An Improved Structure-Preserving Reduced-Order Interconnect Macromodeling for Large-Scale Equation Sets of Transient Interconnect Circuit Problems

The widely applied Structure-Preserving Reduced-order Interconnect Macromodeling (SPRIM) algorithm cannot retain the reciprocity or the block structure of the circuit matrices of the original system, being inherent to RCL circuits; and consequently it is harder to synthesize a Passive Reduced-order...
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Autor*in:	Ning Wang [verfasserIn] Shiyou Yang [verfasserIn] Zhuoxiang Ren [verfasserIn] Huifang Wang [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	Interconnect circuit model order reduction (MOR) input-output structure preserving order reduction (IOPOR) structure-preserving reduced-order interconnect macromodeling (SPRIM)

Übergeordnetes Werk:	In: IEEE Access - IEEE, 2014, 9(2021), Seite 132150-132157
Übergeordnetes Werk:	volume:9 ; year:2021 ; pages:132150-132157

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1109/ACCESS.2021.3114685

Katalog-ID:	DOAJ015019667

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520			\|a The widely applied Structure-Preserving Reduced-order Interconnect Macromodeling (SPRIM) algorithm cannot retain the reciprocity or the block structure of the circuit matrices of the original system, being inherent to RCL circuits; and consequently it is harder to synthesize a Passive Reduced-order Interconnect Macromodeling Algorithms (PRIMA) model into a practical circuit. In order to overcome this deficiency, this paper proposes an improved SPRIM algorithm to maintain the structure features of the input-output correlation matrix. Firstly, the algorithm in this paper reorders the modified nodal analysis (MNA) equations. An Input-Output structure Preserving Order Reduction (IOPOR) technique applicable to SPRIM is then proposed. Also, one combines the IOPOR technique with the conventional SPRIM algorithm to obtain a new projection matrix that can maintain the input and output correlation matrix of the original system. The feasibility and effectiveness of the proposed algorithm are verified through numerical analysis and calculation of typical problems.
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allfields	10.1109/ACCESS.2021.3114685 doi (DE-627)DOAJ015019667 (DE-599)DOAJee78ee303f6346249980bc5dbfeb28e8 DE-627 ger DE-627 rakwb eng TK1-9971 Ning Wang verfasserin aut An Improved Structure-Preserving Reduced-Order Interconnect Macromodeling for Large-Scale Equation Sets of Transient Interconnect Circuit Problems 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The widely applied Structure-Preserving Reduced-order Interconnect Macromodeling (SPRIM) algorithm cannot retain the reciprocity or the block structure of the circuit matrices of the original system, being inherent to RCL circuits; and consequently it is harder to synthesize a Passive Reduced-order Interconnect Macromodeling Algorithms (PRIMA) model into a practical circuit. In order to overcome this deficiency, this paper proposes an improved SPRIM algorithm to maintain the structure features of the input-output correlation matrix. Firstly, the algorithm in this paper reorders the modified nodal analysis (MNA) equations. An Input-Output structure Preserving Order Reduction (IOPOR) technique applicable to SPRIM is then proposed. Also, one combines the IOPOR technique with the conventional SPRIM algorithm to obtain a new projection matrix that can maintain the input and output correlation matrix of the original system. The feasibility and effectiveness of the proposed algorithm are verified through numerical analysis and calculation of typical problems. Interconnect circuit model order reduction (MOR) input-output structure preserving order reduction (IOPOR) structure-preserving reduced-order interconnect macromodeling (SPRIM) Electrical engineering. Electronics. Nuclear engineering Shiyou Yang verfasserin aut Zhuoxiang Ren verfasserin aut Huifang Wang verfasserin aut In IEEE Access IEEE, 2014 9(2021), Seite 132150-132157 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:9 year:2021 pages:132150-132157 https://doi.org/10.1109/ACCESS.2021.3114685 kostenfrei https://doaj.org/article/ee78ee303f6346249980bc5dbfeb28e8 kostenfrei https://ieeexplore.ieee.org/document/9546752/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 9 2021 132150-132157
