Simulation-driven design optimization and modeling for microwave engineering /:
Computer-aided full-wave electromagnetic (EM) analysis has been used in microwave engineering for the past decade. Initially, its main application area was design verification. Today, EM-simulation-driven optimization and design closure become increasingly important due to the complexity of microwav...
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Format: | Elektronisch E-Book |
Sprache: | English |
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London, UK : Singapore :
Imperial College Press ; Dist. by World Scientific,
©2013.
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Online-Zugang: | Volltext |
Zusammenfassung: | Computer-aided full-wave electromagnetic (EM) analysis has been used in microwave engineering for the past decade. Initially, its main application area was design verification. Today, EM-simulation-driven optimization and design closure become increasingly important due to the complexity of microwave structures and increasing demands for accuracy. In many situations, theoretical models of microwave structures can only be used to yield the initial designs that need to be further fine-tuned to meet given performance requirements. In addition, EM-based design is a must for a growing number of microwave devices such as ultra-wideband (UWB) antennas, dielectric resonator antennas and substrate-integrated circuits. For circuits like these, no design-ready theoretical models are available, so design improvement can only be obtained through geometry adjustments based on repetitive, time-consuming simulations. On the other hand, various interactions between microwave devices and their environment, such as feeding structures and housing, must be taken into account, and this is only possible through full-wave EM analysis. Electromagnetic simulations can be highly accurate, but they tend to be computationally expensive. Therefore, practical design optimization methods have to be computationally efficient, so that the number of CPU-intensive high-fidelity EM simulations is reduced as much as possible during the design process. For the same reasons, techniques for creating fast yet accurate models of microwave structures become crucially important. In this edited book, the authors strive to review the state-of-the-art simulation-driven microwave design optimization and modeling. A group of international experts specialized in various aspects of microwave computer-aided design summarize and review a wide range of the latest developments and real-world applications. Topics include conventional and surrogate-based design optimization techniques, methods exploiting adjoint sensitivity, simulation-based tuning, space mapping, and several modeling methodologies, such as artificial neural networks and kriging. Applications and case studies include microwave filters, antennas, substrate integrated structures and various active components and circuits. The book also contains a few introductory chapters highlighting the fundamentals of optimization and modeling, gradient-based and derivative-free algorithms, metaheuristics, and surrogate-based optimization techniques, as well as finite difference and finite element methods. |
Beschreibung: | 1 online resource (xxiii, 501 pages) : illustrations |
Bibliographie: | Includes bibliographical references and index. |
ISBN: | 1848169167 9781848169166 9781299462175 1299462170 9781848169173 1848169175 |
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245 | 0 | 0 | |a Simulation-driven design optimization and modeling for microwave engineering / |c edited by Slawomier Koziel, Xin-She Yang, Qi-Jun Zhang. |
260 | |a London, UK : |b Imperial College Press ; |a Singapore : |b Dist. by World Scientific, |c ©2013. | ||
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505 | 0 | |a 1. Introduction to optimization and gradient-based methods / Xin-She Yang and Slawomir Koziel -- 2. Derivative-free methods and metaheuristics / Xin-She Yang and Slawomir Koziel -- 3. Surrogate-based optimization / Slawomir Koziel, Leifur Leifsson, and Xin-She Yang -- 4. Space mapping / Slawomir Koziel [and others] -- 5. Tuning space mapping / Qingsha S. Cheng, John W. Bandler, and Slawomir Koziel -- 6. Robust design using knowledge-based response correction and adaptive design specifications / Slawomir Koziel, Stanislav Ogurtsov, and Leifur Leifsson -- 7. Simulation-driven design of broadband antennas using surrogate-based optimization / Slawomir Koziel and Stanislav Ogurtsov -- 8. Neural networks for radio frequency/microwave modeling / Chuan Zhang, Lei Zhang, and Qi-Jun Zhang -- 9. Parametric modeling of microwave passive components using combined neural network and transfer function / Yazi Cao, Venu-Madhav-Reddy Gongal-Reddy, and Qi-Jun Zhang -- 10. Parametric sensitivity macromodels for gradient-based optimization / Krishnan Chemmangat [and others] -- 11. Neural space mapping methods for electromagnetics-based yield estimation / José E. Rayas-Sánchez -- 12. Neural network inverse modeling for microwave filter design / Humayun Kabir [and others] -- 13. Simulation-driven design of microwave filters for space applications / Elena Díaz Caballero [and others] -- 14. Time domain adjoint sensitivities: the transmission line modeling (TLM) case / Mohamed H. Bakr and Osman S. Ahmed -- 15. Boundary conditions for two-dimensional finite-element modeling of microwave devices / Tian-Hong Loh and Christos Mias -- 16. Boundary conditions for three-dimensional finite-element modeling of microwave devices / Tian-Hong Loh and Christos Mias. | |
