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Titlebook: Nonlinear Industrial Control Systems; Optimal Polynomial S Michael J. Grimble,Pawe? Majecki Book 2020 Springer-Verlag London Ltd., part of

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發(fā)表于 2025-3-21 16:59:39 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Nonlinear Industrial Control Systems
副標(biāo)題Optimal Polynomial S
編輯Michael J. Grimble,Pawe? Majecki
視頻videohttp://file.papertrans.cn/668/667532/667532.mp4
概述Shows industrial engineers how to apply nonlinear control theory in real-world systems.Teaches students a comprehensive range of simple-to-apply techniques for nonlinear control.MATLAB toolbox with pl
圖書封面Titlebook: Nonlinear Industrial Control Systems; Optimal Polynomial S Michael J. Grimble,Pawe? Majecki Book 2020 Springer-Verlag London Ltd., part of
描述.Nonlinear Industrial Control Systems?.presents a range of mostly optimisation-based methods for severely nonlinear systems; it discusses feedforward and feedback control and tracking control systems design. The plant models and design algorithms are provided in a MATLAB? toolbox that enable both academic examples and industrial application studies to be repeated and evaluated, taking into account practical application and implementation problems...The text makes nonlinear control theory accessible to readers having only a background in linear systems, and concentrates on real applications of nonlinear control. It covers:..different ways of modelling nonlinear systems including state space, polynomial-based, linear parameter varying, state-dependent and hybrid;.design techniques for nonlinear optimal control including generalised-minimum-variance, model predictive control, quadratic-Gaussian, factorised and H.∞. design methods;.design philosophies that are suitable for aerospace, automotive, marine, process-control, energy systems, robotics, servo systems and manufacturing;.steps in design procedures that are illustrated in design studies to define cost-functions and cope with prob
出版日期Book 2020
關(guān)鍵詞Aerospace Engineering; Automotive Control; Control; Control Applications; Control Engineering; MATLAB?; Ma
版次1
doihttps://doi.org/10.1007/978-1-4471-7457-8
isbn_ebook978-1-4471-7457-8
copyrightSpringer-Verlag London Ltd., part of Springer Nature 2020
The information of publication is updating

書目名稱Nonlinear Industrial Control Systems影響因子(影響力)




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發(fā)表于 2025-3-22 00:11:21 | 只看該作者
Michael J. Grimble,Pawe? MajeckiShows industrial engineers how to apply nonlinear control theory in real-world systems.Teaches students a comprehensive range of simple-to-apply techniques for nonlinear control.MATLAB toolbox with pl
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https://doi.org/10.1007/978-1-4471-7457-8Aerospace Engineering; Automotive Control; Control; Control Applications; Control Engineering; MATLAB?; Ma
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發(fā)表于 2025-3-22 12:16:39 | 只看該作者
stics and decision theory. It covers both the basic ideas of statistical theory, and also some of the more modern and advanced topics of Bayesian statistics such as complete class theorems, the Stein effect, Bayesian model choice, hierarchical and empirical Bayes modeling, Monte Carlo integration in
6#
發(fā)表于 2025-3-22 15:19:23 | 只看該作者
stics and decision theory. It covers both the basic ideas of statistical theory, and also some of the more modern and advanced topics of Bayesian statistics such as complete class theorems, the Stein effect, Bayesian model choice, hierarchical and empirical Bayes modeling, Monte Carlo integration in
7#
發(fā)表于 2025-3-22 18:38:36 | 只看該作者
Michael J. Grimble,Pawe? Majeckistics and decision theory. It covers both the basic ideas of statistical theory, and also some of the more modern and advanced topics of Bayesian statistics such as complete class theorems, the Stein effect, Bayesian model choice, hierarchical and empirical Bayes modeling, Monte Carlo integration in
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發(fā)表于 2025-3-23 04:20:34 | 只看該作者
stics and decision theory. It covers both the basic ideas of statistical theory, and also some of the more modern and advanced topics of Bayesian statistics such as complete class theorems, the Stein effect, Bayesian model choice, hierarchical and empirical Bayes modeling, Monte Carlo integration in
10#
發(fā)表于 2025-3-23 09:08:44 | 只看該作者
Michael J. Grimble,Pawe? Majecki the 2001 edition, is a graduate-level textbook that introduces Bayesian statistics and decision theory. It covers both the basic ideas of statistical theory, and also some of the more modern and advanced topics of Bayesian statistics such as complete class theorems, the Stein effect, Bayesian model
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