David Martín de Diego

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 38

Top Topics

Geometric Objects

Trajectory Tracking

Mechanical Systems

Numerical Methods

Top Venues

J. Nonlinear Sci.

J. Comput. Appl. Math.

Publications

Ashutosh Jindal, Florentina Nicolau, David Martín de Diego, Ravi N. Banavar
Constructing Dynamic Feedback Linearizable Discretizations. CoRR (2024)
Cédric M. Campos, David Martín de Diego, José Torrente
Momentum-based gradient descent methods for Lie groups. CoRR (2024)
María Barbero-Liñán, Juan Carlos Marrero, David Martín de Diego
From retraction maps to symplectic-momentum numerical integrators. CoRR (2024)
Shreyas N. B., David Martín de Diego, Ravi Banavar
Feedback Linearizable Discretizations of Second Order Mechanical Systems using Retraction Maps. CoRR (2024)
Miguel Vaquero, David Martín de Diego, Jorge Cortés
Designing Poisson Integrators Through Machine Learning. CoRR (2024)
Alexandre Anahory Simoes, David Martín de Diego, Bernhard Maschke
Discrete gradient methods for irreversible port-Hamiltonian systems. CoRR (2023)
Alexandre Anahory Simoes, Sebastián J. Ferraro, Juan Carlos Marrero, David Martín de Diego
A nonholonomic Newmark method. J. Comput. Appl. Math. 421 (2023)
María Barbero-Liñán, David Martín de Diego, Rodrigo Takuro Sato Martín de Almagro
A new perspective on symplectic integration of constrained mechanical systems via discretization maps. CoRR (2023)
María Barbero-Liñán, David Martín de Diego
Retraction Maps: A Seed of Geometric Integrators. Found. Comput. Math. 23 (4) (2023)
Cédric M. Campos, Alejandro Mahillo, David Martín de Diego
Discrete Variational Calculus for Accelerated Optimization. J. Mach. Learn. Res. 24 (2023)
Alexandre Anahory Simoes, María Barbero-Liñán, Leonardo Colombo, David Martín de Diego
Higher-order retraction maps and construction of numerical methods for optimal control of mechanical systems. CoRR (2023)
Ashutosh Jindal, Ravi N. Banavar, David Martín de Diego
Constructing Feedback Linearizable Discretizations for Continuous-Time Systems Using Retraction Maps. IEEE Control. Syst. Lett. 7 (2023)
Leonardo Colombo, Manuela Gamonal Fernández, David Martín de Diego
Variational integrators for non-autonomous Lagrangian systems. J. Comput. Appl. Math. 424 (2023)
Alexandre Anahory Simoes, María Barbero-Liñán, Leonardo Colombo, David Martín de Diego
Higher-Order Retraction Maps and Construction of Numerical Methods for Optimal Control of Mechanical Systems. CDC (2023)
José Ángel Acosta, Anthony M. Bloch, David Martín de Diego
Completeness of Riemannian metrics: an application to the control of constrained mechanical systems. CoRR (2023)
Miguel Vaquero, Jorge Cortés, David Martín de Diego
Symmetry Preservation in Hamiltonian Systems: Simulation and Learning. CoRR (2023)
Leonardo Colombo, Manuela Gamonal Fernández, David Martín de Diego
Variational integrators for non-autonomous systems with applications to stabilization of multi-agent formations. CoRR (2022)
Sebastián J. Ferraro, David Martín de Diego, Rodrigo Takuro Sato Martín de Almagro
A parallel iterative method for variational integration. CoRR (2022)
Alexandre Anahory Simoes, Juan Carlos Marrero, David Martín de Diego
Exact discrete Lagrangian mechanics for nonholonomic mechanics. Numerische Mathematik 151 (1) (2022)
Alexandre Anahory Simões, Sebastián J. Ferraro, Juan Carlos Marrero, David Martín de Diego
Nonholonomic Newmark method. CoRR (2022)
María Barbero-Liñán, David Martín de Diego
Presymplectic integrators for optimal control problems via retraction maps. CoRR (2022)
Cédric M. Campos, Alejandro Mahillo, David Martín de Diego
A Discrete Variational Derivation of Accelerated Methods in Optimization. CoRR (2021)
María Barbero-Liñán, David Martín de Diego
Extended retraction maps: a seed of geometric integrators. CoRR (2021)
Sebastián J. Ferraro, David Martín de Diego, Rodrigo Sato Martín de Almagro
