Model Predictive Control in the Process Industry

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Release : 2012-12-06
Genre : Technology & Engineering
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Book Rating : 081/5 ( reviews)

Model Predictive Control in the Process Industry - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Model Predictive Control in the Process Industry write by Eduardo F. Camacho. This book was released on 2012-12-06. Model Predictive Control in the Process Industry available in PDF, EPUB and Kindle. 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.

Predictive Control for Linear and Hybrid Systems

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Release : 2017-06-22
Genre : Mathematics
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Book Rating : 886/5 ( reviews)

Predictive Control for Linear and Hybrid Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Predictive Control for Linear and Hybrid Systems write by Francesco Borrelli. This book was released on 2017-06-22. Predictive Control for Linear and Hybrid Systems available in PDF, EPUB and Kindle. With a simple approach that includes real-time applications and algorithms, this book covers the theory of model predictive control (MPC).

Model Predictive Control

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Release : 2013-01-10
Genre : Technology & Engineering
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Book Rating : 982/5 ( reviews)

Model Predictive Control - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Model Predictive Control write by Eduardo F. Camacho. This book was released on 2013-01-10. Model Predictive Control available in PDF, EPUB and Kindle. The second edition of "Model Predictive Control" provides a thorough introduction to theoretical and practical aspects of the most commonly used MPC strategies. It bridges the gap between the powerful but often abstract techniques of control researchers and the more empirical approach of practitioners. The book demonstrates that a powerful technique does not always require complex control algorithms. Many new exercises and examples have also been added throughout. Solutions available for download from the authors' website save the tutor time and enable the student to follow results more closely even when the tutor isn't present.

Model Predictive Control System Design and Implementation Using MATLAB®

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Release : 2009-02-14
Genre : Technology & Engineering
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Book Rating : 312/5 ( reviews)

Model Predictive Control System Design and Implementation Using MATLAB® - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Model Predictive Control System Design and Implementation Using MATLAB® write by Liuping Wang. This book was released on 2009-02-14. Model Predictive Control System Design and Implementation Using MATLAB® available in PDF, EPUB and Kindle. Model Predictive Control System Design and Implementation Using MATLAB® proposes methods for design and implementation of MPC systems using basis functions that confer the following advantages: - continuous- and discrete-time MPC problems solved in similar design frameworks; - a parsimonious parametric representation of the control trajectory gives rise to computationally efficient algorithms and better on-line performance; and - a more general discrete-time representation of MPC design that becomes identical to the traditional approach for an appropriate choice of parameters. After the theoretical presentation, coverage is given to three industrial applications. The subject of quadratic programming, often associated with the core optimization algorithms of MPC is also introduced and explained. The technical contents of this book is mainly based on advances in MPC using state-space models and basis functions. This volume includes numerous analytical examples and problems and MATLAB® programs and exercises.

Distributed Model Predictive Control Made Easy

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Release : 2013-11-10
Genre : Technology & Engineering
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Book Rating : 065/5 ( reviews)

Distributed Model Predictive Control Made Easy - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Distributed Model Predictive Control Made Easy write by José M. Maestre. This book was released on 2013-11-10. Distributed Model Predictive Control Made Easy available in PDF, EPUB and Kindle. The rapid evolution of computer science, communication, and information technology has enabled the application of control techniques to systems beyond the possibilities of control theory just a decade ago. Critical infrastructures such as electricity, water, traffic and intermodal transport networks are now in the scope of control engineers. The sheer size of such large-scale systems requires the adoption of advanced distributed control approaches. Distributed model predictive control (MPC) is one of the promising control methodologies for control of such systems. This book provides a state-of-the-art overview of distributed MPC approaches, while at the same time making clear directions of research that deserve more attention. The core and rationale of 35 approaches are carefully explained. Moreover, detailed step-by-step algorithmic descriptions of each approach are provided. These features make the book a comprehensive guide both for those seeking an introduction to distributed MPC as well as for those who want to gain a deeper insight in the wide range of distributed MPC techniques available.