Algorithms of estimation for nonlinear systems : a differential and algebraic viewpoint
By: Martinez-Guerra, Rafael.
Contributor(s): Cruz-Ancona, Christopher Diego.
Series: Understanding complex systems. / edited by S. Kelso.Publisher: Switzerland Springer 2017Description: xx, 197p.ISBN: 9783319530390.Subject(s): Estimation theory | PhysicsDDC classification: 003.75 | M366a
Contents:
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.
| Item type | Current location | Collection | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|---|
Books
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PK Kelkar Library, IIT Kanpur | General Stacks | 003.75 M366a (Browse shelf) | Available | A183327 |
Total holds: 0
Browsing PK Kelkar Library, IIT Kanpur Shelves , Collection code: General Stacks Close shelf browser
| 003.75 L14t Transient chaos | 003.75 L335c2 Chaos, fractals, and noise | 003.75 L578a Analysis and control of nonlinear systems | 003.75 M366a Algorithms of estimation for nonlinear systems | 003.75 N328n nonlinear system identification | 003.75 P639S SYNCHRONIZATION | 003.75 Sa79n 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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