New Results On Practical Stability For Linear And Nonlinear Uncertain Systems PDF Download
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Author | : Laura Celentano |
Publisher | : Edizioni Nuova Cultura |
Total Pages | : 72 |
Release | : 2012 |
Genre | : Mathematics |
ISBN | : 8861347975 |
Download New Results on Practical Stability for Linear and Nonlinear Uncertain Systems Book in PDF, ePub and Kindle
Author | : Vangipuram Lakshmikantham |
Publisher | : World Scientific |
Total Pages | : 219 |
Release | : 1990-11-14 |
Genre | : Mathematics |
ISBN | : 9814551902 |
Download Practical Stability Of Nonlinear Systems Book in PDF, ePub and Kindle
This is the first book that deals with practical stability and its development. It presents a systematic study of the theory of practical stability in terms of two different measures and arbitrary sets and demonstrates the manifestations of general Lyapunov's method by showing how this effective technique can be adapted to investigate various apparently diverse nonlinear problems including control systems and multivalued differential equations.
Author | : Ivanka Stamova |
Publisher | : CRC Press |
Total Pages | : 134 |
Release | : 2017-03-03 |
Genre | : Mathematics |
ISBN | : 1315350440 |
Download Functional and Impulsive Differential Equations of Fractional Order Book in PDF, ePub and Kindle
The book presents qualitative results for different classes of fractional equations, including fractional functional differential equations, fractional impulsive differential equations, and fractional impulsive functional differential equations, which have not been covered by other books. It manifests different constructive methods by demonstrating how these techniques can be applied to investigate qualitative properties of the solutions of fractional systems. Since many applications have been included, the demonstrated techniques and models can be used in training students in mathematical modeling and in the study and development of fractional-order models.
Author | : Vangipuram Lakshmikantham |
Publisher | : Birkhäuser |
Total Pages | : 329 |
Release | : 2015-12-29 |
Genre | : Mathematics |
ISBN | : 3319272004 |
Download Stability Analysis of Nonlinear Systems Book in PDF, ePub and Kindle
The book investigates stability theory in terms of two different measure, exhibiting the advantage of employing families of Lyapunov functions and treats the theory of a variety of inequalities, clearly bringing out the underlying theme. It also demonstrates manifestations of the general Lyapunov method, showing how this technique can be adapted to various apparently diverse nonlinear problems. Furthermore it discusses the application of theoretical results to several different models chosen from real world phenomena, furnishing data that is particularly relevant for practitioners. Stability Analysis of Nonlinear Systems is an invaluable single-sourse reference for industrial and applied mathematicians, statisticians, engineers, researchers in the applied sciences, and graduate students studying differential equations.
Author | : Yu Kang |
Publisher | : Springer |
Total Pages | : 193 |
Release | : 2017-09-08 |
Genre | : Technology & Engineering |
ISBN | : 9811038600 |
Download Stability Analysis of Markovian Jump Systems Book in PDF, ePub and Kindle
This book focuses on the stability analysis of Markovian jump systems (MJSs) with various settings and discusses its applications in several different areas. It also presents general definitions of the necessary concepts and an overview of the recent developments in MJSs. Further, it addresses the general robust problem of Markovian jump linear systems (MJLSs), the asynchronous stability of a class of nonlinear systems, the robust adaptive control scheme for a class of nonlinear uncertain MJSs, the practical stability of MJSs and its applications as a modelling tool for networked control systems, Markovian-based control for wheeled mobile manipulators and the jump-linear-quadratic (JLQ) problem of a class of continuous-time MJLSs. It is a valuable resource for researchers and graduate students in the field of control theory and engineering.
Author | : Miroslav Krstić |
Publisher | : |
Total Pages | : 0 |
Release | : 1998 |
Genre | : Feedback control systems |
ISBN | : |
Download Stabilization of Nonlinear Uncertain Systems Book in PDF, ePub and Kindle
Author | : A.A. Martynyuk |
Publisher | : CRC Press |
Total Pages | : 310 |
Release | : 2011-11-28 |
Genre | : Mathematics |
ISBN | : 1439876878 |
Download Uncertain Dynamical Systems Book in PDF, ePub and Kindle
This self-contained book provides systematic instructive analysis of uncertain systems of the following types: ordinary differential equations, impulsive equations, equations on time scales, singularly perturbed differential equations, and set differential equations. Each chapter contains new conditions of stability of unperturbed motion of the abo
Author | : Abdellatif Ben Makhlouf |
Publisher | : Springer Nature |
Total Pages | : 439 |
Release | : 2023-11-06 |
Genre | : Technology & Engineering |
ISBN | : 3031379705 |
Download State Estimation and Stabilization of Nonlinear Systems Book in PDF, ePub and Kindle
This book presents the separation principle which is also known as the principle of separation of estimation and control and states that, under certain assumptions, the problem of designing an optimal feedback controller for a stochastic system can be solved by designing an optimal observer for the system's state, which feeds into an optimal deterministic controller for the system. Thus, the problem may be divided into two halves, which simplifies its design. In the context of deterministic linear systems, the first instance of this principle is that if a stable observer and stable state feedback are built for a linear time-invariant system (LTI system hereafter), then the combined observer and feedback are stable. The separation principle does not true for nonlinear systems in general. Another instance of the separation principle occurs in the context of linear stochastic systems, namely that an optimum state feedback controller intended to minimize a quadratic cost is optimal for the stochastic control problem with output measurements. The ideal solution consists of a Kalman filter and a linear-quadratic regulator when both process and observation noise are Gaussian. The term for this is linear-quadratic-Gaussian control. More generally, given acceptable conditions and when the noise is a martingale (with potential leaps), a separation principle, also known as the separation principle in stochastic control, applies when the noise is a martingale (with possible jumps).
Author | : Shankar Sastry |
Publisher | : Springer Science & Business Media |
Total Pages | : 690 |
Release | : 2013-04-18 |
Genre | : Mathematics |
ISBN | : 1475731086 |
Download Nonlinear Systems Book in PDF, ePub and Kindle
There has been much excitement over the emergence of new mathematical techniques for the analysis and control of nonlinear systems. In addition, great technological advances have bolstered the impact of analytic advances and produced many new problems and applications which are nonlinear in an essential way. This book lays out in a concise mathematical framework the tools and methods of analysis which underlie this diversity of applications.
Author | : Jiwei Wen |
Publisher | : Academic Press |
Total Pages | : 222 |
Release | : 2019-06-06 |
Genre | : Technology & Engineering |
ISBN | : 0128148691 |
Download Non-monotonic Approach to Robust H∞ Control of Multi-model Systems Book in PDF, ePub and Kindle
Non-monotonic Approach to Robust H∞ Control of Multi-model Systems focuses on robust analysis and synthesis problems for multi-model systems based on the non-monotonic Lyapunov Functionals (LFs) approach that enlarges the stability region and improves control performance. By fully considering the diversity of switching laws, the multi-step time difference, the multi-step prediction, and the expansion of system dimension, the non-monotonic LF can be properly constructed. The focus of this book is placed on the H∞ state feedback control, H∞ filtering and H∞ output feedback control for multi-model systems via a non-monotonic LF approach. The book's authors provide illustrative examples to show the feasibility and efficiency of the proposed methods, along with practical examples that demonstrate the effectiveness and potential of theoretical results. Offers tools for the analysis and design of control processes where the process can be represented by multi-models Presents a comprehensive explanation of recent developments in non-monotonic approaches to robust H-infinity control of multi-model systems Gives numerical examples and simulation results in each chapter to demonstrate engineering potential