无需Kindle设备,下载免费Kindle阅读软件,即可在您的手机、电脑及平板电脑上畅享阅读。

  • 点击此处下载Kindle iOS阅读软件
    iPhone/iPad/Mac
  • 点击此处下载Kindle Android阅读软件
    Android手机或平板电脑

请输入您的手机号码,获取Kindle阅读软件的下载链接。

kcpAppSendButton

购买选项

Kindle电子书价格: ¥383.61

这些促销将适用于该商品:

部分促销可以同时享受;部分促销不可与其他促销同时享受。更多详情请查看促销条款。

发送至您的Kindle设备或Kindle阅读软件

发送至您的Kindle设备或Kindle阅读软件

“Recursive Identification and Parameter Estimation (English Edition)”,作者:[Chen, Han-Fu, Zhao, Wenxiao]

Recursive Identification and Parameter Estimation (English Edition) Kindle电子书

|
分享
<分享样章>
广告
显示所有 2 格式和版本 隐藏其他格式和版本
亚马逊价格
全新品最低价 非全新品最低价
Kindle电子书
¥383.61

图书描述

2014年6月23日 1

Recursive Identification and Parameter Estimation describes a recursive approach to solving system identification and parameter estimation problems arising from diverse areas. Supplying rigorous theoretical analysis, it presents the material and proposed algorithms in a manner that makes it easy to understand—providing readers with the modeling and identification skills required for successful theoretical research and effective application.

The book begins by introducing the basic concepts of probability theory, including martingales, martingale difference sequences, Markov chains, mixing processes, and stationary processes. Next, it discusses the root-seeking problem for functions, starting with the classic RM algorithm, but with attention mainly paid to the stochastic approximation algorithms with expanding truncations (SAAWET) which serves as the basic tool for recursively solving the problems addressed in the book.

The book not only identifies the results of system identification and parameter estimation, but also demonstrates how to apply the proposed approaches for addressing problems in a range of areas, including:



  • Identification of ARMAX systems without imposing restrictive conditions

  • Identification of typical nonlinear systems

  • Optimal adaptive tracking

  • Consensus of multi-agents systems

  • Principal component analysis

  • Distributed randomized PageRank computation


This book recursively identifies autoregressive and moving average with exogenous input (ARMAX) and discusses the identification of non-linear systems. It concludes by addressing the problems arising from different areas that are solved by SAAWET. Demonstrating how to apply the proposed approaches to solve problems across a range of areas, the book is suitable for students, researchers, and engineers working in systems and control, signal processing, communication, and mathematical statistics.


基本信息

  • 版本: Kindle电子书
  • 文件大小: 9312 KB
  • 纸书页数: 429
  • 出版社: CRC Press; 1 (2014年6月23日)
  • 语种: 英语
  • ASIN: B00L2EBFZ2
  • 标准语音朗读: 未启用
  • X-Ray:
  • 生词提示功能: 未启用
  • 用户评分: 分享我的评价
  • 您想告诉我们您发现了更低的价格?

click to open popover

无顾客评论

5 星 (0%) 0%
4 星 (0%) 0%
3 星 (0%) 0%
2 星 (0%) 0%
1 星 (0%) 0%

评论该商品

与其他买家分享您的想法