An Effective Dynamic Coarse Model for Optimization Design of LTCC RF Circuits With Aggressive Space Mapping

Wu, Ke-Li; Zhao, Yongjiu; Wang, Jie; Cheng, Mengzeng

doi:10.1109/tmtt.2003.820901

Cited by 69 publications

(28 citation statements)

References 9 publications

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“…The fundamental reason is that (6) and (7) ensure that if the trust-region radius is sufficiently small.…”

Section: Trust-region Enhanced Space-mapping Algorithmmentioning

confidence: 99%

“…Unfortunately, (6) and (7) are not necessarily satisfied by the space-mapping surrogate model. In particular, the space-mapping optimization process may get stuck at some point as the reduction of the trust-region radius does not bring any improvement to the fine model objective function, which results in termination of the algorithm.…”

Section: Trust-region Enhanced Space-mapping Algorithmmentioning

confidence: 99%

See 1 more Smart Citation

The state of the art of microwave CAD: EM-based optimization and modeling

Cheng

Koziel

Bakr

et al. 2010

Int J RF and Microwave Comp Aid Eng

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Abstract-Convergence is a well-known issue for standard space-mapping optimization algorithms. It is heavily dependent on the choice of coarse model, as well as the space-mapping transformations employed in the optimization process. One possible convergence safeguard is the trust region approach where a surrogate model is optimized in a restricted neighborhood of the current iteration point. In this paper, we demonstrate that although formal conditions for applying trust regions are not strictly satisfied for space-mapping surrogate models, the approach improves the overall performance of the space-mapping optimization process. Further improvement can be realized when approximate fine model Jacobian information is exploited in the construction of the space-mapping surrogate. A comprehensive numerical comparison between standard and trust-region-enhanced space mapping is provided using several examples of microwave design problems.Index Terms-Computer-aided design (CAD), electromagnetic (EM) optimization, microwave design, space mapping, trust-region methods.

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“…The fundamental reason is that (6) and (7) ensure that if the trust-region radius is sufficiently small.…”

Section: Trust-region Enhanced Space-mapping Algorithmmentioning

confidence: 99%

Section: Trust-region Enhanced Space-mapping Algorithmmentioning

confidence: 99%

The state of the art of microwave CAD: EM-based optimization and modeling

Cheng

Koziel

Bakr

et al. 2010

Int J RF and Microwave Comp Aid Eng

View full text Add to dashboard Cite

show abstract

“…Space mapping (SM) [6][7][8][9][10][11][12][13][14][15][16][17], tuning procedures [18][19][20][21][22], as well as various response correction methods [23,24] are examples of very efficient approaches of this kind used in microwave engineering.…”

Section: Introductionmentioning

confidence: 99%

Reliable Simulation-Driven Design Optimization of Microwave Structures Using Manifold Mapping

Koziel¹,

Ciaurri²

2010

PIER B

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Abstract-A computationally efficient surrogate-based framework for reliable simulation-driven design optimization of microwave structures is described. The key component of our algorithm is manifold mapping, a response correction technique that aligns the coarse model (computationally cheap representation of the structure under consideration) with the accurate but CPU-intensive (fine) model of the optimized device. The parameters of the manifold mapping surrogate are explicitly calculated based on the fine model data accumulated during the optimization process. Also, manifold mapping does not use any extractable parameters, which makes it easy to implement. Robustness and excellent convergence properties of the proposed algorithm are demonstrated through the design of several microwave devices including microstrip filters and a planar antenna.

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“…The concept of a dynamic coarse model combining the equivalent-circuit and coarse electromagnetic (EM) model and ap-plied to SM optimization of LTCC radio frequency (RF) circuits was presented in [4].…”

Section: Introductionmentioning

confidence: 99%

Space Mapping With Multiple Coarse Models for Optimization of Microwave Components

Koziel

Bandler

2008

IEEE Microw. Wireless Compon. Lett.

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Abstract-The performance of space mapping (SM) optimization algorithms depends primarily on the quality of the underlying coarse model. Models available in the microwave area can be cheap but inaccurate or accurate but too expensive. Here, we consider a multicoarse-model technique that allows us to combine the merits of both types of coarse models to substantially reduce the overall computational cost of optimization in comparison to traditional SM.Index Terms-Coarse model, engineering optimization, microwave design, space mapping (SM) optimization.

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An Effective Dynamic Coarse Model for Optimization Design of LTCC RF Circuits With Aggressive Space Mapping

Cited by 69 publications

References 9 publications

The state of the art of microwave CAD: EM-based optimization and modeling

The state of the art of microwave CAD: EM-based optimization and modeling

Reliable Simulation-Driven Design Optimization of Microwave Structures Using Manifold Mapping

Space Mapping With Multiple Coarse Models for Optimization of Microwave Components

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