Sign In | Not yet a member? | Submit your article
 
Home   Technical   Study   Novel   Nonfiction   Health   Tutorial   Entertainment   Business   Magazine   Arts & Design   Audiobooks & Video Training   Cultures & Languages   Family & Home   Law & Politics   Lyrics & Music   Software Related   eBook Torrents   Uncategorized  
Letters: A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

Model Predictive Control System Design and Implementation Using MATLAB (Advances in Industrial Control)
Model Predictive Control System Design and Implementation Using MATLAB (Advances in Industrial Control)
Date: 30 April 2011, 09:07

Free Download Now     Free register and download UseNet downloader, then you can FREE Download from UseNet.

    Download without Limit " Model Predictive Control System Design and Implementation Using MATLAB (Advances in Industrial Control) " from UseNet for FREE!
Model Predictive Control (MPC) is unusual in receiving on-going interest in both industrial and academic circles. Issues such as plant optimization and constrained control which are critical to industrial engineers are naturally embedded in its designs.
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, detailed coverage is given to three industrial applications: a food extruder, a motor and a magnetic bearing system. 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, mainly based on advances in MPC using state-space models and basis functions – to which the author is a major contributor, will be of interest to control researchers and practitioners, especially of process control. From a pedagogical standpoint, this volume includes numerous simple analytical examples and every chapter contains problems and MATLAB® programs and exercises to assist the student.
Related Articles:
Design  

DISCLAIMER:

This site does not store Model Predictive Control System Design and Implementation Using MATLAB (Advances in Industrial Control) on its server. We only index and link to Model Predictive Control System Design and Implementation Using MATLAB (Advances in Industrial Control) provided by other sites. Please contact the content providers to delete Model Predictive Control System Design and Implementation Using MATLAB (Advances in Industrial Control) if any and email us, we'll remove relevant links or contents immediately.



Comments

Comments (0) All

Verify: Verify

    Sign In   Not yet a member?


Popular searches