Algorithms of Estimation for Nonlinear Systems [electronic resource] : A Differential and Algebraic Viewpoint / by Rafael Martínez-Guerra, Christopher Diego Cruz-Ancona.
Вид матеріалу:
Текст Серія: Understanding Complex SystemsПублікація: Cham : Springer International Publishing : Imprint: Springer, 2017Видання: 1st ed. 2017Опис: XX, 197 p. 58 illus., 10 illus. in color. online resourceТип вмісту: - text
- computer
- online resource
- 9783319530406
- 621 23
- QC174.7-175.36
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Springer Ebooks (till 2020 - Open Access)+(2017 Network Access))
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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.
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.
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