Название: Robust control design with MATLAB
Автор: Petkov P., Gu D.
Издательство: Springer
Год: 2005
Страниц: 389
Формат: pdf
Размер:5.3 Mb
Язык: English

Аннотация.
Robustness is often of crucial importance in control system design. Real engineering systems are vulnerable to external disturbance and measurement noise and there are always discrepancies between mathematical models used for design and the actual system in practice.
Robust Control Design with MATLAB® helps you learn how to use well-developed advanced robust control design methods in practical cases. To this end, several realistic control design examples ranging from teaching-laboratory experiments, such as a mass–damper–spring assembly, to complex systems like a flexible link manipulator are given detailed presentation. All the design exercises are conducted using MATLAB® Robust Control Toolbox, Control System Toolbox and Simulink®.

Название: Introdution to applied optimization
Автор: Diwekar U.
Издательство: Springer
Год: 2008
Страниц: 292
Формат: pdf
Размер: 3.84Mb
Язык: english

Аннотация.
The wide scope of optimization mandates extensive interaction between various disciplines in the development of the methods and algorithms, and in their fruitful application to real-world problems.
This book presents a discipline-independent view of optimization, providing opportunities for students to identify and apply algorithms, methods, and tools from the diverse areas of optimization to their own fields without getting into too much detail about the underlying theories. The second edition of this book includes two new chapters: a chapter on global optimization and a real-world case study that uses principles from each chapter.

Название: Introduction to linear optimization
Автор: Bertsimas D.
Издательство: Athena Scientific
Год: 1997
Страниц: 608
Формат: pdf
Размер: 11.31 Mb
Язык: English

Аннотация.
This book provides a unified, insightful, and modern treatment of linear optimization, that is, linear programming, network flow problems, and discrete optimization. It includes classical topics as well as the state of the art, in both theory and practice.
Review
"The true merit of this book, however, lies in its pedagogical qualities which are so impressive..." "Throughout the book, the authors make serious efforts to give geometric and intuitive explanations of various algebraic concepts, and they are widely successful in this effort." "In conclusion, this is an outstanding textbook that presents linear optimization in a truly modern and up-to-date light. One reading of this book is sufficient to appreciate the tremendous amount of quality effort that the authors have put into the writing, and I strongly recommend it to all teachers, researchers and practitioners of mathematical programming."

Название: Nonlinear Programming
Автор: Bertsekas D.P.
Издательство: Athena Scientific
Год: 1999
Страниц: 802
Формат: pdf
Размер: 22.68Mb
Качетсво: нормальное
Язык: English

Аннотация.
This extensive rigorous texbook, developed through instruction at MIT, focuses on nonlinear and other types of optimization: iterative algorithms for constrained and unconstrained optimization, Lagrange multipliers and duality, large scale problems, and the interface between continuous and discrete optimization.

Название: Numerical Optimization
Автор: Jorge Nocedal
Издательство: Springer
Год: 2006
Страниц: 664
Формат: pdf
Размер: 3.82 Mb
Язык: english

Аннотация.
Numerical Optimization presents a comprehensive and up-to-date description of the most effective methods in continuous optimization. It responds to the growing interest in optimization in engineering, science, and business by focusing on the methods that are best suited to practical problems.
For this new edition the book has been thoroughly updated throughout. There are new chapters on nonlinear interior methods and derivative-free methods for optimization, both of which are used widely in practice and the focus of much current research. Because of the emphasis on practical methods, as well as the extensive illustrations and exercises, the book is accessible to a wide audience. It can be used as a graduate text in engineering, operations research, mathematics, computer science, and business.

Название: Classification, Parameter Estimation, and State Estimation An Engineering Approach Using MATLAB
Автор: Ferdinand van der Heijden , Robert Duin , Dick de Ridder
Издательство: Wiley
Год: 2004
Страниц: 440
Формат: pdf
Размер: 5.94 Mb
Язык: English

Аннотация.
Classification, Parameter Estimation and State Estimation is a practical guide for data analysts and designers of measurement systems and postgraduates students that are interested in advanced measurement systems using MATLAB. 'Prtools' is a powerful MATLAB toolbox for pattern recognition and is written and owned by one of the co-authors, B. Duin of the Delft University of Technology.
After an introductory chapter, the book provides the theoretical construction for classification, estimation and state estimation. The book also deals with the skills required to bring the theoretical concepts to practical systems, and how to evaluate these systems. Together with the many examples in the chapters, the book is accompanied by a MATLAB toolbox for pattern recognition and classification. The appendix provides the necessary documentation for this toolbox as well as an overview of the most useful functions from these toolboxes. With its integrated and unified approach to classification, parameter estimation and state estimation, this book is a suitable practical supplement in existing university courses in pattern classification, optimal estimation and data analysis.

Название: Linear programming with MATLAB
Автор: Ferris M.C.
Издательтсво: Society for Industrial Mathematics
Год: 2008
Страниц: 280
Размер: 2.4 Mb
Формат: pdf
Язык: английский

Аннотация.
This textbook provides a self-contained introduction to linear programming using MATLAB® software to elucidate the development of algorithms and theory. Early chapters cover linear algebra basics, the simplex method, duality, the solving of large linear problems, sensitivity analysis, and parametric linear programming. In later chapters, the authors discuss quadratic programming, linear complementarity, interior-point methods, and selected applications of linear programming to approximation and classification problems. Exercises are interwoven with the theory presented in each chapter, and two appendices provide additional information on linear algebra, convexity, nonlinear functions, and on available MATLAB commands, respectively. Readers can access MATLAB codes and associated mex files at a Web site maintained by the authors. Only a basic knowledge of linear algebra and calculus is required to understand this textbook, which is geared toward junior and senior-level undergraduate students, first-year graduate students, and researchers unfamiliar with linear programming.