| Receding Horizon Control: Model Predictive Control for State Models 2005 Edition Contributor(s): Kwon, Wook Hyun (Author), Han, Soo Hee (Author) |
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ISBN: 1846280249 ISBN-13: 9781846280245 Publisher: Springer OUR PRICE: $85.49 Product Type: Paperback Published: June 2005 Annotation: Receding Horizon Control introduces the essentials of a successful feedback strategy that has emerged in many industrial fields: the process industries in particular. Receding horizon control (RHe has a number of advantages over other types of control: easier computation than steady-state optimal control; greater adaptability to parametric changes than infinite horizon control; better tracking than PID and good constraint handling among others. The text builds understanding starting with optimal controls for simple linear systems and working through constrained systems to nonlinear cases. RHC is applied to discrete-time systems for better understanding and easier computer application. Its diverse techniques are unified using the state-space framework. Worked examples and exercises throughout the book allow you to practise as you go and MATLABB. files for the solution of selected examples can be downloaded from springeronline.com. Graduate students following masters and doctoral courses in control theory and engineering will find Receding Horizon Control to be an excellent companion to tuition and research. Tutors and academics researching model predictive control can use this not only as a scholarly textbook but as a co-ordinated reference for its wide range of receding horizon schemes. |
| Additional Information |
| BISAC Categories: - Technology & Engineering | Electrical - Technology & Engineering | Chemical & Biochemical - Mathematics | Applied |
| Dewey: 629.8 |
| LCCN: 2005927907 |
| Series: Advanced Textbooks in Control and Signal Processing |
| Physical Information: 1" H x 6.1" W x 9.2" (1.20 lbs) 402 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: Receding Horizon Control introduces the essentials of a successful feedback strategy that has emerged in many industrial fields: the process industries in particular. Receding horizon control (RHC) has a number of advantages over other types of control: easier computation than steady-state optimal control; greater adaptability to parametric changes than infinite horizon control; better tracking than PID and good constraint handling among others. The text builds understanding starting with optimal controls for simple linear systems and working through constrained systems to nonlinear cases. RHC is applied to discrete-time systems for better understanding and easier computer application. Its diverse techniques are unified using the state-space framework. Worked examples and exercises throughout the book allow you to practise as you go and MATLAB(R) files for the solution of selected examples can be downloaded from springeronline.com. Graduate students following masters and doctoral courses in control theory and engineering will find Receding Horizon Control to be an excellent companion to tuition and research. Tutors and academics researching model predictive control can use this not only as a scholarly textbook but as a co-ordinated reference for its wide range of receding horizon schemes. |