Name: SHU Course: Principles of AI for Control and Optimization
Start: 2021-09-27
End: 2021-11-11
Location: Worldwide

2021 Accepted DyCon Enrique Zuazua Jan Heiland Publications WP4-SINV

Classical system theory revisited for Turnpike in standard state space systems and impulse controllable descriptor systems

Darlis Bracho Tudares 25 August, 2021 descriptor systems linear systems long time behavior optimal control Riccati equations

Heiland J., Zuazua E. Classical system theory revisited for Turnpike in standard state space systems and impulse controllable descriptor systems (2021) SIAM J. Control Optim. Abstract.…

2021 2021-accepted Accepted Enrique Zuazua Noboru Sakamoto Publications

The turnpike property in nonlinear optimal control – A geometric approach

Darlis Bracho Tudares 17 July, 2021 Nonlinear system optimal control Turnpike

N. Sakamoto, E. Zuazua. The turnpike property in nonlinear optimal control – A geometric approach. (2021) Automatica. Abstract: This paper presents, using dynamical system theory,…

2021 Borjan Geshkovski Carlos Esteve Dario Pighin DyCon Enrique Zuazua Publications Submitted

Large-time asymptotics in deep learning

Darlis Bracho Tudares 31 March, 2021 deep learning Neural ODEs optimal control Residual Neural Networks Supervised Learning turnpike property

Esteve C., Geshkovski B., Pighin D., Zuazua E. Large-time asymptotics in deep learning (2021). hal-02912516 Abstract. It is by now well-known that practical deep supervised learning…

2021 Borjan Geshkovski Carlos Esteve Publications Submitted

Sparse approximation in learning via neural ODEs

Darlis Bracho Tudares 1 March, 2021 deep learning Neural ODEs Nonlinear systems optimal control Sparsity Supervised Learning

Esteve C., Geshkovski B. Sparse approximation in learning via neural ODEs (2021) Abstract. We consider the continuous-time, neural ordinary differential equation (neural ODE) perspective of deep…

2020 2020-released Azahar Monge ConFlex DyCon Elkartek Enrique Zuazua ICON Nonlocal-PDEs Publications Released WP4-SINV

Sparse source identification of linear diffusion–advection equations by adjoint methods

oscar.rodriguez 7 October, 2020 Adjoint problem Diffusion–advection equation Inverse problems optimal control Optimization

Monge A., Zuazua E. Sparse source identification of linear diffusion–advection equations by adjoint methods. Syst. Control. Lett, vol. 145 (2020). DOI: https://doi.org/10.1016/j.sysconle.2020.104801 Abstract: We present…

Activities News

Turnpike Control and Deep Learning by Enrique Zuazua at IITK

Darlis Bracho Tudares 9 September, 2020 deep learning Neural ODEs optimal control Residual Neural Networks Supervised Learning turnpike property

Worldwide. 08.09.2020. Yesterday, our Head Enrique Zuazua gave a talk about “Turnpike Control and Deep Learning” hosted by IITK – Indian Institute of Technology, Kampur…

Turnpike Control and Deep Learning at IITK by E. Zuazua

Darlis Bracho Tudares 2 September, 2020 deep learning Neural ODEs optimal control Residual Neural Networks Supervised Learning turnpike control turnpike property

Next tuesday September 8th, our Head Enrique Zuazua will present “Turnpike Control and Deep Learning” on the IITK research seminars organized by IITK- Indian Institute of…

Activities News

Turnpike Control and Deep Learning – Fields Institute 2nd Simposium on Machine Learning and Dynamical Systems

Darlis Bracho Tudares 1 September, 2020 deep learning Neural ODEs optimal control Residual Neural Networks Supervised Learning turnpike property

Worldwide. 01.09.2020. The Fields Institute for Research in Mathematical Sciences at the University of Toronto, Canada organized the Second Simposium on Machine Learning and Dynamical…

2020 2020-released ConFlex COSNET DyCon Enrique Zuazua ICON Nonlocal-PDEs Publications Released Umberto Biccari WP6-FI

A stochastic approach to the synchronization of coupled oscillators

Darlis Bracho Tudares 22 June, 2020 coupled oscillators gradient descent Kuramoto model optimal control random batch method synchronization

Umberto Biccari, Enrique Zuazua. A stochastic approach to the synchronization of coupled oscillators. Frontiers in Energy Research, section Smart Grids. Front. Energy Res. Vol. 8 (2020).…

2020 2020-released ConFlex COSNET Dongnam Ko DyCon Enrique Zuazua ICON Nonlocal-PDEs Publications Released WP6-FI

Asymptotic behavior and control of a “guidance by repulsion” model

Darlis Bracho Tudares 11 May, 2020 Asymptotic stability Collective behavior Guidance by repulsion Herding optimal control

Dongnam Ko, E. Zuazua, Asymptotic behavior and control of a “guidance by repulsion” model. Math Models Methods Appl. Sci. Vol. 30, No. 04, pp. 765-804…