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Practical Methods for Optimal Control Using Nonlinear Programming, John T. Betts


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Автор: John T. Betts
Название:  Practical Methods for Optimal Control Using Nonlinear Programming
ISBN: 9781611976182
Издательство: Mare Nostrum (Eurospan)
Классификация:

ISBN-10: 1611976189
Обложка/Формат: Hardback
Страницы: 765
Вес: 1.72 кг.
Дата издания: 30.11.2020
Серия: Advances in design and control
Язык: English
Издание: Third edition
Размер: 189 x 263 x 51
Ключевые слова: Applied mathematics,Optimization
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Поставляется из: Англии
Описание: How do you fly an airplane from one point to another as fast as possible? What is the best way to administer a vaccine to fight the harmful effects of disease? What is the most efficient way to produce a chemical substance? This book presents practical methods for solving real optimal control problems such as these.This third edition focuses on the direct transcription method for optimal control, and features: A summary of relevant material in constrained optimization, including nonlinear programming.Discretization techniques appropriate for ordinary differential equations and differential-algebraic equations.Several examples and descriptions of computational algorithm formulations that implement this discretize-then-optimize strategy.The third edition has been thoroughly updated and includes:New material on implicit Runge–Kutta discretization techniques.New chapters on partial differential equations and delay equations.More than 70 test problems and open source FORTRAN code for all of the problems.This book will be valuable for academic and industrial research and development in optimal control theory and applications. It is appropriate as a primary or supplementary text for advanced undergraduate and graduate students.
Дополнительное описание: Applied mathematics|Optimization



Predictive Control for Linear and Hybrid Systems

Автор: Borrelli
Название: Predictive Control for Linear and Hybrid Systems
ISBN: 1107652871 ISBN-13(EAN): 9781107652873
Издательство: Cambridge Academ
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Цена: 9502.00 р.
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Описание: With a simple, unified approach, and with consideration of real-time applications, this book covers the theory of stability, feasibility, and robustness of model predictive control (MPC). It is for graduate and postgraduate students, as well as advanced control practitioners interested in the theory and/or implementation of predictive control.

Linear and Nonlinear Programming

Автор: David G. Luenberger; Yinyu Ye
Название: Linear and Nonlinear Programming
ISBN: 1441945040 ISBN-13(EAN): 9781441945044
Издательство: Springer
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Цена: 11878.00 р.
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Описание: This third edition of the classic textbook in Optimization has been fully revised and updated. The book connects the purely analytical character of an optimization problem, and the behavior of algorithms used to solve it. Now, the third edition has been completely updated with recent Optimization Methods.

Predictive Control for Linear and Hybrid Systems

Автор: Borrelli
Название: Predictive Control for Linear and Hybrid Systems
ISBN: 1107016886 ISBN-13(EAN): 9781107016880
Издательство: Cambridge Academ
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Цена: 19800.00 р.
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Описание: Model Predictive Control (MPC), the dominant advanced control approach in industry over the past twenty-five years, is presented comprehensively in this unique book. With a simple, unified approach, and with attention to real-time implementation, it covers predictive control theory including the stability, feasibility, and robustness of MPC controllers. The theory of explicit MPC, where the nonlinear optimal feedback controller can be calculated efficiently, is presented in the context of linear systems with linear constraints, switched linear systems, and, more generally, linear hybrid systems. Drawing upon years of practical experience and using numerous examples and illustrative applications, the authors discuss the techniques required to design predictive control laws, including algorithms for polyhedral manipulations, mathematical and multiparametric programming and how to validate the theoretical properties and to implement predictive control policies. The most important algorithms feature in an accompanying free online MATLAB toolbox, which allows easy access to sample solutions. Predictive Control for Linear and Hybrid Systems is an ideal reference for graduate, postgraduate and advanced control practitioners interested in theory and/or implementation aspects of predictive control.

Nonlinear Optimal Control Theory

Автор: Berkovitz
Название: Nonlinear Optimal Control Theory
ISBN: 1466560266 ISBN-13(EAN): 9781466560260
Издательство: Taylor&Francis
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Цена: 22202.00 р.
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Описание:

Nonlinear Optimal Control Theory presents a deep, wide-ranging introduction to the mathematical theory of the optimal control of processes governed by ordinary differential equations and certain types of differential equations with memory. Many examples illustrate the mathematical issues that need to be addressed when using optimal control techniques in diverse areas.

Drawing on classroom-tested material from Purdue University and North Carolina State University, the book gives a unified account of bounded state problems governed by ordinary, integrodifferential, and delay systems. It also discusses Hamilton-Jacobi theory. By providing a sufficient and rigorous treatment of finite dimensional control problems, the book equips readers with the foundation to deal with other types of control problems, such as those governed by stochastic differential equations, partial differential equations, and differential games.

Algebraic Methods for Nonlinear Control Systems

Автор: Giuseppe Conte; Claude H. Moog; Anna Maria Perdon
Название: Algebraic Methods for Nonlinear Control Systems
ISBN: 1849966257 ISBN-13(EAN): 9781849966252
Издательство: Springer
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Цена: 15672.00 р.
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Описание: This is a self-contained introduction to algebraic control for nonlinear systems suitable for researchers and graduate students. It is the first book dealing with the linear-algebraic approach to nonlinear control systems in such a detailed and extensive fashion.

Algebraic and Differential Methods for Nonlinear Control Theory

Автор: Rafael Mart?nez-Guerra; Oscar Mart?nez-Fuentes; Ju
Название: Algebraic and Differential Methods for Nonlinear Control Theory
ISBN: 3030120244 ISBN-13(EAN): 9783030120245
Издательство: Springer
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Цена: 16769.00 р.
Наличие на складе: Поставка под заказ.

Описание: This book is a short primer in engineering mathematics with a view on applications in nonlinear control theory. In particular, it introduces some elementary concepts of commutative algebra and algebraic geometry which offer a set of tools quite different from the traditional approaches to the subject matter. This text begins with the study of elementary set and map theory. Chapters 2 and 3 on group theory and rings, respectively, are included because of their important relation to linear algebra, the group of invertible linear maps (or matrices) and the ring of linear maps of a vector space. Homomorphisms and Ideals are dealt with as well at this stage. Chapter 4 is devoted to the theory of matrices and systems of linear equations. Chapter 5 gives some information on permutations, determinants and the inverse of a matrix. Chapter 6 tackles vector spaces over a field, Chapter 7 treats linear maps resp. linear transformations, and in addition the application in linear control theory of some abstract theorems such as the concept of a kernel, the image and dimension of vector spaces are illustrated. Chapter 8 considers the diagonalization of a matrix and their canonical forms. Chapter 9 provides a brief introduction to elementary methods for solving differential equations and, finally, in Chapter 10, nonlinear control theory is introduced from the point of view of differential algebra.

Optimal Operation and Control of Power Systems Using an Algebraic Modelling Language

Автор: Nwulu Nnamdi, Gbadamosi Saheed Lekan
Название: Optimal Operation and Control of Power Systems Using an Algebraic Modelling Language
ISBN: 3030003949 ISBN-13(EAN): 9783030003944
Издательство: Springer
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Цена: 16769.00 р.
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Описание: This book presents mathematical models of demand-side management programs, together with operational and control problems for power and renewable energy systems.


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