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Number of items: 16.

Di Vece, Marzio (2024) Gravity Models of Networks. Advisor: Bemporad, Prof. Alberto. Coadvisor: Squartini, Prof. Tiziano . pp. 203. [IMT PhD Thesis]

Soman, Surya (2023) Learning-based Stochastic Model Predictive Control for Autonomous Driving. Advisor: Bemporad, Prof. Alberto. Coadvisor: Zanon, Prof. Mario . pp. 80. [IMT PhD Thesis]

Rathod, Niraj (2023) Model Predictive Control for Legged Robots. Advisor: Bemporad, Prof. Alberto. Coadvisor: Focchi, Dr. Michele . pp. 158. [IMT PhD Thesis]

Wu, Liang (2023) Coordinate-Descent Augmented Lagrangian Methods for Interpretative and Adaptive Model Predictive Control. Advisor: Bemporad, Prof. Alberto. pp. 136. [IMT PhD Thesis]

Mulagaleti, Sampath Kumar (2023) Invariant Set-based Methods for the Computation of Input and Disturbance Sets. Advisor: Bemporad, Prof. Alberto. Coadvisor: Zanon, Prof. Mario . pp. 236. [IMT PhD Thesis]

Ferrarotti, Laura (2022) Learning optimal control policies from data: a partially model-based actor-only approach. Advisor: Bemporad, Prof. Alberto. pp. 216. [IMT PhD Thesis]

Masti, Daniele (2021) Machine learning methods for control, identification, and estimation. Advisor: Bemporad, Prof. Alberto. pp. 150. [IMT PhD Thesis]

Herceg, Domagoj (2020) Stochastic model predictive control of nonlinear and uncertain systems. Advisor: Bemporad, Prof. Alberto. Coadvisor: Sopasakis, Dr. Pantelis . pp. 149. [IMT PhD Thesis]

Saraf, Nilay (2019) Bounded-variable least-squares methods for linear and nonlinear model predictive control. Advisor: Bemporad, Prof. Alberto. Coadvisor: Bernardini, Dr. Daniele . pp. 159. [IMT PhD Thesis]

Naik, Vihangkumar Vinaykumar (2018) Mixed-integer quadratic programming algorithms for embedded control and estimation. Advisor: Bemporad, Prof. Alberto. pp. 171. [IMT PhD Thesis]

Mejari, Manas Dilip (2018) Towards automated data-driven modeling of linear parameter-varying systems. Advisor: Bemporad, Prof. Alberto. Coadvisor: Piga, Dott. Dario . pp. 181. [IMT PhD Thesis]

Graf Plessen, Mogens (2018) Hierarchical planning and stochastic optimization algorithms with applications to self-driving vehicles and finance. Advisor: Bemporad, Prof. Alberto. pp. 382. [IMT PhD Thesis]

Breschi, Valentina (2018) Model learning from data: from centralized multi-model regression to distributed cloud-aided single-model estimation. Advisor: Bemporad, Prof. Alberto. Coadvisor: Piga, Dott. Dario . pp. 249. [IMT PhD Thesis]

Sampathirao, Ajay Kumar (2016) Parallel methods for solving stochastic optimal control problems: control of drinking water networks. Advisor: Bemporad, Prof. Alberto. Coadvisor: Sopasakis, Dr. Pantelis . pp. 199. [IMT PhD Thesis]

Lopez Farias, Rodrigo (2015) Time series forecasting based on classification of dynamic patterns. Advisor: Bemporad, Prof. Alberto. Coadvisor: Sopasakis, Prof. Pantelis . pp. 140. [IMT PhD Thesis]

Guiggiani, Alberto (2015) Embedded model predictive control: finite precision arithmetic and aerospace applications. Advisor: Bemporad, Prof. Alberto. Coadvisor: Patrinos, Dott. Panagiotis . pp. 240. [IMT PhD Thesis]

This list was generated on Thu Apr 18 00:01:21 2024 CEST.