Handbook of 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 Handbook of Model Predictive Control write by Saša V. Raković. This book was released on 2018-09-01. Handbook of Model Predictive Control available in PDF, EPUB and Kindle. Recent developments in model-predictive control promise remarkable opportunities for designing multi-input, multi-output control systems and improving the control of single-input, single-output systems. This volume provides a definitive survey of the latest model-predictive control methods available to engineers and scientists today. The initial set of chapters present various methods for managing uncertainty in systems, including stochastic model-predictive control. With the advent of affordable and fast computation, control engineers now need to think about using “computationally intensive controls,” so the second part of this book addresses the solution of optimization problems in “real” time for model-predictive control. The theory and applications of control theory often influence each other, so the last section of Handbook of Model Predictive Control rounds out the book with representative applications to automobiles, healthcare, robotics, and finance. The chapters in this volume will be useful to working engineers, scientists, and mathematicians, as well as students and faculty interested in the progression of control theory. Future developments in MPC will no doubt build from concepts demonstrated in this book and anyone with an interest in MPC will find fruitful information and suggestions for additional reading.
Model Predictive Control in the Process Industry
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.
Modern Predictive Control
Modern 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 Modern Predictive Control write by Ding Baocang. This book was released on 2018-10-03. Modern Predictive Control available in PDF, EPUB and Kindle. Modern Predictive Control explains how MPC differs from other control methods in its implementation of a control action. Most importantly, MPC provides the flexibility to act while optimizing—which is essential to the solution of many engineering problems in complex plants, where exact modeling is impossible. The superiority of MPC is in its numerical solution. Usually, MPC is employed to solve a finite-horizon optimal control problem at each sampling instant and obtain control actions for both the present time and a future period. However, only the current control move is applied to the plant. This complete, step-by-step exploration of various approaches to MPC: Introduces basic concepts of systems, modeling, and predictive control, detailing development from classical MPC to synthesis approaches Explores use of Model Algorithmic Control (MAC), Dynamic Matrix Control (DMC), Generalized Predictive Control (GPC), and Two-Step Model Predictive Control Identifies important general approaches to synthesis Discusses open-loop and closed-loop optimization in synthesis approaches Covers output feedback synthesis approaches with and without a finite switching horizon This book gives researchers a variety of models for use with one- and two-step control. The author clearly explains the variations between predictive control methods—and the root of these differences—to illustrate that there is no one ideal MPC and that one should remain open to selecting the best possible model in each unique circumstance.
Model Predictive Control Handbook
Model Predictive Control Handbook - 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 Handbook write by Steve Bailey. This book was released on 2015-02-09. Model Predictive Control Handbook available in PDF, EPUB and Kindle. This book provides elucidative information regarding Model Predictive Control (MPC). Model predictive control is that part of control algorithms in which a progressive method structure is utilized to foretell and improve process work. Also, it can be viewed as an expression demonstrating a typical restrain scheme that replicates the human thinking capability most efficiently. Nearly 50 years after its origin, it is vastly being welcomed in lot of spheres of engineering and is proving to be very advantageous. The book focuses on the latest developments in the field of MPC, in practice and theory, and structured in a way to provide in-depth knowledge to the practitioners and discoverers who want to gain information about the perimeters of MPC research. The book deals with the limits of MPC in theory and provides enough examples to enable us to understand them. It also portrays the practical usage of MPC in recent engineering spheres. As analytical and structural technology is growing rapidly, MPC will remain at the forefront even in the future.
Distributed Model Predictive Control Made Easy
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.
