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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…

Optimization and Control · Mathematics 2022-03-03 María Barbero Liñán , David Martín de Diego

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 a…

Optimization and Control · Mathematics 2023-04-03 Alexandre Anahory Simoes , Maria Barbero Liñán , Leonardo Colombo , David Martín 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…

Numerical Analysis · Mathematics 2024-01-29 María Barbero-Liñán , Juan Carlos Marrero , 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…

Numerical Analysis · Mathematics 2022-06-20 María Barbero Liñán , David Martín de Diego

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…

Numerical Analysis · Mathematics 2025-02-21 María Barbero Liñán , Juan Carlos Marrero , David Martín de Diego

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…

Numerical Analysis · Mathematics 2024-12-10 María Barbero Liñán , David Martín de Diego , Rodrigo T. Sato Martín de Almagro

We study the discretization of (almost-)Dirac structures using the notion of retraction and discretization maps on manifolds. Additionally, we apply the proposed discretization techniques to obtain numerical integrators for port-Hamiltonian…

Numerical Analysis · Mathematics 2025-05-12 María Barbero-Liñán , Juan Manuel López Medel , David Martín de Diego

This paper develops different discretization schemes for nonholonomic mechanical systems through a discrete geometric approach. The proposed methods are designed to account for the special geometric structure of the nonholonomic motion. Two…

Mathematical Physics · Physics 2010-02-26 M. Kobilarov , D. Martín de Diego , S. Ferraro

We present a general framework for constructing structure-preserving numerical integrators for nonholonomically constrained mechanical systems evolving on Lie groups using retraction maps. Retraction maps generalize the exponential map and…

Numerical Analysis · Mathematics 2026-04-08 Viyom Vivek , David Martin de Diego , Ravi N. Banavar

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…

Systems and Control · Electrical Eng. & Systems 2023-09-28 Ashutosh Jindal , Ravi Banavar , David Martin Diego

We study the tracking of a trajectory for a nonholonomic system by recasting the problem as a constrained optimal control problem. The cost function is chosen to minimize the error in positions and velocities between the trajectory of a…

Optimization and Control · Mathematics 2020-01-29 Leonardo J. Colombo , David Martín de Diego , Aradhana Nayak , Rodrigo T. Sato Martín de Almagro

A geometric derivation of numerical integrators for nonholonomic systems and optimal control problems is obtained. It is based in the classical technique of generating functions adapted to the special features of nonholonomic systems and…

Mathematical Physics · Physics 2016-09-07 M. de Leon , D. Martin de Diego , A. Santamaria Merino

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…

Systems and Control · Electrical Eng. & Systems 2024-10-04 Shreyas N. B. , David Martin Diego , Ravi Banavar

We compare the performances of symplectic and non-symplectic integrators for the computation of normal geodesics and conjugate points in sub-Riemannian geometry at the example of the Martinet case. For this case study we consider first the…

Numerical Analysis · Mathematics 2007-05-23 Monique Chyba , Ernst Hairer , Gilles Vilmart

In order to perform numerical studies of long-term stability in nonlinear Hamiltonian systems, one needs a numerical integration algorithm which is symplectic. Further, this algorithm should be fast and accurate. In this paper, we propose…

Exactly Solvable and Integrable Systems · Physics 2009-11-07 Govindan Rangarajan

In this paper, we describe a constrained Lagrangian and Hamiltonian formalism for the optimal control of nonholonomic mechanical systems. In particular, we aim to minimize a cost functional, given initial and final conditions where the…

Optimization and Control · Mathematics 2014-12-24 Anthony Bloch , Leonardo Colombo , Rohit Gupta , David Martin 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.…

Numerical Analysis · Mathematics 2025-05-20 Viyom Vivek , David Martin de Diego , Ravi N Banavar

Geometric optimal control utilizes tools from differential geometry to analyze the structure of a problem to determine the control and state trajectories to reach a desired outcome while minimizing some cost function. For a controlled…

Optimization and Control · Mathematics 2022-09-20 Maria Oprea , Max Ruth , Dora Kassabova , William Clark

This paper explores the role of symmetries and reduction in nonlinear control and optimal control systems. The focus of the paper is to give a geometric framework of symmetry reduction of optimal control systems as well as to show how to…

Optimization and Control · Mathematics 2015-02-13 Tomoki Ohsawa

We study the tracking of a trajectory for a nonholonomic system by recasting the problem as an optimal control problem. The cost function is chosen to minimize the error in positions and velocities between the trajectory of a nonholonomic…

Systems and Control · Electrical Eng. & Systems 2024-12-20 Aradhana Nayak , Rodrigo Sato Martín de Almagro , Leonardo Colombo , David Martín de Diego
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