找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Weakly Nonlinear Systems; With Applications in Federico Beffa Book‘‘‘‘‘‘‘‘ 2024 The Editor(s) (if applicable) and The Author(s) 2024 Open A

[復制鏈接]
查看: 38139|回復: 74
樓主
發(fā)表于 2025-3-21 18:35:31 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Weakly Nonlinear Systems
副標題With Applications in
編輯Federico Beffa
視頻videohttp://file.papertrans.cn/1022/1021371/1021371.mp4
概述Is an open access book.Covers a large class of nonlinear systems with many practical engineering applications.Includes many real-world examples that occur in design of RF and mmW analogue integrated c
叢書名稱Understanding Complex Systems
圖書封面Titlebook: Weakly Nonlinear Systems; With Applications in Federico Beffa Book‘‘‘‘‘‘‘‘ 2024 The Editor(s) (if applicable) and The Author(s) 2024 Open A
描述.The open access book covers a large class of nonlinear systems with many practical engineering applications. The approach is based on the extension of linear systems theory using the Volterra series. In contrast to the few existing treatments, our approach highlights the algebraic structure underlying such systems and is based on Schwartz’s distributions (rather than functions). The use of distributions leads naturally to the convolution algebras of linear time-invariant systems and the ones suitable for weakly nonlinear systems emerge as simple extensions to higher order distributions, without having to resort to ad hoc operators. The result is a much-simplified notation, free of multiple integrals, a conceptual simplification, and the ability to solve the associated nonlinear differential equations in a purely algebraic way. The representation based on distributions not only becomes manifestly power series alike, but it includes power series as the description of the subclass of memory-less, time-invariant, weakly nonlinear systems. With this connection, many results from the theory of power series can be extended to the larger class of weakly nonlinear systems with memory. As a
出版日期Book‘‘‘‘‘‘‘‘ 2024
關鍵詞Open Access; Nonlinear Systems; Weakly Nonlinear Systems; Dynamical Systems; Compley Systems; Complexity
版次1
doihttps://doi.org/10.1007/978-3-031-40681-2
isbn_softcover978-3-031-40683-6
isbn_ebook978-3-031-40681-2Series ISSN 1860-0832 Series E-ISSN 1860-0840
issn_series 1860-0832
copyrightThe Editor(s) (if applicable) and The Author(s) 2024
The information of publication is updating

書目名稱Weakly Nonlinear Systems影響因子(影響力)




書目名稱Weakly Nonlinear Systems影響因子(影響力)學科排名




書目名稱Weakly Nonlinear Systems網絡公開度




書目名稱Weakly Nonlinear Systems網絡公開度學科排名




書目名稱Weakly Nonlinear Systems被引頻次




書目名稱Weakly Nonlinear Systems被引頻次學科排名




書目名稱Weakly Nonlinear Systems年度引用




書目名稱Weakly Nonlinear Systems年度引用學科排名




書目名稱Weakly Nonlinear Systems讀者反饋




書目名稱Weakly Nonlinear Systems讀者反饋學科排名




單選投票, 共有 0 人參與投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用戶組沒有投票權限
沙發(fā)
發(fā)表于 2025-3-21 22:09:51 | 只看該作者
https://doi.org/10.1007/978-3-031-40681-2Open Access; Nonlinear Systems; Weakly Nonlinear Systems; Dynamical Systems; Compley Systems; Complexity
板凳
發(fā)表于 2025-3-22 02:20:13 | 只看該作者
978-3-031-40683-6The Editor(s) (if applicable) and The Author(s) 2024
地板
發(fā)表于 2025-3-22 04:43:41 | 只看該作者
5#
發(fā)表于 2025-3-22 11:03:00 | 只看該作者
Convolution of?DistributionsThe convolution product plays a central role in the description of linear and weakly-nonlinear systems. In this chapter we develop its theory based on distributions. In addition, the chapter introduces the tensor product which will also come to play an important role in the description of weakly-nonlinear systems.
6#
發(fā)表于 2025-3-22 15:18:38 | 只看該作者
7#
發(fā)表于 2025-3-22 20:16:22 | 只看該作者
Fourier Transform of?DistributionsThe Fourier transform is a major tool in the analysis of signals and systems. We will see that its extension to distributions will make the derivation of many results simpler and more direct than when working with functions.
8#
發(fā)表于 2025-3-22 21:36:45 | 只看該作者
Fourier Transform of?DistributionsThe Fourier transform is a major tool in the analysis of signals and systems. We will see that its extension to distributions will make the derivation of many results simpler and more direct than when working with functions.
9#
發(fā)表于 2025-3-23 01:27:30 | 只看該作者
Laplace Transform of?DistributionsThe classic Laplace transform is closely related to the Fourier one and has similar properties. In a way it can be seen as a modification of the latter in such a way that it can handle exponentially growing functions.
10#
發(fā)表于 2025-3-23 09:07:12 | 只看該作者
 關于派博傳思  派博傳思旗下網站  友情鏈接
派博傳思介紹 公司地理位置 論文服務流程 影響因子官網 吾愛論文網 大講堂 北京大學 Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經驗總結 SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學 Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網安備110108008328) GMT+8, 2025-10-8 02:37
Copyright © 2001-2015 派博傳思   京公網安備110108008328 版權所有 All rights reserved
快速回復 返回頂部 返回列表
芦山县| 鞍山市| 延边| 新民市| 赫章县| 芦溪县| 革吉县| 扎赉特旗| 临江市| 达拉特旗| 启东市| 潜山县| 安溪县| 涞水县| 区。| 彰化市| 上蔡县| 南雄市| 江华| 慈溪市| 武隆县| 东海县| 汉源县| 彭阳县| 图们市| 荆门市| 南华县| 沭阳县| 卫辉市| 仁化县| 信宜市| 城固县| 如皋市| 奉化市| 稻城县| 五寨县| 汽车| 清涧县| 平果县| 桐梓县| 绍兴市|