Lmis In Control Systems PDF Download
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| Author | : Guang-Ren Duan |
| Publisher | : CRC Press |
| Total Pages | : 483 |
| Release | : 2013-06-17 |
| Genre | : Computers |
| ISBN | : 1466583002 |
Download LMIs in Control Systems Book in PDF, ePub and Kindle
Although LMI has emerged as a powerful tool with applications across the major domains of systems and control, there has been a need for a textbook that provides an accessible introduction to LMIs in control systems analysis and design. Filling this need, LMIs in Control Systems: Analysis, Design and Applications focuses on the basic analysis and d
| Author | : Stephen Boyd |
| Publisher | : SIAM |
| Total Pages | : 203 |
| Release | : 1994-01-01 |
| Genre | : Mathematics |
| ISBN | : 9781611970777 |
Download Linear Matrix Inequalities in System and Control Theory Book in PDF, ePub and Kindle
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 |
Download Linear Matrix Inequalities in System and Control Theory Book in PDF, ePub and Kindle
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 | : Laurent El Ghaoui |
| Publisher | : SIAM |
| Total Pages | : 399 |
| Release | : 2000-01-01 |
| Genre | : Mathematics |
| ISBN | : 9780898719833 |
Download Advances in Linear Matrix Inequality Methods in Control Book in PDF, ePub and Kindle
Linear matrix inequalities (LMIs) have recently emerged as useful tools for solving a number of control problems. This book provides an up-to-date account of the LMI method and covers topics such as recent LMI algorithms, analysis and synthesis issues, nonconvex problems, and applications. It also emphasizes applications of the method to areas other than control.
| Author | : Yu Feng |
| Publisher | : Springer |
| Total Pages | : 142 |
| Release | : 2017-03-02 |
| Genre | : Technology & Engineering |
| ISBN | : 9811036772 |
Download Robust Control of Linear Descriptor Systems Book in PDF, ePub and Kindle
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 | : Matthew C. Turner |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 444 |
| Release | : 2007-10-23 |
| Genre | : Technology & Engineering |
| ISBN | : 1848000251 |
Download Mathematical Methods for Robust and Nonlinear Control Book in PDF, ePub and Kindle
The underlying theory on which much modern robust and nonlinear control is based can be difficult to grasp. This volume is a collection of lecture notes presented by experts in advanced control engineering. The book is designed to provide a better grounding in the theory underlying several important areas of control. It is hoped the book will help the reader to apply otherwise abstruse ideas of nonlinear control in a variety of real systems.
| Author | : William S. Levine |
| Publisher | : CRC Press |
| Total Pages | : 1580 |
| Release | : 1996-02-23 |
| Genre | : Technology & Engineering |
| ISBN | : 9780849385704 |
Download The Control Handbook Book in PDF, ePub and Kindle
This is the biggest, most comprehensive, and most prestigious compilation of articles on control systems imaginable. Every aspect of control is expertly covered, from the mathematical foundations to applications in robot and manipulator control. Never before has such a massive amount of authoritative, detailed, accurate, and well-organized information been available in a single volume. Absolutely everyone working in any aspect of systems and controls must have this book!
| Author | : Aleksandar Zecevic |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 233 |
| Release | : 2010-01-08 |
| Genre | : Science |
| ISBN | : 1441912169 |
Download Control of Complex Systems Book in PDF, ePub and Kindle
"Control of Complex Systems: Structural Constraints and Uncertainty" focuses on control design under information structure constraints, with a particular emphasis on large-scale systems. The complexity of such systems poses serious computational challenges and severely restricts the types of feedback laws that can be used in practice. This book systematically addresses the main issues, and provides a number of applications that illustrate potential design methods, most which use Linear Matrix Inequalities (LMIs), which have become a popular design tool over the past two decades. Authors Aleksandar I. Zecevic and Dragoslav D. Siljak use their years of experience in the control field to also: Address the issues of large-scale systems as they relate to robust control and linear matrix inequalities Discuss a new approach to applying standard LMI techniques to large-scale systems, combining graphic-theoretic decomposition techniques with appropriate low-rank numerical approximations and dramatically reducing the computational effort Providing numerous examples and a wide variety of applications, ranging from electric power systems and nonlinear circuits to mechanical problems and dynamic Boolean networks "Control of Complex Systems: Structural Constraints and Uncertainty" will appeal to practicing engineers, researchers and students working in control design and other related areas.
| Author | : Eric Ostertag |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 359 |
| Release | : 2011-01-03 |
| Genre | : Technology & Engineering |
| ISBN | : 3642137342 |
Download Mono- and Multivariable Control and Estimation Book in PDF, ePub and Kindle
This book presents the various design methods of a state-feedback control law and of an observer. The considered systems are of continuous-time and of discrete-time nature, monovariable or multivariable, the last ones being of main consideration. Three different approaches are described: • Linear design methods, with an emphasis on decoupling strategies, and a general formula for multivariable controller or observer design; • Quadratic optimization methods: Linear Quadratic Control (LQC), optimal Kalman filtering, Linear Quadratic Gaussian (LQG) control; • Linear matrix inequalities (LMIs) to solve linear and quadratic problems. The duality between control and observation is taken to advantage and extended up to the mathematical domain. A large number of exercises, all given with their detailed solutions, mostly obtained with MATLAB, reinforce and exemplify the practical orientation of this book. The programs, created by the author for their solving, are available on the Internet sites of Springer and of MathWorks for downloading. This book is targeted at students of Engineering Schools or Universities, at the Master’s level, at engineers desiring to design and implement innovative control methods, and at researchers.
| Author | : Ali Khaki-Sedigh |
| Publisher | : John Wiley & Sons |
| Total Pages | : 389 |
| Release | : 2023-12-19 |
| Genre | : Science |
| ISBN | : 1394196407 |
Download An Introduction to Data-Driven Control Systems Book in PDF, ePub and Kindle
An Introduction to Data-Driven Control Systems An introduction to the emerging dominant paradigm in control design Model-based approaches to control systems design have long dominated the control systems design methodologies. However, most models require substantial prior or assumed information regarding the plant’s structure and internal dynamics. The data-driven paradigm in control systems design, which has proliferated rapidly in recent decades, requires only observed input-output data from plants, making it more flexible and broadly applicable. An Introduction to Data-Driven Control Systems provides a foundational overview of data-driven control systems methodologies. It presents key concepts and theories in an accessible way, without the need for the complex mathematics typically associated with technical publications in the field, and raises the important issues involved in applying these approaches. The result is a highly readable introduction to what promises to become the dominant control systems design paradigm. Readers will also find: An overview of philosophical-historical issues accompanying the emergence of data-driven control systems Design analysis of several conventional data-driven control systems design methodologies Algorithms and simulation results, with numerous examples, to facilitate the implementation of methods An Introduction to Data-Driven Control Systems is ideal for students and researchers in control theory or any other research area related to plant design and production.
