Algorithms of Estimation for Nonlinear Systems: A Differential and Algebraic Viewpoint, Martнnez-Guerra Rafael, Cruz-Ancona Christopher Diego

Автор: Sidorov Denis
Название: Integral Dynamical Models: Singularities, Signals and Control
ISBN: 9814619183 ISBN-13(EAN): 9789814619189
Издательство: World Scientific Publishing
Цена: 83430.00 T
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Описание: This volume provides a broad introduction to nonlinear integral dynamical models and new classes of evolutionary integral equations.

Автор: Giuseppe Conte; Claude H. Moog; Anna Maria Perdon
Название: Algebraic Methods for Nonlinear Control Systems
ISBN: 1849966257 ISBN-13(EAN): 9781849966252
Издательство: Springer
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Цена: 104480.00 T
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Описание: This is a self-contained introduction to algebraic control for nonlinear systems suitable for researchers and graduate students. It is the first book dealing with the linear-algebraic approach to nonlinear control systems in such a detailed and extensive fashion.

Автор: Martнnez-Guerra Rafael, Martнnez-Fuentes Oscar, Montesinos-Garcнa Juan Javier
Название: Algebraic and Differential Methods for Nonlinear Control Theory: Elements of Commutative Algebra and Algebraic Geometry
ISBN: 3030120279 ISBN-13(EAN): 9783030120276
Издательство: Springer
Цена: 79190.00 T
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Описание: Chapters 2 and 3 on group theory and rings, respectively, are included because of their important relation to linear algebra, the group of invertible linear maps (or matrices) and the ring of linear maps of a vector space.

Автор: Berkovitz
Название: Nonlinear Optimal Control Theory
ISBN: 1466560266 ISBN-13(EAN): 9781466560260
Издательство: Taylor&Francis
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Цена: 148010.00 T
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Описание:

Nonlinear Optimal Control Theory presents a deep, wide-ranging introduction to the mathematical theory of the optimal control of processes governed by ordinary differential equations and certain types of differential equations with memory. Many examples illustrate the mathematical issues that need to be addressed when using optimal control techniques in diverse areas.

Автор: Shingareva
Название: Solving Nonlinear Partial Differential Equations with Maple and Mathematica
ISBN: 3709105161 ISBN-13(EAN): 9783709105160
Издательство: Springer
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Цена: 102480.00 T
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Описание: starting from an analytical derivation of exact governing equations, constructing discretizations and analytical formulas of a numerical method, performing numerical procedure, obtaining various visualizations, and comparing the numerical solution obtained with other types of solutions considered in the book, e.g.

Автор: Rafael Mart?nez-Guerra; Christopher Diego Cruz-Anc
Название: Algorithms of Estimation for Nonlinear Systems
ISBN: 3319530399 ISBN-13(EAN): 9783319530390
Издательство: Springer
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Цена: 93160.00 T
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Описание:

Preface.- Analysis of input-affine nonlinear processes.- Basic Definitions of Differential Algebras.- Algebraic Observability Condition for Nonlinear systems and External behaviour.- Generalized Observability Canonical Forms.- Observer Synthesis.- Tracking and Stabilization Problems.- Parametric and State Estimation.- Observer synthesis for a more general class of Nonlinear Systems.- A Separation Principle for Nonlinear Systems.- Some uncommon observers with interesting applications.- Appendix A Singularity Treatment.- Appendix B Some properties for Nonlinear Systems.

Автор: Yuji Kodama
Название: Solitons in Two-Dimensional Shallow Water
ISBN: 1611975514 ISBN-13(EAN): 9781611975512
Издательство: Mare Nostrum (Eurospan)
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Цена: 71150.00 T
Наличие на складе: Невозможна поставка.
Описание: Uses modern mathematical tools - algebraic geometry, algebraic combinatorics, and representation theory, among others - to analyse two-dimensional wave patterns. The author`s goal is to explain some details of the classification problem of the soliton solutions of the KP equation (or KP solitons) and their applications to shallow water waves.

