Uncertain Dynamical Systems
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Uncertain Dynamical Systems
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Author : A.A. Martynyuk
language : en
Publisher: CRC Press
Release Date : 2011-11-28
Uncertain Dynamical Systems written by A.A. Martynyuk and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-11-28 with Mathematics categories.
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
Uncertain Dynamic Systems
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Author : Fred C. Schweppe
language : en
Publisher: Prentice Hall
Release Date : 1973
Uncertain Dynamic Systems written by Fred C. Schweppe and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 1973 with Mathematics categories.
Uncertain Dynamical Systems
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Author : A. A. Martynyuk
language : en
Publisher:
Release Date : 2011
Uncertain Dynamical Systems written by A. A. Martynyuk and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Control theory categories.
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.
Control Of Uncertain Dynamic Systems
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Author : Shankar P. Bhattacharyya
language : en
Publisher: CRC Press
Release Date : 2020-09-23
Control Of Uncertain Dynamic Systems written by Shankar P. Bhattacharyya and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-23 with Technology & Engineering categories.
This book is a collection of 34 papers presented by leading researchers at the International Workshop on Robust Control held in San Antonio, Texas in March 1991. The common theme tying these papers together is the analysis, synthesis, and design of control systems subject to various uncertainties. The papers describe the latest results in parametric understanding, H8 uncertainty, l1 optical control, and Quantitative Feedback Theory (QFT). The book is the first to bring together all the diverse points of view addressing the robust control problem and should strongly influence development in the robust control field for years to come. For this reason, control theorists, engineers, and applied mathematicians should consider it a crucial acquisition for their libraries.
Uncertain Dynamical Systems A Differential Game Approach
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Author :
language : en
Publisher:
Release Date : 1976
Uncertain Dynamical Systems A Differential Game Approach written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1976 with categories.
Robust Control Of Uncertain Dynamic Systems
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Author : Rama K. Yedavalli
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-12-05
Robust Control Of Uncertain Dynamic Systems written by Rama K. Yedavalli and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-05 with Technology & Engineering categories.
This textbook aims to provide a clear understanding of the various tools of analysis and design for robust stability and performance of uncertain dynamic systems. In model-based control design and analysis, mathematical models can never completely represent the “real world” system that is being modeled, and thus it is imperative to incorporate and accommodate a level of uncertainty into the models. This book directly addresses these issues from a deterministic uncertainty viewpoint and focuses on the interval parameter characterization of uncertain systems. Various tools of analysis and design are presented in a consolidated manner. This volume fills a current gap in published works by explicitly addressing the subject of control of dynamic systems from linear state space framework, namely using a time-domain, matrix-theory based approach. This book also: Presents and formulates the robustness problem in a linear state space model framework. Illustrates various systems level methodologies with examples and applications drawn from aerospace, electrical and mechanical engineering. Provides connections between lyapunov-based matrix approach and the transfer function based polynomial approaches. Robust Control of Uncertain Dynamic Systems: A Linear State Space Approach is an ideal book for first year graduate students taking a course in robust control in aerospace, mechanical, or electrical engineering.
Global Numerical Analysis Of Uncertain Dynamical Systems
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Author : Andreas Gaull
language : en
Publisher:
Release Date : 2010
Global Numerical Analysis Of Uncertain Dynamical Systems written by Andreas Gaull and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Dynamics categories.
Resilient Control Of Uncertain Dynamical Systems
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Author : Magdi S. Mahmoud
language : en
Publisher: Springer
Release Date : 2014-03-12
Resilient Control Of Uncertain Dynamical Systems written by Magdi S. Mahmoud and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-03-12 with Technology & Engineering categories.
This monograph provides a complete description of resilient control theory. It unifies the methods for developing resilient controllers and filters for a class of uncertain dynamical systems and reports recent advances in design methodologies. The book presents an introductory and comprehensive treatment of resilient controller design methods placing great emphasis on the derivation of necessary and sufficient design conditions and on the use of linear matrix inequalities as a convenient computational tool. The book can be used as a graduate-level textbook in control engineering or applied mathematics as well as a reference for practicing engineers, researchers and students.
Deterministic Control Of Uncertain Systems
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Author : Alan S. I. Zinober
language : en
Publisher: IET
Release Date : 1990
Deterministic Control Of Uncertain Systems written by Alan S. I. Zinober and has been published by IET this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with Computers categories.
Includes sections on: Sliding mode control with switching command devices. Hyperplane design and CAD of variable structure control systems. Variable structure controllers for robots. The hyperstability approach to VSCS design. Nonlinear continuous feedback for robust tracking. Control of uncertain systems with neglected dynamics. Control of infinite dimensional plants.
Estimators For Uncertain Dynamic Systems
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Author : A.I. Matasov
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Estimators For Uncertain Dynamic Systems written by A.I. Matasov and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Technology & Engineering categories.
When solving the control and design problems in aerospace and naval engi neering, energetics, economics, biology, etc., we need to know the state of investigated dynamic processes. The presence of inherent uncertainties in the description of these processes and of noises in measurement devices leads to the necessity to construct the estimators for corresponding dynamic systems. The estimators recover the required information about system state from mea surement data. An attempt to solve the estimation problems in an optimal way results in the formulation of different variational problems. The type and complexity of these variational problems depend on the process model, the model of uncertainties, and the estimation performance criterion. A solution of variational problem determines an optimal estimator. Howerever, there exist at least two reasons why we use nonoptimal esti mators. The first reason is that the numerical algorithms for solving the corresponding variational problems can be very difficult for numerical imple mentation. For example, the dimension of these algorithms can be very high.