Model Predictive Control in the Process Industry is popular PDF and ePub book, written by Eduardo F. Camacho in 2012-12-06, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Model Predictive Control in the Process Industry can be Read Online from any device for your convenience.
Model Predictive Control in the Process Industry Book PDF Summary
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.
Detail Book of Model Predictive Control in the Process Industry PDF
- Author : Eduardo F. Camacho
- Release : 06 December 2012
- Publisher : Springer Science & Business Media
- ISBN : 9781447130086
- Genre : Technology & Engineering
- Total Page : 250 pages
- Language : English
- PDF File Size : 10,8 Mb
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