Автор: Rafael Mart?nez-Guerra; Oscar Mart?nez-Fuentes; Ju
Название: Algebraic and Differential Methods for Nonlinear Control Theory
ISBN: 3030120244 ISBN-13(EAN): 9783030120245
Издательство: Springer
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Цена: 111790.00 T
Наличие на складе: Поставка под заказ.
Описание: This book is a short primer in engineering mathematics with a view on applications in nonlinear control theory. In particular, it introduces some elementary concepts of commutative algebra and algebraic geometry which offer a set of tools quite different from the traditional approaches to the subject matter. This text begins with the study of elementary set and map theory. Chapters 2 and 3 on group theory and rings, respectively, are included because of their important relation to linear algebra, the group of invertible linear maps (or matrices) and the ring of linear maps of a vector space. Homomorphisms and Ideals are dealt with as well at this stage. Chapter 4 is devoted to the theory of matrices and systems of linear equations. Chapter 5 gives some information on permutations, determinants and the inverse of a matrix. Chapter 6 tackles vector spaces over a field, Chapter 7 treats linear maps resp. linear transformations, and in addition the application in linear control theory of some abstract theorems such as the concept of a kernel, the image and dimension of vector spaces are illustrated. Chapter 8 considers the diagonalization of a matrix and their canonical forms. Chapter 9 provides a brief introduction to elementary methods for solving differential equations and, finally, in Chapter 10, nonlinear control theory is introduced from the point of view of differential algebra.

Автор: Cheban David N
Название: Global Attractors Of Non-Autonomous Dynamical And Control Systems (2Nd Edition)
ISBN: 9814619825 ISBN-13(EAN): 9789814619820
Издательство: World Scientific Publishing
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Цена: 205920.00 T
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Описание: The study of attractors of dynamical systems occupies an important position in the modern qualitative theory of differential equations.

Автор: Joachim Inkmann
Название: Conditional Moment Estimation of Nonlinear Equation Systems
ISBN: 3540412077 ISBN-13(EAN): 9783540412076
Издательство: Springer
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Цена: 74530.00 T
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Описание: Generalized method of moments (GMM) estimation of nonlinear systems has two important advantages over conventional maximum likelihood (ML) estimation: GMM estimation usually requires less restrictive distributional assumptions and remains computationally attractive when ML estimation becomes burdensome or even impossible.

Автор: Heidar A. Talebi; Farzaneh Abdollahi; Rajni V. Pat
Название: Neural Network-Based State Estimation of Nonlinear Systems
ISBN: 1441914374 ISBN-13(EAN): 9781441914378
Издательство: Springer
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Цена: 104480.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This text offers neural network schemes for state estimation, system identification and fault detection. It covers mathematical proof of stability, experimental evaluation, and robustness against unmolded dynamics, external disturbances and measurement noises.

Автор: Ed Bueler
Название: PETSc for Partial Differential Equations: Numerical Solutions in C and Python
ISBN: 1611976308 ISBN-13(EAN): 9781611976304
Издательство: Mare Nostrum (Eurospan)
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Цена: 81090.00 T
Наличие на складе: Невозможна поставка.
Описание: The Portable, Extensible Toolkit for Scientific Computation (PETSc) is an open-source library of advanced data structures and methods for solving linear and nonlinear equations and for managing discretizations. This book uses these modern numerical tools to demonstrate how to solve nonlinear partial differential equations (PDEs) in parallel. It starts from key mathematical concepts, such as Krylov space methods, preconditioning, multigrid, and Newton’s method. In PETSc these components are composed at run time into fast solvers.Discretizations are introduced from the beginning, with an emphasis on finite difference and finite element methodologies. The example C programs of the first 12 chapters, listed on the inside front cover, solve (mostly) elliptic and parabolic PDE problems. Discretization leads to large, sparse, and generally nonlinear systems of algebraic equations. For such problems, mathematical solver concepts are explained and illustrated through the examples, with sufficient context to speed further development. PETSc for Partial Differential Equations addresses both discretizations and fast solvers for PDEs, emphasizing practice more than theory. Well-structured examples lead to run-time choices that result in high solver performance and parallel scalability. The last two chapters build on the reader’s understanding of fast solver concepts when applying the Firedrake Python finite element solver library. This textbook, the first to cover PETSc programming for nonlinear PDEs, provides an on-ramp for graduate students and researchers to a major area of high-performance computing for science and engineering. It is suitable as a supplement for courses in scientific computing or numerical methods for differential equations.