Publications

Miguel Vaquero, J. Cortés (2026). On the Regularization of Primal-Dual Dynamics in Time-Dependent Nonconvex Optimization. arXiv preprint arXiv:2610.19916.

J. Hu, D. Martín de Diego, J.-P. Ortega, Miguel Vaquero (2026). Learning Hamiltonians from Trajectory Data with Kernel Methods. arXiv preprint arXiv:2610.17835.

M. Caserta, A. García Romero, Miguel Vaquero (2026). A Robust Chance Constrained Approach to Surgery Scheduling. arXiv preprint arXiv:2608.03931.

E. Celledoni, D. Martín de Diego, B. Owren, Miguel Vaquero (2026). A Unified Discrete Gradient-SAV Framework for Structure-Preserving Integration. arXiv preprint arXiv:2607.27795.

A. Cabrera, D. Martín de Diego, Miguel Vaquero (2026). Approximating Symplectic Realizations: A General Framework for the Construction of Poisson Integrators. arXiv preprint arXiv:2409.04342.

G. Bianchin, Miguel Vaquero, J. Cortés, E. Dall’Anese (2026). The Role of Network Connectivity in Distributed k-Agreement Protocols. Automatica, 185, 112753.

D. Peralta-Salas, Miguel Vaquero (2024). Beltrami Fields with Morse Proportionality Factor. Journal of Mathematical Analysis and Applications, 540(2), 128632.

G. Bianchin, Miguel Vaquero, J. Cortés, E. Dall’Anese (2024). k-Dimensional Agreement in Multiagent Systems. IEEE Transactions on Automatic Control, 69(12), 8978–8985.

Miguel Vaquero, J. Cortés, D. Martín de Diego (2024). Symmetry Preservation in Hamiltonian Systems: Simulation and Learning. Journal of Nonlinear Science, 34(6), 115.

G. Bianchin, Miguel Vaquero, J. Cortés, E. Dall’Anese (2023). Online Stochastic Optimization for Unknown Linear Systems: Data-Driven Synthesis and Controller Analysis. IEEE Transactions on Automatic Control, 69(7), 4411–4426.

Miguel Vaquero, P. Mestres, J. Cortés (2022). Resource-Aware Discretization of Accelerated Optimization Flows: the Heavy-Ball Dynamics Case. IEEE Transactions on Automatic Control, 68(4), 2109–2124.

M. de León, D. Martín de Diego, Miguel Vaquero (2017). Hamilton-Jacobi theory, Symmetries and Coisotropic reduction. Journal de Mathématiques Pures et Appliquées, 107(5), 591–614.

S. Ferraro, M. de León, J.C. Marrero, D. Martín de Diego, Miguel Vaquero (2017). On the geometry of the Hamilton-Jacobi equation and generating functions. Archive for Rational Mechanics and Analysis, 226, 243–302.

C.M. Campos, M. de León, D. Martín de Diego, Miguel Vaquero (2015). A Hamilton-Jacobi theory in Cauchy data spaces. Reports on Mathematical Physics, 76(3), 359–387.

M. de León, D. Martín de Diego, Miguel Vaquero (2014). A Hamilton-Jacobi theory on Poisson manifolds. Journal of Geometric Mechanics, 6(1), 121–140.

M. de León, J.C. Marrero, D. Martín de Diego, Miguel Vaquero (2013). On the Hamilton-Jacobi theory for singular Lagrangian systems. Journal of Mathematical Physics, 54(3), 032902.

D. Iglesias-Ponte, J.C. Marrero, Miguel Vaquero (2013). Poly-Poisson structures. Letters in Mathematical Physics, 103(10), 1103–1133.

M. de León, D. Martín de Diego, Miguel Vaquero (2012). A Hamilton-Jacobi theory for singular Lagrangian systems in the Skinner and Rusk setting. International Journal of Geometric Methods in Modern Physics, 9(8), 1250074.

Miguel Vaquero, D. Martín de Diego, J. Cortés (2024). Designing Poisson Integrators through Machine Learning. IFAC-PapersOnLine, 58(6), 31–35.

G. Bianchin, Miguel Vaquero, J. Cortés, E. Dall’Anese (2021). Data-Driven Synthesis of Optimization-Based Controllers for Regulation of Unknown Linear Systems. IEEE Conference on Decision and Control.

Miguel Vaquero, J. Cortés (2019). Convergence-Rate-Matching Discretization of Accelerated Optimization Flows through Opportunistic State-Triggered Control. NeurIPS.

Miguel Vaquero, J. Cortés (2018). Distributed Augmentation-Regularization for Robust Online Convex Optimization. IFAC NecSys.