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Ordinamento Alfabetico Alf. decr. Rilevanza Anno cresc. Anno decr.

Localizzazione Tutte Risorse pubblicate in Toscana

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Risultati 1-19 di 19

testo

Invariant Set-based Methods for the Computation of Input and Disturbance Sets

Mulagaleti, Sampath Kumar

testo

Distributed proximal algorithms for large-scale structured optimization

Latafat, Puya

testo

Bounded-variable least-squares methods for linear and nonlinear model predictive control

Saraf, Nilay

testo

Proximal algorithms for structured nonconvex optimization

Themelis, Andreas

testo

Mixed-integer quadratic programming algorithms for embedded control and estimation

Naik, Vihangkumar Vinaykumar

testo

Towards automated data-driven modeling of linear parameter-varying systems

Mejari, Manas

testo

Hierarchical planning and stochastic optimization algorithms with applications to self-driving vehicles and finance

Graf Plessen, Mogens

testo

Model learning from data

from centralized multi-model regression to distributed cloud-aided single-model estimation

Breschi, Valentina

testo

Proximal envelopes

smooth optimization algorithms for nonsmooth problems

Stella, Lorenzo, 1985-

testo

Parallel methods for solving stochastic optimal control problems

control of drinking water networks

Sampathirao, Ajay Kumar

testo

Coordinate-Descent Augmented Lagrangian Methods for Interpretative and Adaptive Model Predictive Control

Wu, Liang

testo

Model predictive control for legged robots

Rathod, Niraj

testo

Learning-based Stochastic Model Predictive Control for Autonomous Driving

Soman, Surya

testo

Stochastic Model Predictive Control of Nonlinear and Uncertain Systems

Herceg, Domagoj

testo

Machine learning methods for control, identification, and estimation

Masti, Daniele

testo

Learning optimal control policies from data: a partially model-based actor-only approach

Ferrarotti, Laura

testo

Predictive control for linear and hybrid systems

Borrelli, Francesco ingegnere informatico

testo

Time series forecasting based on classification of dynamic patterns

López Farías, Rodrigo

testo

Quasi-Newton methods for solving nonsmooth optimization problems in learning and control

Adeyemi Damilare Adeoye

Risultati 1-19 di 19

biblio toscana

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Risultati ricerca

Invariant Set-based Methods for the Computation of Input and Disturbance Sets

Distributed proximal algorithms for large-scale structured optimization

Bounded-variable least-squares methods for linear and nonlinear model predictive control

Proximal algorithms for structured nonconvex optimization

Mixed-integer quadratic programming algorithms for embedded control and estimation

Towards automated data-driven modeling of linear parameter-varying systems

Hierarchical planning and stochastic optimization algorithms with applications to self-driving vehicles and finance

Model learning from data

from centralized multi-model regression to distributed cloud-aided single-model estimation

Proximal envelopes

smooth optimization algorithms for nonsmooth problems

Parallel methods for solving stochastic optimal control problems

control of drinking water networks

Coordinate-Descent Augmented Lagrangian Methods for Interpretative and Adaptive Model Predictive Control

Model predictive control for legged robots

Learning-based Stochastic Model Predictive Control for Autonomous Driving

Stochastic Model Predictive Control of Nonlinear and Uncertain Systems

Machine learning methods for control, identification, and estimation

Learning optimal control policies from data: a partially model-based actor-only approach

Predictive control for linear and hybrid systems

Time series forecasting based on classification of dynamic patterns

Quasi-Newton methods for solving nonsmooth optimization problems in learning and control

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Risultati ricerca

from centralized multi-model regression to distributed cloud-aided single-model estimation

smooth optimization algorithms for nonsmooth problems

control of drinking water networks

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