Incremental Model Predictive Control System Design And Implementation Using Matlab Simulink

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Model Predictive Control System Design and Implementation Using MATLAB®

Author : Liuping Wang
Publisher : Springer Science & Business Media
ISBN 13 : 1848823312
Total Pages : 398 pages
Book Rating : 4.8/5 (488 download)

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Book Synopsis Model Predictive Control System Design and Implementation Using MATLAB® by : Liuping Wang

Download or read book Model Predictive Control System Design and Implementation Using MATLAB® written by Liuping Wang and published by Springer Science & Business Media. This book was released on 2009-02-14 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

PID and Predictive Control of Electrical Drives and Power Converters using MATLAB / Simulink

Author : Liuping Wang
Publisher : John Wiley & Sons
ISBN 13 : 1118339444
Total Pages : 369 pages
Book Rating : 4.1/5 (183 download)

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Book Synopsis PID and Predictive Control of Electrical Drives and Power Converters using MATLAB / Simulink by : Liuping Wang

Download or read book PID and Predictive Control of Electrical Drives and Power Converters using MATLAB / Simulink written by Liuping Wang and published by John Wiley & Sons. This book was released on 2015-03-02 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: A timely introduction to current research on PID and predictive control by one of the leading authors on the subject PID and Predictive Control of Electric Drives and Power Supplies using MATLAB/Simulink examines the classical control system strategies, such as PID control, feed-forward control and cascade control, which are widely used in current practice. The authors share their experiences in actual design and implementation of the control systems on laboratory test-beds, taking the reader from the fundamentals through to more sophisticated design and analysis. The book contains sections on closed-loop performance analysis in both frequency domain and time domain, presented to help the designer in selection of controller parameters and validation of the control system. Continuous-time model predictive control systems are designed for the drives and power supplies, and operational constraints are imposed in the design. Discrete-time model predictive control systems are designed based on the discretization of the physical models, which will appeal to readers who are more familiar with sampled-data control system. Soft sensors and observers will be discussed for low cost implementation. Resonant control of the electric drives and power supply will be discussed to deal with the problems of bias in sensors and unbalanced three phase AC currents. Brings together both classical control systems and predictive control systems in a logical style from introductory through to advanced levels Demonstrates how simulation and experimental results are used to support theoretical analysis and the proposed design algorithms MATLAB and Simulink tutorials are given in each chapter to show the readers how to take the theory to applications. Includes MATLAB and Simulink software using xPC Target for teaching purposes A companion website is available Researchers and industrial engineers; and graduate students on electrical engineering courses will find this a valuable resource.

Advanced Control of Power Converters

Author : Hasan Komurcugil
Publisher : John Wiley & Sons
ISBN 13 : 1119854407
Total Pages : 468 pages
Book Rating : 4.1/5 (198 download)

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Book Synopsis Advanced Control of Power Converters by : Hasan Komurcugil

Download or read book Advanced Control of Power Converters written by Hasan Komurcugil and published by John Wiley & Sons. This book was released on 2023-08-01 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advanced Control of Power Converters Unique resource presenting advanced nonlinear control methods for power converters, plus simulation, controller design, analyses, and case studies Advanced Control of Power Converters equips readers with the latest knowledge of three control methods developed for power converters: nonlinear control methods such as sliding mode control, Lyapunov-function-based control, and model predictive control. Readers will learn about the design of each control method, and simulation case studies and results will be presented and discussed to point out the behavior of each control method in different applications. In this way, readers wishing to learn these control methods can gain insight on how to design and simulate each control method easily. The book is organized into three clear sections: introduction of classical and advanced control methods, design of advanced control methods, and case studies. Each control method is supported by simulation examples along with Simulink models which are provided on a separate website. Contributed to by five highly qualified authors, Advanced Control of Power Converters covers sample topics such as: Mathematical modeling of single- and three-phase grid-connected inverter with LCL filter, three-phase dynamic voltage restorer, design of sliding mode control and switching frequency computation under single- and double-band hysteresis modulations Modeling of single-phase UPS inverter and three-phase rectifier and their Lyapunov-function-based control design for global stability assurance Design of model predictive control for single-phase T-type rectifier, three-phase shunt active power filter, three-phase quasi-Z-source inverter, three-phase rectifier, distributed generation inverters in islanded ac microgrids How to realize the Simulink models in sliding mode control, Lyapunov-function-based control and model predictive control How to build and run a real-time model as well as rapid prototyping of power converter by using OPAL-RT simulator Advanced Control of Power Converters is an ideal resource on the subject for researchers, engineering professionals, and undergraduate/graduate students in electrical engineering and mechatronics; as an advanced level book, and it is expected that readers will have prior knowledge of power converters and control systems.

