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ORCIDDavid Martín de Diego
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2020 – today
- 2024
[j19]Luis C. García-Naranjo
, Juan Carlos Marrero, David Martín de Diego, Paolo E. Petit Valdés:
Almost-Poisson Brackets for Nonholonomic Systems with Gyroscopic Terms and Hamiltonisation. J. Nonlinear Sci. 34(6): 110 (2024)- [j18]Miguel Vaquero, Jorge Cortés, David Martín de Diego:
Symmetry Preservation in Hamiltonian Systems: Simulation and Learning. J. Nonlinear Sci. 34(6): 115 (2024) - [i25]María Barbero-Liñán, Juan Carlos Marrero, David Martín de Diego:
From retraction maps to symplectic-momentum numerical integrators. CoRR abs/2401.14800 (2024) - [i24]Shreyas N. B., David Martín de Diego, Ravi Banavar:
Feedback Linearizable Discretizations of Second Order Mechanical Systems using Retraction Maps. CoRR abs/2403.18422 (2024) - [i23]Miguel Vaquero, David Martín de Diego, Jorge Cortés:
Designing Poisson Integrators Through Machine Learning. CoRR abs/2403.20139 (2024) - [i22]Cédric M. Campos, David Martín de Diego, José Torrente:
Momentum-based gradient descent methods for Lie groups. CoRR abs/2404.09363 (2024) - [i21]Ashutosh Jindal, Florentina Nicolau, David Martín de Diego, Ravi N. Banavar:
Constructing Dynamic Feedback Linearizable Discretizations. CoRR abs/2406.00982 (2024) - [i20]Alejandro Cabrera, David Martín de Diego, Miguel Vaquero:
Approximating Symplectic Realizations: A General Framework for the Construction of Poisson Integrators. CoRR abs/2409.04342 (2024) - 2023
- [j17]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: 2467-2472 (2023) - [j16]María Barbero-Liñán, David Martín de Diego:
Retraction Maps: A Seed of Geometric Integrators. Found. Comput. Math. 23(4): 1335-1380 (2023) - [j15]Alexandre Anahory Simoes, Sebastián J. Ferraro, Juan Carlos Marrero, David Martín de Diego:
A nonholonomic Newmark method. J. Comput. Appl. Math. 421: 114873 (2023) - [j14]Leonardo Colombo, Manuela Gamonal Fernández, David Martín de Diego:
Variational integrators for non-autonomous Lagrangian systems. J. Comput. Appl. Math. 424: 114966 (2023) - [j13]Cédric M. Campos, Alejandro Mahillo, David Martín de Diego:
Discrete Variational Calculus for Accelerated Optimization. J. Mach. Learn. Res. 24: 25:1-25:33 (2023) - [c6]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: 3288-3295 - [i19]Alexandre Anahory Simoes, David Martín de Diego, Bernhard Maschke:
Discrete gradient methods for irreversible port-Hamiltonian systems. CoRR abs/2303.08034 (2023) - [i18]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 abs/2303.17917 (2023) - [i17]Ashutosh Jindal, Ravi N. Banavar, David Martín de Diego:
Constructing Feedback Linearizable Discretizations for Continuous-Time Systems using Retraction Maps. CoRR abs/2305.09149 (2023) - [i16]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 abs/2306.06786 (2023) - [i15]Miguel Vaquero, Jorge Cortés, David Martín de Diego:
Symmetry Preservation in Hamiltonian Systems: Simulation and Learning. CoRR abs/2308.16331 (2023) - [i14]José Ángel Acosta, Anthony M. Bloch, David Martín de Diego:
Completeness of Riemannian metrics: an application to the control of constrained mechanical systems. CoRR abs/2311.14969 (2023) - 2022
- [j12]Alexandre Anahory Simoes, Juan Carlos Marrero, David Martín de Diego:
Exact discrete Lagrangian mechanics for nonholonomic mechanics. Numerische Mathematik 151(1): 49-98 (2022) - [i13]Alexandre Anahory Simões, Sebastián J. Ferraro, Juan Carlos Marrero, David Martín de Diego:
Nonholonomic Newmark method. CoRR abs/2201.13162 (2022) - [i12]Leonardo Colombo, Manuela Gamonal Fernández, David Martín de Diego:
Variational integrators for non-autonomous systems with applications to stabilization of multi-agent formations. CoRR abs/2202.01471 (2022) - [i11]María Barbero-Liñán, David Martín de Diego:
Presymplectic integrators for optimal control problems via retraction maps. CoRR abs/2203.00790 (2022) - [i10]Sebastián J. Ferraro, David Martín de Diego, Rodrigo Takuro Sato Martín de Almagro:
