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蒙其·D·魯夫(モンキー?D?ルフィ)是ONE PIECE(海賊王、航海王)裡海賊團“草帽小子”的船長。他的口頭禪是「我要成為海賊王!」(日語:海賊王に、おれはなる!)。

真的超喜歡魯夫的,有霸氣的魯夫真的好帥喔!所以連九蛇族裡那位性感的王下七武海女帝-波雅·漢考克也都受不了他天然呆的霸氣,所以Google了一下魯夫的名字,原來魯夫Luffy這個名字有迎風航行的意思,而蒙其(Monkey)這個姓氏,正好和英文裡的「猴子」一樣,難怪橡膠人魯夫專長之一可以像猴子一樣盪來盪去。



Nonlinear Process Control

魯夫的夥伴有索隆、娜美、騙人布、香吉士、·喬巴、妮可·羅賓、佛朗基、布魯克及海賊船梅利號,ONE PIECE的作者是尾田榮一郎,他畫的《航海王》,從一九九七年開始連載,當時的他才二十二歲…無聊的人可以算一下作者現在幾歲?希望他可以跟多啦A夢(小町噹)一樣…永遠都有新奇的故事,航海王真是百看不膩的動漫之一。



商品網址: http://www.books.com.tw/exep/assp.php/zoe7.web/products/0010404240

商品訊息簡述:

  • 出版社:新月 \限定版\

    新功能介紹

  • 出版日期:1996/03/01
  • 語言:英文


Nonlinear Process Control

商品網址: http://www.books.com.tw/exep/assp.php/zoe7.web/products/0010404240

商品訊息功能:

商品網址: http://www.books.com.tw/exep/assp.php/zoe7.web/products/0010404240

商品訊息描述:

Many common industrial process control problems exhibit nonlinear behavior, and the limitations of traditional linear controllers in managing these processes have become increasingly apparent. Meanwhile, new model-based controller design strategies—coupled with more inexpensive and powerful computer—have made nonlinear process control much more practical. As a result, understanding nonlinear process control has become a high priority in both industry and academia.

Nonlinear Process Control assembles the latest theoretical and practical research on design, analysis and application of nonlinear process control strategies. It presents detailed coverage of all three major elements of nonlinear process control: identification, controller design, and state estimation.

An introductory chapter outlines the issues driving nonlinear process control research, as well as several classic techniques. The book then offers a detailed introduction to nonlinear process modeling, which is central to every nonlinear control strategy.

Once the fundamentals are understood, Nonlinear Process Control covers two leading approaches: input/output linearization and nonlinear predictive control. The book also shows how to design nonlinear state observers that permit control even if on-line measurements of all state variables cannot be obtained.

Finally, the book discusses new techniques for obtaining nonlinear empirical models using artificial neural networks, which are becoming increasingly prevalent in industry.

Nonlinear Process Control reflects the contributions of eleven leading researchers in the field.

It is an ideal textbook for graduate courses in process control, as well as a concise, up-to-date reference for control engineers.



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