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Retractions maps are used to define a discretization of the tangent bundle of the configuration manifold as two copies of the configuration manifold where the dynamics take place. Such discretization maps can be conveniently lifted to the…

最优化与控制 · 数学 2022-03-03 María Barbero Liñán , David Martín de Diego

The classical notion of retraction map used to approximate geodesics is extended and rigorously defined to become a powerful tool to construct geometric integrators and it is called discretization map. Using the geometry of the tangent and…

数值分析 · 数学 2022-06-20 María Barbero Liñán , David Martín de Diego

In this paper, we compare the performance of different numerical schemes in approximating Pontryagin's Maximum Principle's necessary conditions for the optimal control of nonholonomic systems. Retraction maps are used as a seed to construct…

In this paper we use retraction and discretization maps (see [Barbero Li\~n\'an and Mart\'in de Diego, 2022]) as a tool for deriving in a systematic way numerical integrators preserving geometric structures (such as symplecticity or…

数值分析 · 数学 2025-02-21 María Barbero Liñán , Juan Carlos Marrero , David Martín de Diego

This paper develops numerical methods for optimal control of mechanical systems in the Lagrangian setting. It extends the theory of discrete mechanics to enable the solutions of optimal control problems through the discretization of…

最优化与控制 · 数学 2015-06-04 Fernando Jimenez , Marin Kobilarov , David Martin de Diego

Retraction maps have been generalized to discretization maps in (Barbero Li\~n\'an and and Mart\'{\i}n de Diego, 2022). Discretization maps are used to systematically derive numerical integrators that preserve the symplectic structure, as…

数值分析 · 数学 2024-01-29 María Barbero-Liñán , Juan Carlos Marrero , David Martín de Diego

We reconsider the variational integration of optimal control problems for mechanical systems based on a direct discretization of the Lagrange-d'Alembert principle. This approach yields discrete dynamical constraints which by construction…

最优化与控制 · 数学 2012-04-30 C. M. Campos , O. Junge , S. Ober-Blöbaum

A new geometric procedure to construct symplectic methods for constrained mechanical systems is developed in this paper. The definition of a map coming from the notion of retraction maps allows to adapt the continuous problem to the…

In recent years, much effort in designing numerical methods for the simulation and optimization of mechanical systems has been put into schemes which are structure preserving. One particular class are variational integrators which are…

最优化与控制 · 数学 2015-05-08 Cédric M. Campos , Sina Ober-Blöbaum , Emmanuel Trélat

This paper develops a structure-preserving numerical integration scheme for a class of higher-order mechanical systems. The dynamics of these systems are governed by invariant variational principles defined on higher-order tangent bundles…

动力系统 · 数学 2013-10-11 Christopher L. Burnett , Darryl D. Holm , David M. Meier

Numerical methods that preserve geometric invariants of the system, such as energy, momentum or the symplectic form, are called geometric integrators. In this paper we present a method to construct symplectic-momentum integrators for…

数值分析 · 数学 2014-11-07 Leonardo Colombo , Sebastián Ferraro , David Martín de Diego

In this paper we investigate a variational discretization for the class of mechanical systems in presence of symmetries described by the action of a Lie group which reduces the phase space to a (non-trivial) principal bundle. By introducing…

动力系统 · 数学 2018-07-17 Anthony Bloch , Leonardo Colombo , Fernando Jiménez

Control laws for continuous-time dynamical systems are most often implemented via digital controllers using a sample-and-hold technique. Numerical discretization of the continuous system is an integral part of subsequent analysis. Feedback…

系统与控制 · 电气工程与系统科学 2023-09-28 Ashutosh Jindal , Ravi Banavar , David Martin Diego

An interesting family of geometric integrators for Lagrangian systems can be defined using discretizations of the Hamilton's principle of critical action. This family of geometric integrators is called variational integrators. In this…

数学物理 · 物理学 2015-06-16 Leonardo Colombo , David Martín de Diego , Marcela Zuccalli

In this paper we present a general framework that allows one to study discretization of certain dynamical systems. This generalizes earlier work on discretization of Lagrangian and Hamiltonian systems on tangent bundles and cotangent…

动力系统 · 数学 2007-05-23 Vincent M. Guibout , Anthony M. Bloch

In this paper we will discuss some new developments in the design of numerical methods for optimal control problems of Lagrangian systems on Lie groups. We will construct these geometric integrators using discrete variational calculus on…

数学物理 · 物理学 2011-09-23 Leonardo Colombo , Fernando Jimenez , David Martin de Diego

Mechanical systems are most often described by a set of continuous-time, nonlinear, second-order differential equations (SODEs) of a particular structure governed by the covariant derivative. The digital implementation of controllers for…

系统与控制 · 电气工程与系统科学 2024-10-04 Shreyas N. B. , David Martin Diego , Ravi Banavar

Optimal control problems for underactuated mechanical systems can be seen as a higher-order variational problem subject to higher-order constraints (that is, when the Lagrangian function and the constraints depend on higher-order…

数学物理 · 物理学 2014-10-02 Leonardo Colombo , Fernando Jiménez , David Martín de Diego

Retraction maps are known to be the seed for all numerical integrators. These retraction maps-based integrators can be further lifted to tangent and cotangent bundles, giving rise to structure-preserving integrators for mechanical systems.…

数值分析 · 数学 2025-05-20 Viyom Vivek , David Martin de Diego , Ravi N Banavar

The optimal control of a mechanical system is of crucial importance in many realms. Typical examples are the determination of a time-minimal path in vehicle dynamics, a minimal energy trajectory in space mission design, or optimal motion…

最优化与控制 · 数学 2008-10-09 S. Ober-Bloebaum , O. Junge , J. E. Marsden
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