Parallel iterative methods for variational integration applied to navigation problems. CoRR (2021)
Alexandre Anahory Simoes, David Martín de Diego, Manuel Lainz Valcázar, Manuel de León
On the Geometry of Discrete Contact Mechanics. J. Nonlinear Sci. 31 (3) (2021)
Alexandre Anahory Simoes, David Martín de Diego, Manuel Lainz Valcázar, Manuel de León
The Geometry of Some Thermodynamic Systems. SPIGL (2020)
Alexandre Anahory Simoes, David Martín de Diego, Manuel de León, Manuel Lainz Valcázar
On the geometry of discrete contact mechanics. CoRR (2020)
Alexandre Anahory Simoes, Juan Carlos Marrero, David Martín de Diego
Exact discrete Lagrangian mechanics for nonholonomic mechanics. CoRR (2020)
Leonardo J. Colombo, David Martín de Diego, Aradhana Nayak, Rodrigo Sato Martín de Almagro
Geometric Optimal Trajectory Tracking of Nonholonomic Mechanical Systems. SIAM J. Control. Optim. 58 (3) (2020)
Leonardo Colombo, Héctor García de Marina, María Barbero-Liñán, David Martín de Diego
On the observability of relative positions in left-invariant multi-agent control systems and its application to formation control. CDC (2019)
David Martín de Diego, Rodrigo Sato Martín de Almagro
Variational order for forced Lagrangian systems II: Euler-Poincaré equations with forcing. CoRR (2019)
Leonardo Colombo, Héctor García de Marina, María Barbero-Liñán, David Martín de Diego
On the observability of relative positions in left-invariant multi-agent control systems and its application to formation control. CoRR (2019)
Elena Celledoni, Marta Farré Puiggalí, Eirik Hoel Høiseth, David Martín de Diego
Energy-Preserving Integrators Applied to Nonholonomic Systems. J. Nonlinear Sci. 29 (4) (2019)
Aradhana Nayak, Rodrigo Sato Martín de Almagro, Leonardo Colombo, David Martín de Diego
Optimal Trajectory Tracking of Nonholonomic Mechanical Systems: a geometric approach. CoRR (2019)
Aradhana Nayak, Rodrigo Sato Martín de Almagro, Leonardo Colombo, David Martín de Diego
Optimal Trajectory Tracking of Nonholonomic Mechanical Systems: a geometric approach. ACC (2019)
Leonardo Colombo, Sebastián J. Ferraro, David Martín de Diego
Geometric Integrators for Higher-Order Variational Systems and Their Application to Optimal Control. J. Nonlinear Sci. 26 (6) (2016)
María Barbero-Liñán, David Iglesias Ponte, David Martín de Diego
Morse Families In Optimal Control Problems. SIAM J. Control. Optim. 53 (1) (2015)
Leonardo Colombo, Rohit Gupta, Anthony M. Bloch, David Martín de Diego
Variational discretization for optimal control problems of nonholonomic mechanical systems. CDC (2015)
Fernando Jiménez, Marin Kobilarov, David Martín de Diego
Discrete Variational Optimal Control. J. Nonlinear Sci. 23 (3) (2013)
Leonardo Colombo, David Martín de Diego
On the geometry of higher-order variational problems on Lie groups CoRR (2011)
Fernando Jiménez, David Martín de Diego
A geometric approach to discrete mechanics for optimal control theory. CDC (2010)
David Iglesias Ponte, Juan Carlos Marrero, David Martín de Diego, Eduardo Martínez
Discrete Nonholonomic Lagrangian Systems on Lie Groupoids. J. Nonlinear Sci. 18 (3) (2008)
Manuel de León, David Martín de Diego, Aitor Santamaría-Merino
Discrete variational integrators and optimal control theory. Adv. Comput. Math. 26 (1-3) (2007)
Sebastián J. Ferraro, David Martín de Diego
Discussion on: ''Symmetry Reduction and Control of the Dynamics of a 2-D Rigid Circular Cylinder and a Point Vortex: Vortex Capture and Scattering''. Eur. J. Control 13 (6) (2007)
Manuel de León, David Martín de Diego, Aitor Santamaría-Merino
Geometric Numerical Integration of Nonholonomic Systems and Optimal Control Problems. Eur. J. Control 10 (5) (2004)
Jorge Cortés, Manuel de León, David Martín de Diego, Sonia Martínez
Geometric Description of Vakonomic and Nonholonomic Dynamics. Comparison of Solutions. SIAM J. Control. Optim. 41 (5) (2002)