Uncertain Information And Linear Systems


Uncertain Information And Linear Systems
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Uncertain Information And Linear Systems


Uncertain Information And Linear Systems
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Author : Tofigh Allahviranloo
language : en
Publisher:
Release Date : 2020

Uncertain Information And Linear Systems written by Tofigh Allahviranloo and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Engineering categories.


This book identifies the important uncertainties to use in real-world problem modeling. Having information about several types of ambiguities, vagueness, and uncertainties is vital in modeling problems that involve linguistic variables, parameters, and word computing. Today, since most of our real-world problems are related to decision-making at the right time, we need to apply intelligent decision science. Clearly, in order to have an appropriate and flexible mathematical model, every intelligent system requires real data on our environment. Presenting problems that can be represented using mathematical models to create a system of linear equations, this book discusses the latest insights into uncertain information.



Nonlinear Mathematics For Uncertainty And Its Applications


Nonlinear Mathematics For Uncertainty And Its Applications
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Author : Shoumei Li
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-07-21

Nonlinear Mathematics For Uncertainty And Its Applications written by Shoumei Li 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 2011-07-21 with Technology & Engineering categories.


This volume is a collection of papers presented at the international conference on Nonlinear Mathematics for Uncertainty and Its Applications (NLMUA2011), held at Beijing University of Technology during the week of September 7--9, 2011. The conference brought together leading researchers and practitioners involved with all aspects of nonlinear mathematics for uncertainty and its applications. Over the last fifty years there have been many attempts in extending the theory of classical probability and statistical models to the generalized one which can cope with problems of inference and decision making when the model-related information is scarce, vague, ambiguous, or incomplete. Such attempts include the study of nonadditive measures and their integrals, imprecise probabilities and random sets, and their applications in information sciences, economics, finance, insurance, engineering, and social sciences. The book presents topics including nonadditive measures and nonlinear integrals, Choquet, Sugeno and other types of integrals, possibility theory, Dempster-Shafer theory, random sets, fuzzy random sets and related statistics, set-valued and fuzzy stochastic processes, imprecise probability theory and related statistical models, fuzzy mathematics, nonlinear functional analysis, information theory, mathematical finance and risk managements, decision making under various types of uncertainty, and others.



Robust Output Feedback H Infinity Control And Filtering For Uncertain Linear Systems


Robust Output Feedback H Infinity Control And Filtering For Uncertain Linear Systems
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Author : Xiao-Heng Chang
language : en
Publisher: Springer
Release Date : 2016-08-23

Robust Output Feedback H Infinity Control And Filtering For Uncertain Linear Systems written by Xiao-Heng Chang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-23 with Technology & Engineering categories.


"Robust Output Feedback H-infinity Control and Filtering for Uncertain Linear Systems" discusses new and meaningful findings on robust output feedback H-infinity control and filtering for uncertain linear systems, presenting a number of useful and less conservative design results based on the linear matrix inequality (LMI) technique. Though primarily intended for graduate students in control and filtering, the book can also serve as a valuable reference work for researchers wishing to explore the area of robust H-infinity control and filtering of uncertain systems. Dr. Xiao-Heng Chang is a Professor at the College of Engineering, Bohai University, China.



Robust Control Of Linear Systems Subject To Uncertain Time Varying Parameters


Robust Control Of Linear Systems Subject To Uncertain Time Varying Parameters
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Author : Francesco Amato
language : en
Publisher: Springer
Release Date : 2006-02-21

Robust Control Of Linear Systems Subject To Uncertain Time Varying Parameters written by Francesco Amato and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-02-21 with Technology & Engineering categories.


The last thirty years have witnessed an enormous effort in the field of robust control of dynamical systems. The main objective of this book is that of presenting, in a unified framework, the main results appeared in the literature on this topic, with particular reference to the robust stability problem for linear systems subject to time-varying uncertainties. The book mainly focuses on those problems for which a definitive solution has been found; indeed most of the results we shall present are given in the form of necessary and sufficient conditions involving the feasibility of Linear Matrix Inequalities based problems. For self-containedness purposes, most of the results provided in the book are proven. We have tried to maintain the development of the proofs as simple as possible, without sacrificing the mathematical rigor. Some parts of the book (especially those contained in Chaps. 2, 3 and 5) can be teached in advanced control courses; however this work is mainly devoted to both researchers in the field of systems and control theory and engineers working in industries which want to apply the methodologies presented in the book to practical control problems. To this regard, as the various results are derived, they are immediately reinforced with real world examples.