Predictive Control for Linear and Hybrid Systems

Author : Francesco Borrelli
Publisher : Cambridge University Press
ISBN 13 : 1107016886
Total Pages : 447 pages
Book Rating : 4.1/5 (7 download)

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Book Synopsis Predictive Control for Linear and Hybrid Systems by : Francesco Borrelli

Download or read book Predictive Control for Linear and Hybrid Systems written by Francesco Borrelli and published by Cambridge University Press. This book was released on 2017-06-22 with total page 447 pages. Available in PDF, EPUB and Kindle. Book excerpt: With a simple approach that includes real-time applications and algorithms, this book covers the theory of model predictive control (MPC).

Model Predictive Control

Author : James Blake Rawlings
Publisher :
ISBN 13 : 9780975937754
Total Pages : 770 pages
Book Rating : 4.9/5 (377 download)

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Book Synopsis Model Predictive Control by : James Blake Rawlings

Download or read book Model Predictive Control written by James Blake Rawlings and published by . This book was released on 2017 with total page 770 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Model Predictive Control in the Process Industry

Author : Eduardo F. Camacho
Publisher : Springer Science & Business Media
ISBN 13 : 1447130081
Total Pages : 250 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Model Predictive Control in the Process Industry by : Eduardo F. Camacho

Download or read book Model Predictive Control in the Process Industry written by Eduardo F. Camacho and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Computationally Efficient Model Predictive Control Algorithms

Author : Maciej Ławryńczuk
Publisher : Springer
ISBN 13 : 9783319350219
Total Pages : 0 pages
Book Rating : 4.3/5 (52 download)

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Book Synopsis Computationally Efficient Model Predictive Control Algorithms by : Maciej Ławryńczuk

Download or read book Computationally Efficient Model Predictive Control Algorithms written by Maciej Ławryńczuk and published by Springer. This book was released on 2016-08-27 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book thoroughly discusses computationally efficient (suboptimal) Model Predictive Control (MPC) techniques based on neural models. The subjects treated include: · A few types of suboptimal MPC algorithms in which a linear approximation of the model or of the predicted trajectory is successively calculated on-line and used for prediction. · Implementation details of the MPC algorithms for feed forward perceptron neural models, neural Hammerstein models, neural Wiener models and state-space neural models. · The MPC algorithms based on neural multi-models (inspired by the idea of predictive control). · The MPC algorithms with neural approximation with no on-line linearization. · The MPC algorithms with guaranteed stability and robustness. · Cooperation between the MPC algorithms and set-point optimization. Thanks to linearization (or neural approximation), the presented suboptimal algorithms do not require demanding on-line nonlinear optimization. The presented simulation results demonstrate high accuracy and computational efficiency of the algorithms. For a few representative nonlinear benchmark processes, such as chemical reactors and a distillation column, for which the classical MPC algorithms based on linear models do not work properly, the trajectories obtained in the suboptimal MPC algorithms are very similar to those given by the ``ideal'' MPC algorithm with on-line nonlinear optimization repeated at each sampling instant. At the same time, the suboptimal MPC algorithms are significantly less computationally demanding.

Model-Based Predictive Control

Author : J.A. Rossiter
Publisher : CRC Press
ISBN 13 : 135198859X
Total Pages : 323 pages
Book Rating : 4.3/5 (519 download)

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Book Synopsis Model-Based Predictive Control by : J.A. Rossiter