spelling	10.1109/ACCESS.2021.3114685 doi (DE-627)DOAJ015019667 (DE-599)DOAJee78ee303f6346249980bc5dbfeb28e8 DE-627 ger DE-627 rakwb eng TK1-9971 Ning Wang verfasserin aut An Improved Structure-Preserving Reduced-Order Interconnect Macromodeling for Large-Scale Equation Sets of Transient Interconnect Circuit Problems 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The widely applied Structure-Preserving Reduced-order Interconnect Macromodeling (SPRIM) algorithm cannot retain the reciprocity or the block structure of the circuit matrices of the original system, being inherent to RCL circuits; and consequently it is harder to synthesize a Passive Reduced-order Interconnect Macromodeling Algorithms (PRIMA) model into a practical circuit. In order to overcome this deficiency, this paper proposes an improved SPRIM algorithm to maintain the structure features of the input-output correlation matrix. Firstly, the algorithm in this paper reorders the modified nodal analysis (MNA) equations. An Input-Output structure Preserving Order Reduction (IOPOR) technique applicable to SPRIM is then proposed. Also, one combines the IOPOR technique with the conventional SPRIM algorithm to obtain a new projection matrix that can maintain the input and output correlation matrix of the original system. The feasibility and effectiveness of the proposed algorithm are verified through numerical analysis and calculation of typical problems. Interconnect circuit model order reduction (MOR) input-output structure preserving order reduction (IOPOR) structure-preserving reduced-order interconnect macromodeling (SPRIM) Electrical engineering. Electronics. Nuclear engineering Shiyou Yang verfasserin aut Zhuoxiang Ren verfasserin aut Huifang Wang verfasserin aut In IEEE Access IEEE, 2014 9(2021), Seite 132150-132157 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:9 year:2021 pages:132150-132157 https://doi.org/10.1109/ACCESS.2021.3114685 kostenfrei https://doaj.org/article/ee78ee303f6346249980bc5dbfeb28e8 kostenfrei https://ieeexplore.ieee.org/document/9546752/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 9 2021 132150-132157
allfields_unstemmed	10.1109/ACCESS.2021.3114685 doi (DE-627)DOAJ015019667 (DE-599)DOAJee78ee303f6346249980bc5dbfeb28e8 DE-627 ger DE-627 rakwb eng TK1-9971 Ning Wang verfasserin aut An Improved Structure-Preserving Reduced-Order Interconnect Macromodeling for Large-Scale Equation Sets of Transient Interconnect Circuit Problems 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The widely applied Structure-Preserving Reduced-order Interconnect Macromodeling (SPRIM) algorithm cannot retain the reciprocity or the block structure of the circuit matrices of the original system, being inherent to RCL circuits; and consequently it is harder to synthesize a Passive Reduced-order Interconnect Macromodeling Algorithms (PRIMA) model into a practical circuit. In order to overcome this deficiency, this paper proposes an improved SPRIM algorithm to maintain the structure features of the input-output correlation matrix. Firstly, the algorithm in this paper reorders the modified nodal analysis (MNA) equations. An Input-Output structure Preserving Order Reduction (IOPOR) technique applicable to SPRIM is then proposed. Also, one combines the IOPOR technique with the conventional SPRIM algorithm to obtain a new projection matrix that can maintain the input and output correlation matrix of the original system. The feasibility and effectiveness of the proposed algorithm are verified through numerical analysis and calculation of typical problems. Interconnect circuit model order reduction (MOR) input-output structure preserving order reduction (IOPOR) structure-preserving reduced-order interconnect macromodeling (SPRIM) Electrical engineering. Electronics. Nuclear engineering Shiyou Yang verfasserin aut Zhuoxiang Ren verfasserin aut Huifang Wang verfasserin aut In IEEE Access IEEE, 2014 9(2021), Seite 132150-132157 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:9 year:2021 pages:132150-132157 https://doi.org/10.1109/ACCESS.2021.3114685 kostenfrei https://doaj.org/article/ee78ee303f6346249980bc5dbfeb28e8 kostenfrei https://ieeexplore.ieee.org/document/9546752/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 9 2021 132150-132157
allfieldsGer	10.1109/ACCESS.2021.3114685 doi (DE-627)DOAJ015019667 (DE-599)DOAJee78ee303f6346249980bc5dbfeb28e8 DE-627 ger DE-627 rakwb eng TK1-9971 Ning Wang verfasserin aut An Improved Structure-Preserving Reduced-Order Interconnect Macromodeling for Large-Scale Equation Sets of Transient Interconnect Circuit Problems 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The widely applied Structure-Preserving Reduced-order Interconnect Macromodeling (SPRIM) algorithm cannot retain the reciprocity or the block structure of the circuit matrices of the original system, being inherent to RCL circuits; and consequently it is harder to synthesize a Passive Reduced-order Interconnect Macromodeling Algorithms (PRIMA) model into a practical circuit. In order to overcome this deficiency, this paper proposes an improved SPRIM algorithm to maintain the structure features of the input-output correlation matrix. Firstly, the algorithm in this paper reorders the modified nodal analysis (MNA) equations. An Input-Output structure Preserving Order Reduction (IOPOR) technique applicable to SPRIM is then proposed. Also, one combines the IOPOR technique with the conventional SPRIM algorithm to obtain a new projection matrix that can maintain the input and output correlation matrix of the original system. The feasibility and effectiveness of the proposed algorithm are verified through numerical analysis and calculation of typical problems. Interconnect circuit model order reduction (MOR) input-output structure preserving order reduction (IOPOR) structure-preserving reduced-order interconnect macromodeling (SPRIM) Electrical engineering. Electronics. Nuclear engineering Shiyou Yang verfasserin aut Zhuoxiang Ren verfasserin aut Huifang Wang verfasserin aut In IEEE Access IEEE, 2014 9(2021), Seite 132150-132157 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:9 year:2021 pages:132150-132157 https://doi.org/10.1109/ACCESS.2021.3114685 kostenfrei https://doaj.org/article/ee78ee303f6346249980bc5dbfeb28e8 kostenfrei https://ieeexplore.ieee.org/document/9546752/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 9 2021 132150-132157