520 | |a Computer-aided full-wave electromagnetic (EM) analysis has been used in microwave engineering for the past decade. Initially, its main application area was design verification. Today, EM-simulation-driven optimization and design closure become increasingly important due to the complexity of microwave structures and increasing demands for accuracy. In many situations, theoretical models of microwave structures can only be used to yield the initial designs that need to be further fine-tuned to meet given performance requirements. In addition, EM-based design is a must for a growing number of microwave devices such as ultra-wideband (UWB) antennas, dielectric resonator antennas and substrate-integrated circuits. For circuits like these, no design-ready theoretical models are available, so design improvement can only be obtained through geometry adjustments based on repetitive, time-consuming simulations. On the other hand, various interactions between microwave devices and their environment, such as feeding structures and housing, must be taken into account, and this is only possible through full-wave EM analysis. Electromagnetic simulations can be highly accurate, but they tend to be computationally expensive. Therefore, practical design optimization methods have to be computationally efficient, so that the number of CPU-intensive high-fidelity EM simulations is reduced as much as possible during the design process. For the same reasons, techniques for creating fast yet accurate models of microwave structures become crucially important. In this edited book, the authors strive to review the state-of-the-art simulation-driven microwave design optimization and modeling. A group of international experts specialized in various aspects of microwave computer-aided design summarize and review a wide range of the latest developments and real-world applications. Topics include conventional and surrogate-based design optimization techniques, methods exploiting adjoint sensitivity, simulation-based tuning, space mapping, and several modeling methodologies, such as artificial neural networks and kriging. Applications and case studies include microwave filters, antennas, substrate integrated structures and various active components and circuits. The book also contains a few introductory chapters highlighting the fundamentals of optimization and modeling, gradient-based and derivative-free algorithms, metaheuristics, and surrogate-based optimization techniques, as well as finite difference and finite element methods. | ||
588 | |a Print version record. | ||
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650 | 7 | |a Impedance matching |2 fast | |
650 | 7 | |a Microwave transmission lines |2 fast | |
700 | 1 | |a Koziel, Slawomir. | |
700 | 1 | |a Yang, Xin-She. | |
700 | 1 | |a Zhang, Qi S. | |
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Datensatz im Suchindex
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adam_text | |
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author2 | Koziel, Slawomir Yang, Xin-She Zhang, Qi S. |
author2_role | |
author2_variant | s k sk x s y xsy q s z qs qsz |
author_facet | Koziel, Slawomir Yang, Xin-She Zhang, Qi S. |
author_sort | Koziel, Slawomir |
building | Verbundindex |
bvnumber | localFWS |
callnumber-first | T - Technology |
callnumber-label | TK7876 |
callnumber-raw | TK7876 .S56 2013eb |
callnumber-search | TK7876 .S56 2013eb |
callnumber-sort | TK 47876 S56 42013EB |
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contents | 1. Introduction to optimization and gradient-based methods / Xin-She Yang and Slawomir Koziel -- 2. Derivative-free methods and metaheuristics / Xin-She Yang and Slawomir Koziel -- 3. Surrogate-based optimization / Slawomir Koziel, Leifur Leifsson, and Xin-She Yang -- 4. Space mapping / Slawomir Koziel [and others] -- 5. Tuning space mapping / Qingsha S. Cheng, John W. Bandler, and Slawomir Koziel -- 6. Robust design using knowledge-based response correction and adaptive design specifications / Slawomir Koziel, Stanislav Ogurtsov, and Leifur Leifsson -- 7. Simulation-driven design of broadband antennas using surrogate-based optimization / Slawomir Koziel and Stanislav Ogurtsov -- 8. Neural networks for radio frequency/microwave modeling / Chuan Zhang, Lei Zhang, and Qi-Jun Zhang -- 9. Parametric modeling of microwave passive components using combined neural network and transfer function / Yazi Cao, Venu-Madhav-Reddy Gongal-Reddy, and Qi-Jun Zhang -- 10. Parametric sensitivity macromodels for gradient-based optimization / Krishnan Chemmangat [and others] -- 11. Neural space mapping methods for electromagnetics-based yield estimation / José E. Rayas-Sánchez -- 12. Neural network inverse modeling for microwave filter design / Humayun Kabir [and others] -- 13. Simulation-driven design of microwave filters for space applications / Elena Díaz Caballero [and others] -- 14. Time domain adjoint sensitivities: the transmission line modeling (TLM) case / Mohamed H. Bakr and Osman S. Ahmed -- 15. Boundary conditions for two-dimensional finite-element modeling of microwave devices / Tian-Hong Loh and Christos Mias -- 16. Boundary conditions for three-dimensional finite-element modeling of microwave devices / Tian-Hong Loh and Christos Mias. |