A parallel iterative method for variational integration. CoRR abs/2206.08968 (2022) - 2021
- [j11]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): 53 (2021) - [i9]María Barbero-Liñán, David Martín de Diego:
Extended retraction maps: a seed of geometric integrators. CoRR abs/2106.00607 (2021) - [i8]Cédric M. Campos, Alejandro Mahillo, David Martín de Diego:
A Discrete Variational Derivation of Accelerated Methods in Optimization. CoRR abs/2106.02700 (2021) - [i7]Sebastián J. Ferraro, David Martín de Diego, Rodrigo Sato Martín de Almagro:
Parallel iterative methods for variational integration applied to navigation problems. CoRR abs/2109.05559 (2021) - 2020
- [j10]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): 1652-1675 (2020) - [c5]Alexandre Anahory Simoes, David Martín de Diego, Manuel Lainz Valcázar, Manuel de León:
The Geometry of Some Thermodynamic Systems. SPIGL 2020: 247-275 - [i6]Alexandre Anahory Simoes, Juan Carlos Marrero, David Martín de Diego:
Exact discrete Lagrangian mechanics for nonholonomic mechanics. CoRR abs/2003.11362 (2020) - [i5]Alexandre Anahory Simoes, David Martín de Diego, Manuel de León, Manuel Lainz Valcázar:
On the geometry of discrete contact mechanics. CoRR abs/2003.11892 (2020)
2010 – 2019
- 2019
- [j9]Elena Celledoni, Marta Farré Puiggalí, Eirik Hoel Høiseth, David Martín de Diego:
Energy-Preserving Integrators Applied to Nonholonomic Systems. J. Nonlinear Sci. 29(4): 1523-1562 (2019) - [c4]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: 1924-1929 - [c3]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: 7333-7338 - [i4]Aradhana Nayak, Rodrigo Sato Martín de Almagro, Leonardo Colombo, David Martín de Diego:
Optimal Trajectory Tracking of Nonholonomic Mechanical Systems: a geometric approach. CoRR abs/1901.10374 (2019) - [i3]David Martín de Diego, Rodrigo Sato Martín de Almagro:
Variational order for forced Lagrangian systems II: Euler-Poincaré equations with forcing. CoRR abs/1906.09819 (2019) - [i2]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 abs/1909.08914 (2019) - 2016
- [j8]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): 1615-1650 (2016) - 2015
- [j7]María Barbero-Liñán, David Iglesias Ponte, David Martín de Diego:
Morse Families In Optimal Control Problems. SIAM J. Control. Optim. 53(1): 414-433 (2015) - [c2]Leonardo Colombo, Rohit Gupta, Anthony M. Bloch, David Martín de Diego:
Variational discretization for optimal control problems of nonholonomic mechanical systems. CDC 2015: 4047-4052 - [r1]David Martín de Diego:
Discrete Optimal Control. Encyclopedia of Systems and Control 2015 - 2013
- [j6]Fernando Jiménez, Marin Kobilarov, David Martín de Diego:
Discrete Variational Optimal Control. J. Nonlinear Sci. 23(3): 393-426 (2013) - 2011
- [i1]Leonardo Colombo, David Martín de Diego:
On the geometry of higher-order variational problems on Lie groups. CoRR abs/1104.3221 (2011) - 2010
- [c1]Fernando Jiménez, David Martín de Diego:
A geometric approach to discrete mechanics for optimal control theory. CDC 2010: 5426-5431
2000 – 2009
- 2008
- [j5]David Iglesias Ponte, Juan Carlos Marrero, David Martín de Diego, Eduardo Martínez:
Discrete Nonholonomic Lagrangian Systems on Lie Groupoids. J. Nonlinear Sci. 18(3): 221-276 (2008) - 2007
- [j4]Manuel de León, David Martín de Diego, Aitor Santamaría-Merino:
Discrete variational integrators and optimal control theory. Adv. Comput. Math. 26(1-3): 251-268 (2007) - [j3]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): 656-658 (2007) - 2004
- [j2]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): 515-521 (2004) - 2002
- [j1]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): 1389-1412 (2002)
Coauthor Index
aka: Rodrigo Takuro Sato Martín de Almagro
aka: Leonardo J. Colombo
aka: Alexandre Anahory Simoes
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last updated on 2024-11-07 21:36 CET by the dblp team
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