allfieldsSound	10.1109/ACCESS.2021.3114685 doi (DE-627)DOAJ015019667 (DE-599)DOAJee78ee303f6346249980bc5dbfeb28e8 DE-627 ger DE-627 rakwb eng TK1-9971 Ning Wang verfasserin aut An Improved Structure-Preserving Reduced-Order Interconnect Macromodeling for Large-Scale Equation Sets of Transient Interconnect Circuit Problems 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The widely applied Structure-Preserving Reduced-order Interconnect Macromodeling (SPRIM) algorithm cannot retain the reciprocity or the block structure of the circuit matrices of the original system, being inherent to RCL circuits; and consequently it is harder to synthesize a Passive Reduced-order Interconnect Macromodeling Algorithms (PRIMA) model into a practical circuit. In order to overcome this deficiency, this paper proposes an improved SPRIM algorithm to maintain the structure features of the input-output correlation matrix. Firstly, the algorithm in this paper reorders the modified nodal analysis (MNA) equations. An Input-Output structure Preserving Order Reduction (IOPOR) technique applicable to SPRIM is then proposed. Also, one combines the IOPOR technique with the conventional SPRIM algorithm to obtain a new projection matrix that can maintain the input and output correlation matrix of the original system. The feasibility and effectiveness of the proposed algorithm are verified through numerical analysis and calculation of typical problems. Interconnect circuit model order reduction (MOR) input-output structure preserving order reduction (IOPOR) structure-preserving reduced-order interconnect macromodeling (SPRIM) Electrical engineering. Electronics. Nuclear engineering Shiyou Yang verfasserin aut Zhuoxiang Ren verfasserin aut Huifang Wang verfasserin aut In IEEE Access IEEE, 2014 9(2021), Seite 132150-132157 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:9 year:2021 pages:132150-132157 https://doi.org/10.1109/ACCESS.2021.3114685 kostenfrei https://doaj.org/article/ee78ee303f6346249980bc5dbfeb28e8 kostenfrei https://ieeexplore.ieee.org/document/9546752/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 9 2021 132150-132157
language	English
source	In IEEE Access 9(2021), Seite 132150-132157 volume:9 year:2021 pages:132150-132157
sourceStr	In IEEE Access 9(2021), Seite 132150-132157 volume:9 year:2021 pages:132150-132157
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Interconnect circuit model order reduction (MOR) input-output structure preserving order reduction (IOPOR) structure-preserving reduced-order interconnect macromodeling (SPRIM) Electrical engineering. Electronics. Nuclear engineering
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container_title	IEEE Access
authorswithroles_txt_mv	Ning Wang @@aut@@ Shiyou Yang @@aut@@ Zhuoxiang Ren @@aut@@ Huifang Wang @@aut@@
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callnumber-first	T - Technology
author	Ning Wang
spellingShingle	Ning Wang misc TK1-9971 misc Interconnect circuit misc model order reduction (MOR) misc input-output structure preserving order reduction (IOPOR) misc structure-preserving reduced-order interconnect macromodeling (SPRIM) misc Electrical engineering. Electronics. Nuclear engineering An Improved Structure-Preserving Reduced-Order Interconnect Macromodeling for Large-Scale Equation Sets of Transient Interconnect Circuit Problems
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topic_title	TK1-9971 An Improved Structure-Preserving Reduced-Order Interconnect Macromodeling for Large-Scale Equation Sets of Transient Interconnect Circuit Problems Interconnect circuit model order reduction (MOR) input-output structure preserving order reduction (IOPOR) structure-preserving reduced-order interconnect macromodeling (SPRIM)
topic	misc TK1-9971 misc Interconnect circuit misc model order reduction (MOR) misc input-output structure preserving order reduction (IOPOR) misc structure-preserving reduced-order interconnect macromodeling (SPRIM) misc Electrical engineering. Electronics. Nuclear engineering
topic_unstemmed	misc TK1-9971 misc Interconnect circuit misc model order reduction (MOR) misc input-output structure preserving order reduction (IOPOR) misc structure-preserving reduced-order interconnect macromodeling (SPRIM) misc Electrical engineering. Electronics. Nuclear engineering
