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010   $a3-319-53040-2
024 7 $a10.1007/978-3-319-53040-6
035   $a(CKB)3850000000027360
035   $a(DE-He213)978-3-319-53040-6
035   $a(MiAaPQ)EBC5590913
035   $a(PPN)200512994
035   $a(EXLCZ)993850000000027360
100   $a20170405d2017      u|         0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aAlgorithms of Estimation for Nonlinear Systems $eA Differential and Algebraic Viewpoint /$fby Rafael Martínez-Guerra, Christopher Diego Cruz-Ancona
205   $a1st ed. 2017.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017.
215   $a1 online resource (XX, 197 p. 58 illus., 10 illus. in color.) 
225 1 $aUnderstanding Complex Systems,$x1860-0832
300   $aIncludes index.
311   $a3-319-53039-9 
327   $aPreface -- 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.
330   $aThis book acquaints readers with recent developments in dynamical systems theory and its applications, with a strong focus on the control and estimation of nonlinear systems. Several algorithms are proposed and worked out for a set of model systems, in particular so-called input-affine or bilinear systems, which can serve to approximate a wide class of nonlinear control systems. These can either take the form of state space models or be represented by an input-output equation. The approach taken here further highlights the role of modern mathematical and conceptual tools, including differential algebraic theory, observer design for nonlinear systems and generalized canonical forms.
410  0$aUnderstanding Complex Systems,$x1860-0832
606   $aStatistical physics
606   $aVibration
606   $aDynamical systems
606   $aDynamics
606   $aErgodic theory
606   $aApplications of Nonlinear Dynamics and Chaos Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/P33020
606   $aVibration, Dynamical Systems, Control$3https://scigraph.springernature.com/ontologies/product-market-codes/T15036
606   $aDynamical Systems and Ergodic Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/M1204X
606   $aStatistical Physics and Dynamical Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/P19090
615  0$aStatistical physics.
615  0$aVibration.
615  0$aDynamical systems.
615  0$aDynamics.
615  0$aErgodic theory.
615 14$aApplications of Nonlinear Dynamics and Chaos Theory.
615 24$aVibration, Dynamical Systems, Control.
615 24$aDynamical Systems and Ergodic Theory.
615 24$aStatistical Physics and Dynamical Systems.
676   $a530.15
700   $aMartínez-Guerra$b Rafael$4aut$4http://id.loc.gov/vocabulary/relators/aut$0791790
702   $aCruz-Ancona$b Christopher Diego$4aut$4http://id.loc.gov/vocabulary/relators/aut
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910254579103321
996   $aAlgorithms of Estimation for Nonlinear Systems$92047113
997   $aUNINA