找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Model Predictive Control; Classical, Robust an Basil Kouvaritakis,Mark Cannon Textbook 2016 Springer International Publishing AG, part of S

[复制链接]
查看: 11619|回复: 35
发表于 2025-3-21 17:57:33 | 显示全部楼层 |阅读模式
书目名称Model Predictive Control
副标题Classical, Robust an
编辑Basil Kouvaritakis,Mark Cannon
视频video
概述Equips the student to deal with broad classes of system uncertainties with the first textbook treatment of stochastic predictive control.Gives the student an up-to-date source on robust predictive con
丛书名称Advanced Textbooks in Control and Signal Processing
图书封面Titlebook: Model Predictive Control; Classical, Robust an Basil Kouvaritakis,Mark Cannon Textbook 2016 Springer International Publishing AG, part of S
描述.For the first time, a textbook that brings together classical predictive control with treatment of up-to-date robust and stochastic techniques...Model Predictive Control .describes the development of tractable algorithms for uncertain, stochastic, constrained systems. The starting point is classical predictive control and the appropriate formulation of performance objectives and constraints to provide guarantees of closed-loop stability and performance. Moving on to robust predictive control, the text explains how similar guarantees may be obtained for cases in which the model describing the system dynamics is subject to additive disturbances and parametric uncertainties. Open- and closed-loop optimization are considered and the state of the art in computationally tractable methods based on uncertainty tubes presented for systems with additive model uncertainty. Finally, the tube framework is also applied to model predictive control problems involving hard or probabilistic constraints for the cases of multiplicative and stochastic model uncertainty. The book provides:...extensive use of illustrative examples;..sample problems; and..discussion of novel control applications such asr
出版日期Textbook 2016
关键词Constained Systems; Controller Parameterization; Convex Optimization; Model Predictive Control Textbook
版次1
doihttps://doi.org/10.1007/978-3-319-24853-0
isbn_softcover978-3-319-79689-5
isbn_ebook978-3-319-24853-0Series ISSN 1439-2232 Series E-ISSN 2510-3814
issn_series 1439-2232
copyrightSpringer International Publishing AG, part of Springer Nature 2016
The information of publication is updating

书目名称Model Predictive Control影响因子(影响力)




书目名称Model Predictive Control影响因子(影响力)学科排名




书目名称Model Predictive Control网络公开度




书目名称Model Predictive Control网络公开度学科排名




书目名称Model Predictive Control被引频次




书目名称Model Predictive Control被引频次学科排名




书目名称Model Predictive Control年度引用




书目名称Model Predictive Control年度引用学科排名




书目名称Model Predictive Control读者反馈




书目名称Model Predictive Control读者反馈学科排名




单选投票, 共有 1 人参与投票
 

0票 0.00%

Perfect with Aesthetics

 

0票 0.00%

Better Implies Difficulty

 

1票 100.00%

Good and Satisfactory

 

0票 0.00%

Adverse Performance

 

0票 0.00%

Disdainful Garbage

您所在的用户组没有投票权限
发表于 2025-3-21 23:49:55 | 显示全部楼层
1439-2232 onstraints for the cases of multiplicative and stochastic model uncertainty. The book provides:...extensive use of illustrative examples;..sample problems; and..discussion of novel control applications such asr978-3-319-79689-5978-3-319-24853-0Series ISSN 1439-2232 Series E-ISSN 2510-3814
发表于 2025-3-22 04:06:15 | 显示全部楼层
Basil Kouvaritakis,Mark CannonEquips the student to deal with broad classes of system uncertainties with the first textbook treatment of stochastic predictive control.Gives the student an up-to-date source on robust predictive con
发表于 2025-3-22 08:34:05 | 显示全部楼层
发表于 2025-3-22 10:52:27 | 显示全部楼层
https://doi.org/10.1007/978-3-319-24853-0Constained Systems; Controller Parameterization; Convex Optimization; Model Predictive Control Textbook
发表于 2025-3-22 14:10:46 | 显示全部楼层
发表于 2025-3-22 18:25:16 | 显示全部楼层
发表于 2025-3-23 00:32:27 | 显示全部楼层
发表于 2025-3-23 01:23:59 | 显示全部楼层
发表于 2025-3-23 09:30:36 | 显示全部楼层
https://doi.org/10.1007/978-94-024-0858-4e issues. This guide empowers the development team with the experience of Social Sciences in these issues. This paper introduces the guide and shows its application in a case study about a web application.
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-5-21 00:24
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表