Linear Matrix Inequality Based Robust Control Synthesis
Download Linear Matrix Inequality Based Robust Control Synthesis full books in PDF, epub, and Kindle. Read online free Linear Matrix Inequality Based Robust Control Synthesis ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Author | : |
Publisher | : |
Total Pages | : 124 |
Release | : 2006 |
Genre | : |
ISBN | : |
Linear Matrix Inequalities (LMIs) have appeared recently to be very efficient in matter of System and Control design. The purpose of this research is to express different problems of Control into an LMI formulation and to run some simulations to check the validity of these approaches. The two main problems looked at here are robust state feedback design and robust time delay filter design. From these two approaches, the concurrent robust state feedback/robust time delay filter design is studied in a third section. For the past ten years, some very efficient algorithms have been developed to solve linear matrix inequalities. For this thesis, the Matlab LMI toolbox has been used to run all the simulations. The results coincide in general with the theory and with the simulations done using different approaches.
Author | : Yoshio Ebihara |
Publisher | : Springer |
Total Pages | : 260 |
Release | : 2014-10-16 |
Genre | : Technology & Engineering |
ISBN | : 144716606X |
This book shows how the use of S-variables (SVs) in enhancing the range of problems that can be addressed with the already-versatile linear matrix inequality (LMI) approach to control can, in many cases, be put on a more unified, methodical footing. Beginning with the fundamentals of the SV approach, the text shows how the basic idea can be used for each problem (and when it should not be employed at all). The specific adaptations of the method necessitated by each problem are also detailed. The problems dealt with in the book have the common traits that: analytic closed-form solutions are not available; and LMIs can be applied to produce numerical solutions with a certain amount of conservatism. Typical examples are robustness analysis of linear systems affected by parametric uncertainties and the synthesis of a linear controller satisfying multiple, often conflicting, design specifications. For problems in which LMI methods produce conservative results, the SV approach is shown to achieve greater accuracy. The authors emphasize the simplicity and easy comprehensibility of the SV approach and show how it can be implemented in programs without difficulty so that its power becomes readily apparent. The S-variable Approach to LMI-based Robust Control is a useful reference for academic control researchers, applied mathematicians and graduate students interested in LMI methods and convex optimization and will also be of considerable assistance to practising control engineers faced with problems of conservatism in their systems and controllers.
Author | : Chih-Hung Huang |
Publisher | : |
Total Pages | : 216 |
Release | : 1996 |
Genre | : |
ISBN | : |
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 | : Laurent El Ghaoui |
Publisher | : SIAM |
Total Pages | : 371 |
Release | : 2000-01-01 |
Genre | : Mathematics |
ISBN | : 0898714389 |
An account of the LMI method, covering topics such as LMI algorithms, analysis and synthesis issues and nonconvex problems.
Author | : Keat-Choon Goh |
Publisher | : |
Total Pages | : 262 |
Release | : 1995 |
Genre | : |
ISBN | : |
Author | : Richard Charles Lind |
Publisher | : |
Total Pages | : 450 |
Release | : 1995 |
Genre | : Control theory |
ISBN | : |
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 | : Stephen Boyd |
Publisher | : SIAM |
Total Pages | : 193 |
Release | : 1994-01-01 |
Genre | : Mathematics |
ISBN | : 0898714850 |
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 | : Ricardo S. Sánchez-Peña |
Publisher | : Wiley-Interscience |
Total Pages | : 520 |
Release | : 1998-08-17 |
Genre | : Science |
ISBN | : |
Designed as a university textbook, this text on robust systems theory includes problems with every chapter, a solutions manual and Matlab files containing worked examples.