Power in Simplicity with ASM: Tracing the Aggressive Space Mapping Algorithm Over Two Decades of Development and Engineering Applications

Rayas‐Sánchez, José E.

doi:10.1109/mmm.2015.2514188

Cited by 108 publications

(80 citation statements)

References 90 publications

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“…It is now interesting to note that, according to equations (5) and (6) of [4], the fact that the derivatives (or Jacobian) in the LF and HF spaces are identical, implies that the socalled Broyden matrix B is, in fact, always equal to the identity matrix. This simple observation has, indeed, a very important consequence in the context of ASM techniques.…”

Section: Detailed Numerical Investigationmentioning

confidence: 99%

“…It is interesting to note that what we described verbally in the previous paragraph can also be stated in mathematical terms. To do that, we first recall that a linear mapping between X c (coarse domain) and X f (fine domain) can be written in the form [5]:…”

Section: Detailed Numerical Investigationmentioning

confidence: 99%

“…Due to its simplicity and ease of implementation, this very simple ASM concept evolved, over the years, into an extremely powerful and widely used family of optimization procedures [4]. A very large number of contributions concerning ASM can indeed be found in the technical literature in very different areas of investigation [5]. In particular, initial ASM implementations for the design of microwave filters appear in [6] and [7], where ASM is used to design inductive microwave filters with rounded corners.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

On the Alignment of Low-Fidelity and High- Fidelity Simulation Spaces for the Design of Microwave Waveguide Filters

Ossorio

Melgarejo

Boria

et al. 2018

IEEE Trans. Microwave Theory Techn.

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Ossorio-García, J.; Melgarejo-Lermas, JC.; Boria Esbert, VE.; Guglielmi, M.; Bandler, J. (2018). On the Alignment of Low-Fidelity and High-Fidelity Simulation Spaces for the Design of Microwave Waveguide Filters. IEEE Transactions on Microwave Theory and Techniques. 66(12):5183-5196. https://doi.Abstract-The objective of this paper is to advance the stateof-the-art of Aggressive Space Mapping (ASM) by demonstrating how, for resonant structures, and microwave filters in particular, an ASM based optimization procedure may converge to the desired target performance in just one step. This behavior is first justified in physical terms, using the Electromagnetic (EM) cavity perturbation theory, and is then investigated numerically. Several practical filter design demonstrations are also presented. The paper is concluded with a conceptual definition of Space Alignment in the context of ASM.

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Section: Detailed Numerical Investigationmentioning

confidence: 99%

Section: Detailed Numerical Investigationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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On the Alignment of Low-Fidelity and High- Fidelity Simulation Spaces for the Design of Microwave Waveguide Filters

Ossorio

Melgarejo

Boria

et al. 2018

IEEE Trans. Microwave Theory Techn.

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“…Here we exploit parameter extraction (PE) as an optimization problem that aims at minimizing the difference between a target response and the system response being optimized [21]. In our work, we aim at finding the input values x of the ANN model that minimize the difference between the objective function value of a faulty circuit, calculated in (1) and treated as the target, and the ANN output.…”

Section: Fault Identification By Parameter Extractionmentioning

confidence: 99%

Analog Fault Identification in RF Circuits using Artificial Neural Networks and Constrained Parameter Extraction

Viveros-Wacher

Rayas-Sanchez

2018

2018 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO)

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The increase of analog and mixed-signal circuitry in modern RF and microwave integrated circuits demands for improved analog fault diagnosis methods. While digital fault diagnosis is well established, the analog counterpart is relatively much less mature due to the intrinsic complexity in analog faults and their corresponding identification. In this work, we present an artificial neural network (ANN) modeling approach to efficiently emulate the injection of analog faults in RF circuits. The resulting meta-model is used for fault identification by applying an optimization-based process using a constrained parameter extraction formulation. The proposed methodology is illustrated by a faulty analog CMOS RF circuit.

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“…At the beginning of the space mapping concept is presented, input space mapping is introduced as the most standard space mapping methodology [25], [102]. Input space mapping focuses on reducing the misalignment between the fine and coarse models by establishing a mapping between the input spaces (e.g., design parameter spaces) of the fine and coarse models.…”

Section: Input Space Mappingmentioning

confidence: 99%

Parametric Modeling and Optimization of Electromagnetic and Multiphysics Behaviors of Microwave Components

Zhang¹

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Parametric modeling and optimization of electromagnetic (EM) and multiphysics behaviors are very essential parts of the design process of microwave components.For EM/multiphysics design, the computational cost of directly using EM/multiphysics simulator is very expensive because the simulation-driven design requires repetitive EM/multiphysics evaluations due to the adjustments of the values of design parameters. This thesis proposes new techniques to speed up the parametric modeling I would like to express my sincere appreciation to my supervisor, Prof. Qi-Jun Zhang for his professional guidance, constant support, invaluable inspiration, and suggestions throughout the research work and preparation of this thesis. His encouragement, motivation and thoughtful insights during my research made my journey in realizing my goal a memorable one. It was my honor to work under his supervision and guidance. I would also like to express my appreciation to my co-supervisor, Prof. Jianguo Ma for the encouragement and knowledgeable instruction. His professional suggestions provided a great help for me on my way pursuing my Ph.D degree. I would like to thank Tianjin University, where I have stayed for six years accomplishing my Ph.D studies. I would also like to thank Carleton University for the Cotutelle program for my Ph.D study.

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Power in Simplicity with ASM: Tracing the Aggressive Space Mapping Algorithm Over Two Decades of Development and Engineering Applications

Cited by 108 publications

References 90 publications

On the Alignment of Low-Fidelity and High- Fidelity Simulation Spaces for the Design of Microwave Waveguide Filters

On the Alignment of Low-Fidelity and High- Fidelity Simulation Spaces for the Design of Microwave Waveguide Filters

Analog Fault Identification in RF Circuits using Artificial Neural Networks and Constrained Parameter Extraction

Parametric Modeling and Optimization of Electromagnetic and Multiphysics Behaviors of Microwave Components

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