Soft Numerical Computing In Uncertain Dynamic Systems


Soft Numerical Computing In Uncertain Dynamic Systems
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Author : Tofigh Allahviranloo
language : en
Publisher: Academic Press
Release Date : 2020-08-19

Soft Numerical Computing In Uncertain Dynamic Systems written by Tofigh Allahviranloo and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-19 with Computers categories.


Soft Numerical Computing in Uncertain Dynamic Systems is intended for system specialists interested in dynamic systems that operate at different time scales. The book discusses several types of errors and their propagation, covering numerical methods—including convergence and consistence properties and characteristics—and proving of related theorems within the setting of soft computing. Several types of uncertainty representation like interval, fuzzy, type 2 fuzzy, granular, and combined uncertain sets are discussed in detail. The book can be used by engineering students in control and finite element fields, as well as all engineering, applied mathematics, economics, and computer science students. One of the important topics in applied science is dynamic systems and their applications. The authors develop these models and deliver solutions with the aid of numerical methods. Since they are inherently uncertain, soft computations are of high relevance here. This is the reason behind investigating soft numerical computing in dynamic systems. If these systems are involved with complex-uncertain data, they will be more practical and important. Real-life problems work with this type of data and most of them cannot be solved exactly and easily—sometimes they are impossible to solve. Clearly, all the numerical methods need to consider error of approximation. Other important applied topics involving uncertain dynamic systems include image processing and pattern recognition, which can benefit from uncertain dynamic systems as well. In fact, the main objective is to determine the coefficients of a matrix that acts as the frame in the image. One of the effective methods exhibiting high accuracy is to use finite differences to fill the cells of the matrix. Explores dynamic models, how time is fundamental to the structure of the model and data, and how a process unfolds Investigates the dynamic relationships between multiple components of a system in modeling using mathematical models and the concept of stability in uncertain environments Exposes readers to many soft numerical methods to simulate the solution function’s behavior



Robust Output Feedback H Infinity Control And Filtering For Uncertain Linear Systems


Robust Output Feedback H Infinity Control And Filtering For Uncertain Linear Systems
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Author : Xiao-Heng Chang
language : en
Publisher:
Release Date : 2014-05-31

Robust Output Feedback H Infinity Control And Filtering For Uncertain Linear Systems written by Xiao-Heng Chang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-31 with categories.




State Observers For Linear Systems With Uncertainty


State Observers For Linear Systems With Uncertainty
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Author : Sergey K. Korovin
language : en
Publisher: Walter de Gruyter
Release Date : 2009-09-04

State Observers For Linear Systems With Uncertainty written by Sergey K. Korovin and has been published by Walter de Gruyter this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-09-04 with Mathematics categories.


This book presents the basic concepts and recent developments of linear control problems with perturbations. The presentation concerns both continuous and discrete dynamical systems. It is self-contained and illustrated by numerous examples. From the contents: Notion of state observers Observability Observers of full-phase vectors for fully determined linear systems Functional observers for fully determined linear systems Asymptotic observers for linear systems with uncertainty Observers for bilinear and discrete systems



Control Of Uncertain Systems With Bounded Inputs


Control Of Uncertain Systems With Bounded Inputs
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Author : Sophie Tarbouriech
language : en
Publisher: Springer
Release Date : 1997-07-04

Control Of Uncertain Systems With Bounded Inputs written by Sophie Tarbouriech and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-07-04 with Computers categories.


In practical control problems, many constraints have to be handled in order to design controllers which operate in a real environment. By combining results on robust control and saturating control, this book attempts to provide positive help for practical situations and, as one of the first books to merge the two control fields, it should generate considerable interest in scientific/acad emic circles. The ten chapters, which deal with stabilization and control of both linear and nonlinear systems, are each independent in their approach - some deal purely with theoretical results whilst others concentrate on ways in which the theory can be applied. The book's unity is secured by the desire to formulate control design requirements through constraints on input and model uncertainty description.



Control Of Uncertain Dynamic Systems


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.



Robust Control Of Linear Systems Subject To Uncertain Time Varying Parameters


Robust Control Of Linear Systems Subject To Uncertain Time Varying Parameters
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Author : Francesco Amato
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-02-21

Robust Control Of Linear Systems Subject To Uncertain Time Varying Parameters written by Francesco Amato 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 2006-02-21 with Technology & Engineering categories.