Unstably Weighted Robust Control Synthesis Via Linear Matrix Inequalities And Matrix Pencils
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| Author | : Yu Feng |
| Publisher | : Springer |
| Total Pages | : 148 |
| Release | : 2017-03-02 |
| Genre | : Technology & Engineering |
| ISBN | : 9811036772 |
This book develops original results regarding singular dynamic systems following two different paths. The first consists of generalizing results from classical state-space cases to linear descriptor systems, such as dilated linear matrix inequality (LMI) characterizations for descriptor systems and performance control under regulation constraints. The second is a new path, which considers descriptor systems as a powerful tool for conceiving new control laws, understanding and deciphering some controller’s architecture and even homogenizing different—existing—ways of obtaining some new and/or known results for state-space systems. The book also highlights the comprehensive control problem for descriptor systems as an example of using the descriptor framework in order to transform a non-standard control problem into a classic stabilization control problem. In another section, an accurate solution is derived for the sensitivity constrained linear optimal control also using the descriptor framework. The book is intended for graduate and postgraduate students, as well as researchers in the field of systems and control theory.
| Author | : |
| Publisher | : |
| Total Pages | : 860 |
| Release | : 1997 |
| Genre | : Dissertations, Academic |
| ISBN | : |
| Author | : |
| Publisher | : |
| Total Pages | : 514 |
| Release | : 1996 |
| Genre | : Aeronautics |
| ISBN | : |
| Author | : Da-Wei Gu |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 832 |
| Release | : 2005-06-20 |
| Genre | : Technology & Engineering |
| ISBN | : 9781852339838 |
Shows readers how to exploit the capabilities of the MATLAB® Robust Control and Control Systems Toolboxes to the fullest using practical robust control examples.
| Author | : Stephen Boyd |
| Publisher | : SIAM |
| Total Pages | : 203 |
| Release | : 1994-01-01 |
| Genre | : Mathematics |
| ISBN | : 9781611970777 |
In this book the authors reduce a wide variety of problems arising in system and control theory to a handful of convex and quasiconvex optimization problems that involve linear matrix inequalities. These optimization problems can be solved using recently developed numerical algorithms that not only are polynomial-time but also work very well in practice; the reduction therefore can be considered a solution to the original problems. This book opens up an important new research area in which convex optimization is combined with system and control theory, resulting in the solution of a large number of previously unsolved problems.
| Author | : Uwe Mackenroth |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 524 |
| Release | : 2013-04-17 |
| Genre | : Mathematics |
| ISBN | : 3662097753 |
Self-contained introduction to control theory that emphasizes on the most modern designs for high performance and robustness. It assumes no previous coursework and offers three chapters of key topics summarizing classical control. To provide readers with a deeper understanding of robust control theory than would be otherwise possible, the text incorporates mathematical derivations and proofs. Includes many elementary examples and advanced case studies using MATLAB Toolboxes.
| Author | : Aharon Ben-Tal |
| Publisher | : SIAM |
| Total Pages | : 500 |
| Release | : 2001-01-01 |
| Genre | : Technology & Engineering |
| ISBN | : 0898714915 |
Here is a book devoted to well-structured and thus efficiently solvable convex optimization problems, with emphasis on conic quadratic and semidefinite programming. The authors present the basic theory underlying these problems as well as their numerous applications in engineering, including synthesis of filters, Lyapunov stability analysis, and structural design. The authors also discuss the complexity issues and provide an overview of the basic theory of state-of-the-art polynomial time interior point methods for linear, conic quadratic, and semidefinite programming. The book's focus on well-structured convex problems in conic form allows for unified theoretical and algorithmical treatment of a wide spectrum of important optimization problems arising in applications.
| Author | : Yousef Saad |
| Publisher | : SIAM |
| Total Pages | : 292 |
| Release | : 2011-01-01 |
| Genre | : Mathematics |
| ISBN | : 9781611970739 |
This revised edition discusses numerical methods for computing eigenvalues and eigenvectors of large sparse matrices. It provides an in-depth view of the numerical methods that are applicable for solving matrix eigenvalue problems that arise in various engineering and scientific applications. Each chapter was updated by shortening or deleting outdated topics, adding topics of more recent interest, and adapting the Notes and References section. Significant changes have been made to Chapters 6 through 8, which describe algorithms and their implementations and now include topics such as the implicit restart techniques, the Jacobi-Davidson method, and automatic multilevel substructuring.
| Author | : Yurii Nesterov |
| Publisher | : SIAM |
| Total Pages | : 414 |
| Release | : 1994-01-01 |
| Genre | : Mathematics |
| ISBN | : 9781611970791 |
Specialists working in the areas of optimization, mathematical programming, or control theory will find this book invaluable for studying interior-point methods for linear and quadratic programming, polynomial-time methods for nonlinear convex programming, and efficient computational methods for control problems and variational inequalities. A background in linear algebra and mathematical programming is necessary to understand the book. The detailed proofs and lack of "numerical examples" might suggest that the book is of limited value to the reader interested in the practical aspects of convex optimization, but nothing could be further from the truth. An entire chapter is devoted to potential reduction methods precisely because of their great efficiency in practice.
| Author | : |
| Publisher | : |
| Total Pages | : 782 |
| Release | : 1999 |
| Genre | : Mathematics |
| ISBN | : |
