and microwave design optimization
and envisage imminent and future challenges that will be addressed by the next generation …

Power in simplicity with ASM: Tracing the aggressive space mapping algorithm over two decades of development and engineering applications

JE Rayas-Sanchez - IEEE Microwave Magazine, 2016 - ieeexplore.ieee.org
The most widely used space mapping approach to efficient design optimization is the
aggressive space mapping (ASM) algorithm. My purpose here is to present both a historical …

A Unified Automated Parametric Modeling Algorithm Using Knowledge-Based Neural Network and Optimization

W Na, F Feng, C Zhang… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Knowledge-based neural network modeling techniques using space-mapping concept have
been demonstrated in the existing literature as efficient methods to overcome the accuracy …

Robust microwave design optimization using adjoint sensitivity and trust regions

S Koziel, F Mosler, S Reitzinger… - International Journal of …, 2012 - Wiley Online Library
A robust algorithm for simulation‐driven design optimization of microwave structures
evaluated using CST MICROWAVE STUDIO® is described. The algorithm exploits gradient …

An early history of optimization technology for automated design of microwave circuits

JW Bandler, JE Rayas-Sánchez - IEEE Journal of Microwaves, 2022 - ieeexplore.ieee.org
This paper outlines the early history of optimization technology for the design of microwave
circuits—a personal journey filled with aspirations, academic contributions, and commercial …

Rapid design optimization of antennas using space mapping and response surface approximation models

S Koziel, S Ogurtsov - … Journal of RF and Microwave Computer …, 2011 - Wiley Online Library
A computationally efficient method for design optimization of antennas is discussed. It
combines space mapping, used as the optimization engine, and response surface …

Recent advances in parametric modeling of microwave components using combined neural network and transfer function

F Feng, J Zhang, W Zhang, Z Zhao… - … Journal of Numerical …, 2020 - Wiley Online Library
Parametric modeling of electromagnetic (EM) behaviors has become important for EM
design optimizations of microwave components. This paper provides an overview of recent …

Microwave Modeling and Design Optimization: The Legacy of John Bandler

JE Rayas-Sánchez, QJ Zhang… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
In this article, we honor Prof. John W. Bandler and his legacy in RF and microwave modeling
and automated design optimization. We showcase his pioneering breakthroughs in minimax …