:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Quintanilla, Paulina, Navia, Daniel, Neethling, Stephen, Brito-Parada, Pablo
Format:	Preprint
Published:	2024
Subjects:	Systems and Control
Online Access:	https://arxiv.org/abs/2410.19661
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Digital twin with automatic disturbance detection for an expert-controlled SAG mill
by: Quintanilla, Paulina, et al.
Published: (2025)

Digital twin with automatic disturbance detection for real-time optimization of a semi-autogenous grinding (SAG) mill
by: Quintanilla, Paulina, et al.
Published: (2024)

Grey-box Recursive Parameter Identification of a Nonlinear Dynamic Model for Mineral Flotation
by: González, Rodrigo A., et al.
Published: (2024)

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

Model predictive control for tracking using artificial references: Fundamentals, recent results and practical implementation
by: Krupa, Pablo, et al.
Published: (2024)

Harmonic model predictive control for tracking sinusoidal references and its application to trajectory tracking
by: Krupa, Pablo, et al.
Published: (2023)

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

Cooperative distributed model predictive control for embedded systems: Experiments with hovercraft formations
by: Stomberg, Gösta, et al.
Published: (2024)

Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization
by: Zhang, Xuewen, et al.
Published: (2025)

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

Learning-based data-enabled economic predictive control with convex optimization for nonlinear systems
by: Yan, Mingxue, et al.
Published: (2025)

Bilinear controllability for the linear KdV-Schr{ö}dinger equation
by: Buffe, Rémi, et al.
Published: (2026)

Mapping back and forth between model predictive control and neural networks
by: Drummond, Ross, et al.
Published: (2024)

Feedback stabilization of some fourth-order nonlinear parabolic equations with saturated controls
by: Guzmán, Patricio, et al.
Published: (2025)

A lightweight numerical model for predictive control of borehole thermal energy storages
by: van Randenborgh, Johannes, et al.
Published: (2025)

Efficient implementation of MPC for tracking using ADMM by decoupling its semi-banded structure
by: Gracia, Victor, et al.
Published: (2024)

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

Extending direct data-driven predictive control towards systems with finite control sets
by: Klädtke, Manuel, et al.
Published: (2024)

A software framework for stochastic model predictive control of nonlinear continuous-time systems (GRAMPC-S)
by: Landgraf, Daniel, et al.
Published: (2024)

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

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

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

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

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

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

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

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

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

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

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

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

Experimentally implemented dynamic optogenetic optimization of ATPase expression using knowledge-based and Gaussian-process-supported models
by: Espinel-Ríos, Sebastián, et al.
Published: (2024)

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

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

Smart energy management: process structure-based hybrid neural networks for optimal scheduling and economic predictive control in integrated systems
by: Wu, Long, et al.
Published: (2024)

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

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

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

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

Robust stability analysis of a simple data-driven model predictive control approach
by: Bongard, Joscha, et al.
Published: (2021)