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Titlebook: Control of Complex Systems; Structural Constrain Aleksandar Zecevic,Dragoslav D. Siljak Book 2010 Springer-Verlag US 2010 Algebraic Constra

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發(fā)表于 2025-3-21 18:33:22 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Control of Complex Systems
副標(biāo)題Structural Constrain
編輯Aleksandar Zecevic,Dragoslav D. Siljak
視頻videohttp://file.papertrans.cn/238/237356/237356.mp4
概述Addresses the issue of large scale systems as they relate to robust control and linear matrix inequalities in a systematic manner.Discusses a new approach to applying Standard LMI techniques to large-
叢書(shū)名稱(chēng)Communications and Control Engineering
圖書(shū)封面Titlebook: Control of Complex Systems; Structural Constrain Aleksandar Zecevic,Dragoslav D. Siljak Book 2010 Springer-Verlag US 2010 Algebraic Constra
描述."Control of Complex Systems: Structural Constraints and Uncertainty" focuses on control design under information structure constraints, with a particular emphasis on large-scale systems. The complexity of such systems poses serious computational challenges and severely restricts the types of feedback laws that can be used in practice. This book systematically addresses the main issues, and provides a number of applications that illustrate potential design methods, most which use Linear Matrix Inequalities (LMIs), which have become a popular design tool over the past two decades. Authors Aleksandar I. Zecevic and Dragoslav D. Siljak use their years of experience in the control field to also: ....Address the issues of large-scale systems as they relate to robust control and linear matrix inequalities ....Discuss a new approach to applying standard LMI techniques to large-scale systems, combining graphic-theoretic decomposition techniques with appropriate low-rank numerical approximations and dramatically reducing the computational effort....Providing numerous examples and a wide variety of applications, ranging from electric power systems and nonlinear circuits to mechanical problem
出版日期Book 2010
關(guān)鍵詞Algebraic Constraints; Control Design; Dynamic Boolean Networks; Dynamic Graphs; Large-scale Systems; Lin
版次1
doihttps://doi.org/10.1007/978-1-4419-1216-9
isbn_softcover978-1-4614-2555-7
isbn_ebook978-1-4419-1216-9Series ISSN 0178-5354 Series E-ISSN 2197-7119
issn_series 0178-5354
copyrightSpringer-Verlag US 2010
The information of publication is updating

書(shū)目名稱(chēng)Control of Complex Systems影響因子(影響力)




書(shū)目名稱(chēng)Control of Complex Systems影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)Control of Complex Systems網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Control of Complex Systems網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Control of Complex Systems被引頻次




書(shū)目名稱(chēng)Control of Complex Systems被引頻次學(xué)科排名




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書(shū)目名稱(chēng)Control of Complex Systems年度引用學(xué)科排名




書(shū)目名稱(chēng)Control of Complex Systems讀者反饋




書(shū)目名稱(chēng)Control of Complex Systems讀者反饋學(xué)科排名




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0178-5354 roximations and dramatically reducing the computational effort....Providing numerous examples and a wide variety of applications, ranging from electric power systems and nonlinear circuits to mechanical problem978-1-4614-2555-7978-1-4419-1216-9Series ISSN 0178-5354 Series E-ISSN 2197-7119
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https://doi.org/10.1007/978-1-4419-1216-9Algebraic Constraints; Control Design; Dynamic Boolean Networks; Dynamic Graphs; Large-scale Systems; Lin
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Aleksandar Zecevic,Dragoslav D. SiljakAddresses the issue of large scale systems as they relate to robust control and linear matrix inequalities in a systematic manner.Discusses a new approach to applying Standard LMI techniques to large-
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Book 2010ular emphasis on large-scale systems. The complexity of such systems poses serious computational challenges and severely restricts the types of feedback laws that can be used in practice. This book systematically addresses the main issues, and provides a number of applications that illustrate potent
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0178-5354 a new approach to applying Standard LMI techniques to large-."Control of Complex Systems: Structural Constraints and Uncertainty" focuses on control design under information structure constraints, with a particular emphasis on large-scale systems. The complexity of such systems poses serious computa
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Familial Aggregation of Blood Pressure and the Heritability of Hypertension,maternal factors, birth weight, obesity, health behavior influences, and socio-economic features. We conclude the chapter with a brief discussion of promising future research directions for assessing the genetic risk of BP in childhood.
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