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Algorithms of Estimation for Nonlinear Systems - A Differential and Algebraic Viewpoint (Paperback, Softcover reprint of the original 1st ed. 2017) Loot Price: R3,179
Discovery Miles 31 790
Algorithms of Estimation for Nonlinear Systems - A Differential and Algebraic Viewpoint (Paperback, Softcover reprint of the...

Algorithms of Estimation for Nonlinear Systems - A Differential and Algebraic Viewpoint (Paperback, Softcover reprint of the original 1st ed. 2017)

Rafael Martinez-Guerra, Christopher Diego Cruz-Ancona

Series: Understanding Complex Systems

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Loot Price R3,179 Discovery Miles 31 790 | Repayment Terms: R298 pm x 12*

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This book acquaints readers with recent developments in dynamical systems theory and its applications, with a strong focus on the control and estimation of nonlinear systems. Several algorithms are proposed and worked out for a set of model systems, in particular so-called input-affine or bilinear systems, which can serve to approximate a wide class of nonlinear control systems. These can either take the form of state space models or be represented by an input-output equation. The approach taken here further highlights the role of modern mathematical and conceptual tools, including differential algebraic theory, observer design for nonlinear systems and generalized canonical forms.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Understanding Complex Systems
Release date: July 2018
First published: 2017
Authors: Rafael Martinez-Guerra • Christopher Diego Cruz-Ancona
Dimensions: 235 x 155 x 12mm (L x W x T)
Format: Paperback
Pages: 197
Edition: Softcover reprint of the original 1st ed. 2017
ISBN-13: 978-3-319-85046-7
Categories: Books > Science & Mathematics > Mathematics > Applied mathematics > Non-linear science
Books > Science & Mathematics > Physics > Thermodynamics & statistical physics > Statistical physics
Books > Professional & Technical > Mechanical engineering & materials > Materials science > Mechanics of solids > Dynamics & vibration
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LSN: 3-319-85046-6
Barcode: 9783319850467

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