ctrlnum | (OCoLC)839386975 |
dewey-full | 621.381/3 |
dewey-hundreds | 600 - Technology (Applied sciences) |
dewey-ones | 621 - Applied physics |
dewey-raw | 621.381/3 |
dewey-search | 621.381/3 |
dewey-sort | 3621.381 13 |
dewey-tens | 620 - Engineering and allied operations |
discipline | Elektrotechnik / Elektronik / Nachrichtentechnik |
format | Electronic eBook |
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id | ZDB-4-EBA-ocn839386975 |
illustrated | Illustrated |
indexdate | 2024-11-27T13:25:18Z |
institution | BVB |
isbn | 1848169167 9781848169166 9781299462175 1299462170 9781848169173 1848169175 |
language | English |
oclc_num | 839386975 |
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publisher | Imperial College Press ; Dist. by World Scientific, |
record_format | marc |
spelling | Simulation-driven design optimization and modeling for microwave engineering / edited by Slawomier Koziel, Xin-She Yang, Qi-Jun Zhang. London, UK : Imperial College Press ; Singapore : Dist. by World Scientific, ©2013. 1 online resource (xxiii, 501 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Includes bibliographical references and index. 1. Introduction to optimization and gradient-based methods / Xin-She Yang and Slawomir Koziel -- 2. Derivative-free methods and metaheuristics / Xin-She Yang and Slawomir Koziel -- 3. Surrogate-based optimization / Slawomir Koziel, Leifur Leifsson, and Xin-She Yang -- 4. Space mapping / Slawomir Koziel [and others] -- 5. Tuning space mapping / Qingsha S. Cheng, John W. Bandler, and Slawomir Koziel -- 6. Robust design using knowledge-based response correction and adaptive design specifications / Slawomir Koziel, Stanislav Ogurtsov, and Leifur Leifsson -- 7. Simulation-driven design of broadband antennas using surrogate-based optimization / Slawomir Koziel and Stanislav Ogurtsov -- 8. Neural networks for radio frequency/microwave modeling / Chuan Zhang, Lei Zhang, and Qi-Jun Zhang -- 9. Parametric modeling of microwave passive components using combined neural network and transfer function / Yazi Cao, Venu-Madhav-Reddy Gongal-Reddy, and Qi-Jun Zhang -- 10. Parametric sensitivity macromodels for gradient-based optimization / Krishnan Chemmangat [and others] -- 11. Neural space mapping methods for electromagnetics-based yield estimation / José E. Rayas-Sánchez -- 12. Neural network inverse modeling for microwave filter design / Humayun Kabir [and others] -- 13. Simulation-driven design of microwave filters for space applications / Elena Díaz Caballero [and others] -- 14. Time domain adjoint sensitivities: the transmission line modeling (TLM) case / Mohamed H. Bakr and Osman S. Ahmed -- 15. Boundary conditions for two-dimensional finite-element modeling of microwave devices / Tian-Hong Loh and Christos Mias -- 16. Boundary conditions for three-dimensional finite-element modeling of microwave devices / Tian-Hong Loh and Christos Mias. Computer-aided full-wave electromagnetic (EM) analysis has been used in microwave engineering for the past decade. Initially, its main application area was design verification. Today, EM-simulation-driven optimization and design closure become increasingly important due to the complexity of microwave structures and increasing demands for accuracy. In many situations, theoretical models of microwave structures can only be used to yield the initial designs that need to be further fine-tuned to meet given performance requirements. In addition, EM-based design is a must for a growing number of microwave devices such as ultra-wideband (UWB) antennas, dielectric resonator antennas and substrate-integrated circuits. For circuits like these, no design-ready theoretical models are available, so design improvement can only be obtained through geometry adjustments based on repetitive, time-consuming simulations. On the other hand, various interactions between microwave devices and their environment, such as feeding structures and housing, must be taken into account, and this is only possible through full-wave EM analysis. Electromagnetic simulations can be highly accurate, but they tend to be computationally expensive. Therefore, practical design optimization methods have to be computationally efficient, so that the number of CPU-intensive high-fidelity EM simulations is reduced as much as possible during the design process. For the same reasons, techniques for creating fast yet accurate models of microwave structures become crucially important. In this edited book, the authors strive to review the state-of-the-art simulation-driven microwave design optimization and modeling. A group of international experts