topic_browse	misc TK1-9971 misc Interconnect circuit misc model order reduction (MOR) misc input-output structure preserving order reduction (IOPOR) misc structure-preserving reduced-order interconnect macromodeling (SPRIM) misc Electrical engineering. Electronics. Nuclear engineering
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title	An Improved Structure-Preserving Reduced-Order Interconnect Macromodeling for Large-Scale Equation Sets of Transient Interconnect Circuit Problems
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title_full	An Improved Structure-Preserving Reduced-Order Interconnect Macromodeling for Large-Scale Equation Sets of Transient Interconnect Circuit Problems
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title_sort	improved structure-preserving reduced-order interconnect macromodeling for large-scale equation sets of transient interconnect circuit problems
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title_auth	An Improved Structure-Preserving Reduced-Order Interconnect Macromodeling for Large-Scale Equation Sets of Transient Interconnect Circuit Problems
abstract	The widely applied Structure-Preserving Reduced-order Interconnect Macromodeling (SPRIM) algorithm cannot retain the reciprocity or the block structure of the circuit matrices of the original system, being inherent to RCL circuits; and consequently it is harder to synthesize a Passive Reduced-order Interconnect Macromodeling Algorithms (PRIMA) model into a practical circuit. In order to overcome this deficiency, this paper proposes an improved SPRIM algorithm to maintain the structure features of the input-output correlation matrix. Firstly, the algorithm in this paper reorders the modified nodal analysis (MNA) equations. An Input-Output structure Preserving Order Reduction (IOPOR) technique applicable to SPRIM is then proposed. Also, one combines the IOPOR technique with the conventional SPRIM algorithm to obtain a new projection matrix that can maintain the input and output correlation matrix of the original system. The feasibility and effectiveness of the proposed algorithm are verified through numerical analysis and calculation of typical problems.
abstractGer	The widely applied Structure-Preserving Reduced-order Interconnect Macromodeling (SPRIM) algorithm cannot retain the reciprocity or the block structure of the circuit matrices of the original system, being inherent to RCL circuits; and consequently it is harder to synthesize a Passive Reduced-order Interconnect Macromodeling Algorithms (PRIMA) model into a practical circuit. In order to overcome this deficiency, this paper proposes an improved SPRIM algorithm to maintain the structure features of the input-output correlation matrix. Firstly, the algorithm in this paper reorders the modified nodal analysis (MNA) equations. An Input-Output structure Preserving Order Reduction (IOPOR) technique applicable to SPRIM is then proposed. Also, one combines the IOPOR technique with the conventional SPRIM algorithm to obtain a new projection matrix that can maintain the input and output correlation matrix of the original system. The feasibility and effectiveness of the proposed algorithm are verified through numerical analysis and calculation of typical problems.
abstract_unstemmed	The widely applied Structure-Preserving Reduced-order Interconnect Macromodeling (SPRIM) algorithm cannot retain the reciprocity or the block structure of the circuit matrices of the original system, being inherent to RCL circuits; and consequently it is harder to synthesize a Passive Reduced-order Interconnect Macromodeling Algorithms (PRIMA) model into a practical circuit. In order to overcome this deficiency, this paper proposes an improved SPRIM algorithm to maintain the structure features of the input-output correlation matrix. Firstly, the algorithm in this paper reorders the modified nodal analysis (MNA) equations. An Input-Output structure Preserving Order Reduction (IOPOR) technique applicable to SPRIM is then proposed. Also, one combines the IOPOR technique with the conventional SPRIM algorithm to obtain a new projection matrix that can maintain the input and output correlation matrix of the original system. The feasibility and effectiveness of the proposed algorithm are verified through numerical analysis and calculation of typical problems.
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title_short	An Improved Structure-Preserving Reduced-Order Interconnect Macromodeling for Large-Scale Equation Sets of Transient Interconnect Circuit Problems
url	https://doi.org/10.1109/ACCESS.2021.3114685 https://doaj.org/article/ee78ee303f6346249980bc5dbfeb28e8 https://ieeexplore.ieee.org/document/9546752/ https://doaj.org/toc/2169-3536
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up_date	2024-07-04T01:19:44.292Z
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An Improved Structure-Preserving Reduced-Order Interconnect Macromodeling for Large-Scale Equation Sets of Transient Interconnect Circuit Problems

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