| 書(shū)目名稱(chēng) | Model Predictive Control in the Process Industry |
| 編輯 | Eduardo Fernandez-Camacho,Carlos Bordons-Alba |
| 視頻video | http://file.papertrans.cn/636/635786/635786.mp4 |
| 叢書(shū)名稱(chēng) | Advances in Industrial Control |
| 圖書(shū)封面 |  |
| 描述 | Model Predictive Control is an important technique used in the process control industries. It has developed considerably in the last few years, because it is the most general way of posing the process control problem in the time domain. The Model Predictive Control formulation integrates optimal control, stochastic control, control of processes with dead time, multivariable control and future references. The finite control horizon makes it possible to handle constraints and non linear processes in general which are frequently found in industry. Focusing on implementation issues for Model Predictive Controllers in industry, it fills the gap between the empirical way practitioners use control algorithms and the sometimes abstractly formulated techniques developed by researchers. The text is firmly based on material from lectures given to senior undergraduate and graduate students and articles written by the authors. |
| 出版日期 | Book 1995 |
| 關(guān)鍵詞 | algorithms; control; model predictive control; optimal control; process control |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4471-3008-6 |
| isbn_softcover | 978-1-4471-3010-9 |
| isbn_ebook | 978-1-4471-3008-6Series ISSN 1430-9491 Series E-ISSN 2193-1577 |
| issn_series | 1430-9491 |
| copyright | Springer-Verlag London Limited 1995 |
|Archiver|手機(jī)版|小黑屋|
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