specialized in various aspects of microwave computer-aided design summarize and review a wide range of the latest developments and real-world applications. Topics include conventional and surrogate-based design optimization techniques, methods exploiting adjoint sensitivity, simulation-based tuning, space mapping, and several modeling methodologies, such as artificial neural networks and kriging. Applications and case studies include microwave filters, antennas, substrate integrated structures and various active components and circuits. The book also contains a few introductory chapters highlighting the fundamentals of optimization and modeling, gradient-based and derivative-free algorithms, metaheuristics, and surrogate-based optimization techniques, as well as finite difference and finite element methods. Print version record. English. Microwave transmission lines. http://id.loc.gov/authorities/subjects/sh85084972 Impedance matching. http://id.loc.gov/authorities/subjects/sh85064611 Lignes de transmission pour micro-ondes. Adaptation d'impédance. TECHNOLOGY & ENGINEERING Microwaves. bisacsh Impedance matching fast Microwave transmission lines fast Koziel, Slawomir. Yang, Xin-She. Zhang, Qi S. Print version: 9781299462175 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=564486 Volltext |
spellingShingle | Simulation-driven design optimization and modeling for microwave engineering / 1. Introduction to optimization and gradient-based methods / Xin-She Yang and Slawomir Koziel -- 2. Derivative-free methods and metaheuristics / Xin-She Yang and Slawomir Koziel -- 3. Surrogate-based optimization / Slawomir Koziel, Leifur Leifsson, and Xin-She Yang -- 4. Space mapping / Slawomir Koziel [and others] -- 5. Tuning space mapping / Qingsha S. Cheng, John W. Bandler, and Slawomir Koziel -- 6. Robust design using knowledge-based response correction and adaptive design specifications / Slawomir Koziel, Stanislav Ogurtsov, and Leifur Leifsson -- 7. Simulation-driven design of broadband antennas using surrogate-based optimization / Slawomir Koziel and Stanislav Ogurtsov -- 8. Neural networks for radio frequency/microwave modeling / Chuan Zhang, Lei Zhang, and Qi-Jun Zhang -- 9. Parametric modeling of microwave passive components using combined neural network and transfer function / Yazi Cao, Venu-Madhav-Reddy Gongal-Reddy, and Qi-Jun Zhang -- 10. Parametric sensitivity macromodels for gradient-based optimization / Krishnan Chemmangat [and others] -- 11. Neural space mapping methods for electromagnetics-based yield estimation / José E. Rayas-Sánchez -- 12. Neural network inverse modeling for microwave filter design / Humayun Kabir [and others] -- 13. Simulation-driven design of microwave filters for space applications / Elena Díaz Caballero [and others] -- 14. Time domain adjoint sensitivities: the transmission line modeling (TLM) case / Mohamed H. Bakr and Osman S. Ahmed -- 15. Boundary conditions for two-dimensional finite-element modeling of microwave devices / Tian-Hong Loh and Christos Mias -- 16. Boundary conditions for three-dimensional finite-element modeling of microwave devices / Tian-Hong Loh and Christos Mias. Microwave transmission lines. http://id.loc.gov/authorities/subjects/sh85084972 Impedance matching. http://id.loc.gov/authorities/subjects/sh85064611 Lignes de transmission pour micro-ondes. Adaptation d'impédance. TECHNOLOGY & ENGINEERING Microwaves. bisacsh Impedance matching fast Microwave transmission lines fast |
subject_GND | http://id.loc.gov/authorities/subjects/sh85084972 http://id.loc.gov/authorities/subjects/sh85064611 |
title | Simulation-driven design optimization and modeling for microwave engineering / |
title_auth | Simulation-driven design optimization and modeling for microwave engineering / |
title_exact_search | Simulation-driven design optimization and modeling for microwave engineering / |
title_full | Simulation-driven design optimization and modeling for microwave engineering / edited by Slawomier Koziel, Xin-She Yang, Qi-Jun Zhang. |
title_fullStr | Simulation-driven design optimization and modeling for microwave engineering / edited by Slawomier Koziel, Xin-She Yang, Qi-Jun Zhang. |
title_full_unstemmed | Simulation-driven design optimization and modeling for microwave engineering / edited by Slawomier Koziel, Xin-She Yang, Qi-Jun Zhang. |
title_short | Simulation-driven design optimization and modeling for microwave engineering / |
title_sort | simulation driven design optimization and modeling for microwave engineering |
topic | Microwave transmission lines. http://id.loc.gov/authorities/subjects/sh85084972 Impedance matching. http://id.loc.gov/authorities/subjects/sh85064611 Lignes de transmission pour micro-ondes. Adaptation d'impédance. TECHNOLOGY & ENGINEERING Microwaves. bisacsh Impedance matching fast Microwave transmission lines fast |
topic_facet | Microwave transmission lines. Impedance matching. Lignes de transmission pour micro-ondes. Adaptation d'impédance. TECHNOLOGY & ENGINEERING Microwaves. Impedance matching Microwave transmission lines |
url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=564486 |
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