Author: Francesco BulloPublisher: Springer
ISBN: 9783540841555
Category : Technology & Engineering
Languages : en
Pages : 398
Book Description
Lagrangian and Hamiltonian Methods For Nonlinear Control 2006
Author: Francesco BulloPublisher: Springer
ISBN: 9783540841555
Category : Technology & Engineering
Languages : en
Pages : 398
Book Description
Lagrangian and Hamiltonian Methods for Nonlinear Control
Author: Lagrangian and Hamiltonian Methods for Nonlinear Control
Author: Lagrangian and Hamiltonian Methods For Nonlinear Control 2006
Author: Francesco BulloPublisher: Springer Verlag
ISBN: 9783540738893
Category : Mathematics
Languages : en
Pages : 398
Book Description
Lagrangian and Hamiltonian Methods for Nonlinear Control 2000
Author: N.E. LeonardPublisher: Pergamon
ISBN:
Category : Mathematics
Languages : en
Pages : 198
Book Description
This Proceedings contains the papers presented at the IFAC Workshop on Lagrangian and Hamiltonian Methods for Nonlinear Control, held at Princeton University, USA in March 2000. The workshop featured presentations and in-depth discussions of recent theoretical and practical developments in Lagrangian and Hamiltonian approaches to nonlinear control. New technologies have created engineering problems where successful controller designs must account for nonlinear effects, yet existing theory for general nonlinear systems often proves insufficient. This workshop focused on recent research that gives modeling a central role and focuses on structure that can be exploited in controller design. The research presented covered a diverse set of application areas.
Lagrangian and Hamiltonian Methods for Nonlinear Control 2003
Author: A AstolfiPublisher: Elsevier
ISBN: 9780080442785
Category : Mathematics
Languages : en
Pages : 318
Book Description
This is the second of a series of IFAC Workshops initiated in 2000. The first one chaired and organized by Profs. N. Leonard and R. Ortega, was held in Princeton in March 2000. This proceedings volume looks at the role-played by Lagrangian and Hamiltonian methods in disciplines such as classical mechanics, quantum mechanics, fluid dynamics, electrodynamics, celestial mechanics and how such methods can be practically applied in the control community. *Presents and illustrates new approaches to nonlinear control that exploit the Lagrangian and Hamiltonian structure of the system to be controlled *Highlights the important role of Lagrangian and Hamiltonian Structures as design methods
Lagrangian and Hamiltonian Methods For Nonlinear Control 2006
Author: Francesco BulloPublisher: Springer
ISBN: 3540738908
Category : Technology & Engineering
Languages : en
Pages : 399
Book Description
Third Workshop on Lagrangian and Hamiltonian Methods for Nonlinear Control
Author: 2nd Workshop on Lagrangian and Hamiltonian Methods for Nonlinear Control
Author: International Federation of Automatic ControlPublisher:
ISBN:
Category :
Languages : en
Pages : 334
Book Description
Handbook of Variational Methods for Nonlinear Geometric Data
Author: Philipp GrohsPublisher: Springer Nature
ISBN: 3030313514
Category : Mathematics
Languages : en
Pages : 701
Book Description
This book covers different, current research directions in the context of variational methods for non-linear geometric data. Each chapter is authored by leading experts in the respective discipline and provides an introduction, an overview and a description of the current state of the art. Non-linear geometric data arises in various applications in science and engineering. Examples of nonlinear data spaces are diverse and include, for instance, nonlinear spaces of matrices, spaces of curves, shapes as well as manifolds of probability measures. Applications can be found in biology, medicine, product engineering, geography and computer vision for instance. Variational methods on the other hand have evolved to being amongst the most powerful tools for applied mathematics. They involve techniques from various branches of mathematics such as statistics, modeling, optimization, numerical mathematics and analysis. The vast majority of research on variational methods, however, is focused on data in linear spaces. Variational methods for non-linear data is currently an emerging research topic. As a result, and since such methods involve various branches of mathematics, there is a plethora of different, recent approaches dealing with different aspects of variational methods for nonlinear geometric data. Research results are rather scattered and appear in journals of different mathematical communities. The main purpose of the book is to account for that by providing, for the first time, a comprehensive collection of different research directions and existing approaches in this context. It is organized in a way that leading researchers from the different fields provide an introductory overview of recent research directions in their respective discipline. As such, the book is a unique reference work for both newcomers in the field of variational methods for non-linear geometric data, as well as for established experts that aim at to exploit new research directions or collaborations. Chapter 9 of this book is available open access under a CC BY 4.0 license at link.springer.com.