do-mpc: Towards FAIR nonlinear and robust model predictive control

A high-fidelity building performance simulation test bed for the development and evaluation of advanced controls

(2022) Thibault Marzullo et al.   Journal of Building Performance Simulation

Field demonstration and implementation analysis of model predictive control in an office HVAC system

(2022) David Blum et al.   APPLIED ENERGY

Stable and robust LQR design via scenario approach

(2021) Anna Scampicchio et al.   AUTOMATICA

State of the art review on model predictive control (MPC) in Heating Ventilation and Air-conditioning (HVAC) field

(2021) Ye Yao et al.   BUILDING AND ENVIRONMENT

Industrial, large-scale model predictive control with structured neural networks

(2021) Pratyush Kumar et al.   COMPUTERS & CHEMICAL ENGINEERING

Probabilistic performance validation of deep learning‐based robust NMPC controllers

(2021) Benjamin Karg et al.   INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL

Data‐enabled predictive control for quadcopters

(2021) Ezzat Elokda et al.   INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL

Best practices in machine learning for chemistry

(2021) Nongnuch Artrith et al.   Nature Chemistry

Nonlinear Control Strategies for an Autonomous Wing-In-Ground-Effect Vehicle

(2021) Davide Patria et al.   SENSORS

acados—a modular open-source framework for fast embedded optimal control

(2021) Robin Verschueren et al.   Mathematical Programming Computation

A Sensitivity-Based Data Augmentation Framework for Model Predictive Control Policy Approximation

(2021) Dinesh Krishnamoorthy   IEEE TRANSACTIONS ON AUTOMATIC CONTROL

SciPy 1.0: fundamental algorithms for scientific computing in Python

(2020) Pauli Virtanen et al.   NATURE METHODS

Efficient Representation and Approximation of Model Predictive Control Laws via Deep Learning

(2020) Benjamin Karg et al.   IEEE Transactions on Cybernetics

A software framework for embedded nonlinear model predictive control using a gradient-based augmented Lagrangian approach (GRAMPC)

(2019) Tobias Englert et al.   OPTIMIZATION AND ENGINEERING

Implementation and relevance of FAIR data principles in biopharmaceutical R&D

(2019) John Wise et al.   DRUG DISCOVERY TODAY

Eingebettete Optimierung in der Regelungstechnik – Grundlagen und Herausforderungen

(2018) Rolf Findeisen et al.   AT-Automatisierungstechnik

FORCES NLP: an efficient implementation of interior-point methods for multistage nonlinear nonconvex programs

(2017) A. Zanelli et al.   INTERNATIONAL JOURNAL OF CONTROL

Stochastic Model Predictive Control: An Overview and Perspectives for Future Research

(2016)   IEEE CONTROL SYSTEMS MAGAZINE

The FAIR Guiding Principles for scientific data management and stewardship

(2016) Mark D. Wilkinson et al.   Scientific Data

Model Predictive Control: MPC's Role in the Evolution of Power Electronics

(2015) Samir Kouro et al.   IEEE Industrial Electronics Magazine

Model Predictive Control: A Review of Its Applications in Power Electronics

(2014) Sergio Vazquez et al.   IEEE Industrial Electronics Magazine

Soft Constrained Model Predictive Control With Robust Stability Guarantees

(2014) Melanie N. Zeilinger et al.   IEEE TRANSACTIONS ON AUTOMATIC CONTROL

Multi-stage nonlinear model predictive control applied to a semi-batch polymerization reactor under uncertainty

(2013) Sergio Lucia et al.   JOURNAL OF PROCESS CONTROL

Structure detection and parameter estimation for NARX models in a unified EM framework

(2012) Tara Baldacchino et al.   AUTOMATICA

Tube-based robust nonlinear model predictive control

(2011) D. Q. Mayne et al.   INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL

Perspectives on system identification

(2010) Lennart Ljung   ANNUAL REVIEWS IN CONTROL