Download or read book Model-Based Predictive Control written by J.A. Rossiter and published by CRC Press. This book was released on 2017-07-12 with total page 323 pages. Available in PDF, EPUB and Kindle. Book excerpt: Model Predictive Control (MPC) has become a widely used methodology across all engineering disciplines, yet there are few books which study this approach. Until now, no book has addressed in detail all key issues in the field including apriori stability and robust stability results. Engineers and MPC researchers now have a volume that provides a complete overview of the theory and practice of MPC as it relates to process and control engineering. Model-Based Predictive Control, A Practical Approach, analyzes predictive control from its base mathematical foundation, but delivers the subject matter in a readable, intuitive style. The author writes in layman's terms, avoiding jargon and using a style that relies upon personal insight into practical applications. This detailed introduction to predictive control introduces basic MPC concepts and demonstrates how they are applied in the design and control of systems, experiments, and industrial processes. The text outlines how to model, provide robustness, handle constraints, ensure feasibility, and guarantee stability. It also details options in regard to algorithms, models, and complexity vs. performance issues.

Sustainable Technology and Advanced Computing in Electrical Engineering

Author : Vasundhara Mahajan
Publisher : Springer Nature
ISBN 13 : 9811943648
Total Pages : 1205 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Sustainable Technology and Advanced Computing in Electrical Engineering by : Vasundhara Mahajan

Download or read book Sustainable Technology and Advanced Computing in Electrical Engineering written by Vasundhara Mahajan and published by Springer Nature. This book was released on 2022-11-02 with total page 1205 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book includes peer-reviewed papers of the International Conference on Sustainable Technology and Advanced Computing in Electrical Engineering (ICSTACE 2021). The main focus of the book is electrical engineering. The conference aims to provide a global platform to the researchers for sharing and showcasing their discoveries/findings/innovations. The book focuses on the areas related to sustainable development and includes research works from academicians and industry experts. The book discusses new challenges and provides solutions at the interface of technology, information, complex systems, and future research directions.

Control System Design

Author : Graham Clifford Goodwin
Publisher : Pearson
ISBN 13 :
Total Pages : 952 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Control System Design by : Graham Clifford Goodwin

Download or read book Control System Design written by Graham Clifford Goodwin and published by Pearson. This book was released on 2001 with total page 952 pages. Available in PDF, EPUB and Kindle. Book excerpt: For both undergraduate and graduate courses in Control System Design. Using a "how to do it" approach with a strong emphasis on real-world design, this text provides comprehensive, single-source coverage of the full spectrum of control system design. Each of the text's 8 parts covers an area in control--ranging from signals and systems (Bode Diagrams, Root Locus, etc.), to SISO control (including PID and Fundamental Design Trade-Offs) and MIMO systems (including Constraints, MPC, Decoupling, etc.).

Process Modelling and Simulation

Author : César de Prada
Publisher : MDPI
ISBN 13 : 3039214551
Total Pages : 298 pages
Book Rating : 4.0/5 (392 download)

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Book Synopsis Process Modelling and Simulation by : César de Prada

Download or read book Process Modelling and Simulation written by César de Prada and published by MDPI. This book was released on 2019-09-23 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since process models are nowadays ubiquitous in many applications, the challenges and alternatives related to their development, validation, and efficient use have become more apparent. In addition, the massive amounts of both offline and online data available today open the door for new applications and solutions. However, transforming data into useful models and information in the context of the process industry or of bio-systems requires specific approaches and considerations such as new modelling methodologies incorporating the complex, stochastic, hybrid and distributed nature of many processes in particular. The same can be said about the tools and software environments used to describe, code, and solve such models for their further exploitation. Going well beyond mere simulation tools, these advanced tools offer a software suite built around the models, facilitating tasks such as experiment design, parameter estimation, model initialization, validation, analysis, size reduction, discretization, optimization, distributed computation, co-simulation, etc. This Special Issue collects novel developments in these topics in order to address the challenges brought by the use of models in their different facets, and to reflect state of the art developments in methods, tools and industrial applications.

Predictive Control

Author : Jan Marian Maciejowski
Publisher : Pearson Education
ISBN 13 : 9780201398236
Total Pages : 362 pages
Book Rating : 4.3/5 (982 download)

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Book Synopsis Predictive Control by : Jan Marian Maciejowski

Download or read book Predictive Control written by Jan Marian Maciejowski and published by Pearson Education. This book was released on 2002 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: Model predictive control is an indispensable part of industrial control engineering and is increasingly the "method of choice" for advanced control applications. Jan Maciejowski's book provides a systematic and comprehensive course on predictive control suitable for final year students and professional engineers. The first book to cover constrained predictive control, the text reflects the true use of the topic in industry.

