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Titlebook: Iterative Learning Control; Analysis, Design, In Zeungnam Bien,Jian-Xin Xu Book 1998 Springer Science+Business Media New York 1998 Nonlinea

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書目名稱Iterative Learning Control
副標(biāo)題Analysis, Design, In
編輯Zeungnam Bien,Jian-Xin Xu
視頻videohttp://file.papertrans.cn/477/476571/476571.mp4
圖書封面Titlebook: Iterative Learning Control; Analysis, Design, In Zeungnam Bien,Jian-Xin Xu Book 1998 Springer Science+Business Media New York 1998 Nonlinea
描述Iterative Learning Control (ILC) differs from most existing control methods in the sense that, it exploits every possibility to incorporate past control informa- tion, such as tracking errors and control input signals, into the construction of the present control action. There are two phases in Iterative Learning Control: first the long term memory components are used to store past control infor- mation, then the stored control information is fused in a certain manner so as to ensure that the system meets control specifications such as convergence, robustness, etc. It is worth pointing out that, those control specifications may not be easily satisfied by other control methods as they require more prior knowledge of the process in the stage of the controller design. ILC requires much less information of the system variations to yield the desired dynamic be- haviors. Due to its simplicity and effectiveness, ILC has received considerable attention and applications in many areas for the past one and half decades. Most contributions have been focused on developing new ILC algorithms with property analysis. Since 1992, the research in ILC has progressed by leaps and bounds. On one hand,
出版日期Book 1998
關(guān)鍵詞Nonlinear system; Standard; automation; design; fuzzy; fuzzy logic; learning; robot; robotics; system; tables
版次1
doihttps://doi.org/10.1007/978-1-4615-5629-9
isbn_softcover978-1-4613-7575-3
isbn_ebook978-1-4615-5629-9
copyrightSpringer Science+Business Media New York 1998
The information of publication is updating

書目名稱Iterative Learning Control影響因子(影響力)




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書目名稱Iterative Learning Control網(wǎng)絡(luò)公開度學(xué)科排名




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https://doi.org/10.1007/978-1-4615-5629-9Nonlinear system; Standard; automation; design; fuzzy; fuzzy logic; learning; robot; robotics; system; tables
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Suguru Arimotoonmental protection and socio-economical objectives. It requires to build social consensus as well as to improve technical demonstration. At different levels of government — international and national — a number of sustainability indicators have been suggested in order to audit environmental perform
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Jian-Xin Xu,Zenn Z. Bienonmental protection and socio-economical objectives. It requires to build social consensus as well as to improve technical demonstration. At different levels of government — international and national — a number of sustainability indicators have been suggested in order to audit environmental perform
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Hak-Sung Lee,Zeungnam Bienintersecting concepts: community development, accepted standards of evaluation, and evaluation utilisation. Key to appropriateness and relevance in this instance is evaluation’s alignment with community development. As such, a review and critique of community development theory and presentation of a
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Suguru Arimotoaluation from the small non-profit perspective.Demonstrates .Research on evaluation shows that low-use and non-use of evaluation is common, yet evaluation is hailed as beneficial and worthwhile. The worth of evaluation is tied to its utilisation, presenting a paradox if evaluation is both revered an
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Jin Young Choi,Chong-Ho Choi,Hyun Joo Parkresearch studies, completing little tasks to accomplish HITs online. Understanding workers and crowdwork better is therefore key to develop a more effective and fair use of crowdsourcing for research. This chapter attempts to help develop an understanding of the various aspects of the crowd by drawi
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