Copertina

Multi-stage model predictive control for slug flow crystallizers using uncertainty-aware surrogate models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Johnson, Collin R., de Vries, Stijn, Wohlgemuth, Kerstin, Lucia, Sergio
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Systems and Control
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

A tutorial overview of model predictive control for continuous crystallization: current possibilities and future perspectives
di: Johnson, Collin R., et al.
Pubblicazione: (2025)

Ellipsoidal partitions for improved multi-stage robust model predictive control
di: Heinlein, Moritz, et al.
Pubblicazione: (2025)

Output-feedback model predictive control under dynamic uncertainties using integral quadratic constraints
di: Schwenkel, Lukas, et al.
Pubblicazione: (2025)

Computationally efficient Gauss-Newton reinforcement learning for model predictive control
di: Brandner, Dean, et al.
Pubblicazione: (2025)

On the validity of using the delta method for calculating the uncertainty of the predictions from an overparameterized model
di: Malmström, Magnus, et al.
Pubblicazione: (2023)

Distributionally robust two-stage model predictive control: adaptive constraint tightening with stability guarantee
di: Zheng, Weijiang, et al.
Pubblicazione: (2026)

Kernel-based error bounds of bilinear Koopman surrogate models for nonlinear data-driven control
di: Strässer, Robin, et al.
Pubblicazione: (2025)

Closed-loop model-predictive wind farm flow control under time-varying inflow using FLORIDyn
di: Becker, Marcus, et al.
Pubblicazione: (2025)

Trajectory tracking model-following control using Lyapunov redesign with output time-derivatives to compensate unmatched uncertainties
di: Tietze, Niclas, et al.
Pubblicazione: (2025)

Fourth-order suboptimality of nominal model predictive control in the presence of uncertainty
di: Messerer, Florian, et al.
Pubblicazione: (2024)

A new graph-based surrogate model for rapid prediction of crashworthiness performance of vehicle panel components
di: Li, Haoran, et al.
Pubblicazione: (2025)

Towards model based control of the Vertical Gradient Freeze crystal growth process
di: Ecklebe, Stefan, et al.
Pubblicazione: (2019)

Robust reduced-order model predictive control using peak-to-peak analysis of filtered signals
di: Köhler, Johannes, et al.
Pubblicazione: (2025)

Convergence guarantees for adaptive model predictive control with kinky inference
di: Zuliani, Riccardo, et al.
Pubblicazione: (2023)

Cooperative nonlinear distributed model predictive control with dissimilar control horizons
di: Chanfreut, Paula, et al.
Pubblicazione: (2024)

Gaussian processes for dynamics learning in model predictive control
di: Scampicchio, Anna, et al.
Pubblicazione: (2025)

Dynamic modeling and predictive control of a microfluidic system
di: Martinez, Jorge Vicente, et al.
Pubblicazione: (2024)

Energy-efficient predictive control for connected, automated driving under localization uncertainty
di: Joa, Eunhyek, et al.
Pubblicazione: (2024)

Improved uncertainty quantification for neural networks with Bayesian last layer
di: Fiedler, Felix, et al.
Pubblicazione: (2023)

Probabilistically safe controllers based on control barrier functions and scenario model predictive control
di: Nascimento, Allan Andre do, et al.
Pubblicazione: (2024)

Learning the cost-to-go for mixed-integer nonlinear model predictive control
di: Orrico, Christopher A., et al.
Pubblicazione: (2024)

Measured-state conditioned recursive feasibility for stochastic model predictive control
di: Fiacchini, Mirko, et al.
Pubblicazione: (2024)

Error bounds for maxout neural network approximations of model predictive control
di: Teichrib, Dieter, et al.
Pubblicazione: (2023)

An overview of systems-theoretic guarantees in data-driven model predictive control
di: Berberich, Julian, et al.
Pubblicazione: (2024)

Analysis and design of model predictive control frameworks for dynamic operation -- An overview
di: Köhler, Johannes, et al.
Pubblicazione: (2023)

On discount functions for economic model predictive control without terminal conditions
di: Schwenkel, Lukas, et al.
Pubblicazione: (2024)

Efficient model predictive control for nonlinear systems modelled by deep neural networks
di: Lan, Jianglin
Pubblicazione: (2024)

Robust contraction-based model predictive control for nonlinear systems
di: Polver, Marco, et al.
Pubblicazione: (2025)

Reduced-order Koopman modeling and predictive control of nonlinear processes
di: Zhang, Xuewen, et al.
Pubblicazione: (2024)

Experimental implementation of an economic model predictive control for froth flotation
di: Quintanilla, Paulina, et al.
Pubblicazione: (2024)

Data-driven model predictive control of battery storage units
di: Lipka, Johannes B., et al.
Pubblicazione: (2024)

Uncertainty-aware data-driven predictive control in a stochastic setting
di: Breschi, Valentina, et al.
Pubblicazione: (2022)

Region-free explicit model predictive control for linear systems on Hilbert spaces
di: Kurula, Mikael, et al.
Pubblicazione: (2022)

A novel trajectory optimization algorithm for continuous-time model predictive control
di: Das, Souvik, et al.
Pubblicazione: (2023)

Learning a convex cost-to-go for single step model predictive control
di: Turan, E. M., et al.
Pubblicazione: (2023)

Constrained finite-time stabilization by model predictive control: an infinite control horizon framework
di: Zhu, Bing, et al.
Pubblicazione: (2026)

Disturbance feedback-based model predictive control in uncertain dynamic environments
di: Buschermöhle, Philipp, et al.
Pubblicazione: (2024)

Nonlinear model predictive control-based guidance law for path following of unmanned surface vehicles
di: Bejarano, G., et al.
Pubblicazione: (2024)

A state reduction approach for learning-based model predictive control for train rescheduling
di: da Silva, Caio Fabio Oliveira, et al.
Pubblicazione: (2025)

A characteristic function framework for chance constraint programming in stochastic model predictive control
di: Ying, Yuwei, et al.
Pubblicazione: (2026)