System Design, Modeling, and Simulation

Author : Claudius Ptolemaeus
Publisher : Lee & Seshia
ISBN 13 : 1304421066
Total Pages : 687 pages
Book Rating : 4.3/5 (44 download)

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Book Synopsis System Design, Modeling, and Simulation by : Claudius Ptolemaeus

Download or read book System Design, Modeling, and Simulation written by Claudius Ptolemaeus and published by Lee & Seshia. This book was released on 2013-09-27 with total page 687 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a definitive introduction to models of computation for the design of complex, heterogeneous systems. It has a particular focus on cyber-physical systems, which integrate computing, networking, and physical dynamics. The book captures more than twenty years of experience in the Ptolemy Project at UC Berkeley, which pioneered many design, modeling, and simulation techniques that are now in widespread use. All of the methods covered in the book are realized in the open source Ptolemy II modeling framework and are available for experimentation through links provided in the book. The book is suitable for engineers, scientists, researchers, and managers who wish to understand the rich possibilities offered by modern modeling techniques. The goal of the book is to equip the reader with a breadth of experience that will help in understanding the role that such techniques can play in design.

Discrete Choice Methods with Simulation

Author : Kenneth Train
Publisher : Cambridge University Press
ISBN 13 : 0521766559
Total Pages : 399 pages
Book Rating : 4.5/5 (217 download)

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Book Synopsis Discrete Choice Methods with Simulation by : Kenneth Train

Download or read book Discrete Choice Methods with Simulation written by Kenneth Train and published by Cambridge University Press. This book was released on 2009-07-06 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the new generation of discrete choice methods, focusing on the many advances that are made possible by simulation. Researchers use these statistical methods to examine the choices that consumers, households, firms, and other agents make. Each of the major models is covered: logit, generalized extreme value, or GEV (including nested and cross-nested logits), probit, and mixed logit, plus a variety of specifications that build on these basics. Simulation-assisted estimation procedures are investigated and compared, including maximum stimulated likelihood, method of simulated moments, and method of simulated scores. Procedures for drawing from densities are described, including variance reduction techniques such as anithetics and Halton draws. Recent advances in Bayesian procedures are explored, including the use of the Metropolis-Hastings algorithm and its variant Gibbs sampling. The second edition adds chapters on endogeneity and expectation-maximization (EM) algorithms. No other book incorporates all these fields, which have arisen in the past 25 years. The procedures are applicable in many fields, including energy, transportation, environmental studies, health, labor, and marketing.

The British National Bibliography

Author : Arthur James Wells
Publisher :
ISBN 13 :
Total Pages : 1922 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis The British National Bibliography by : Arthur James Wells

Download or read book The British National Bibliography written by Arthur James Wells and published by . This book was released on 2009 with total page 1922 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Model Predictive Control System Design and Implementation Using MATLAB®

Author : Liuping Wang
Publisher : Springer Science & Business Media
ISBN 13 : 1848823304
Total Pages : 398 pages
Book Rating : 4.8/5 (488 download)

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Book Synopsis Model Predictive Control System Design and Implementation Using MATLAB® by : Liuping Wang

Download or read book Model Predictive Control System Design and Implementation Using MATLAB® written by Liuping Wang and published by Springer Science & Business Media. This book was released on 2009-03-04 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Control of Dead-time Processes

Author : Julio E. Normey-Rico
Publisher : Springer Science & Business Media
ISBN 13 : 1846288282
Total Pages : 474 pages
Book Rating : 4.8/5 (462 download)

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Book Synopsis Control of Dead-time Processes by : Julio E. Normey-Rico

Download or read book Control of Dead-time Processes written by Julio E. Normey-Rico and published by Springer Science & Business Media. This book was released on 2007-06-14 with total page 474 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text introduces the fundamental techniques for controlling dead-time processes from simple monovariable to complex multivariable cases. Dead-time-process-control problems are studied using classical proportional-integral-differential (PID) control for the simpler examples and dead-time-compensator (DTC) and model predictive control (MPC) methods for progressively more complex ones. Downloadable MATLAB® code makes the examples and ideas more convenient and simpler.