Data|driven Model Predictive Control Research Articles

Data-driven MPC: From linear to nonlinear systems with guarantees

Data-driven MPC: From linear to nonlinear systems with guarantees. 11K views · 1 year ago ...more. Ifac YouTube. 2.49K. Subscribe.

[PDF] Data-driven model predictive control: closed-loop guarantees ...

This work provides a comprehensive review and practical implementation of a recently developed model predictive control framework for controlling unknown ...

Data-Driven Predictive Control for Autonomous Systems

A thorough liter- ature review goes beyond the scope of this article since the models vary across different fields of robotics. ... Research on scenario MPC has ...

Nonlinear model predictive control of a conductance-based neuron ...

We used recent advances in data-driven forecasting to construct a nonlinear machine-learning model of a Hodgkin–Huxley type neuron when only the membrane ...

Data Driven Economic Model Predictive Control | Scilit

journal article; research article; Published by MDPI AG in Mathematics. Vol. 6 (4), 51; https://doi.org/10.3390/math6040051. Abstract. This manuscript addresses ...

Automatic Tuning for Data-driven Model Predictive Control

Alternatively, researchers are increasingly relying on data-driven models using—among others— neural networks [25], Gaussian processes [24], or Koopman oper-.

shiivashaakeri/Data-Driven-Model-Predictive-Control-MPC ... - GitHub

This repository is an implementation of the robust data-driven model predictive control (MPC) scheme presented in the paper

Data-driven learning-based Model Predictive Control for energy ...

This paper proposes a data-driven learning-based Model Predictive Control (MPC) method for the integrated control of various devices in energy-intensive ...

DATA-DRIVEN MODEL PREDICTIVE CONTROL FOR AUTOMATED ...

Research output: Contribution to conference › Paper. Overview. Abstract. In accelerator labs such as GSI / FAIR, automating com-plex systems is ...

Data-driven model predictive control: closed-loop guarantees and ...

Further, we extend this MPC framework to control unknown nonlinear systems by continuously updating the data-driven system representation using new measurements ...

Data-driven model predictive control: closed-loop guarantees and ...

In this paper, we provide an overview of recent ad- vances in data-driven MPC based on [22]. We focus on MPC schemes with guaranteed closed-loop ...

Data-Driven Model Predictive Control using Interpolated Koopman ...

The main idea is to transform a control system into a set of autonomous systems for which the optimal switching sequence has to be computed. In this article, we ...

Towards Data-driven Optimal Control: A Systematic Review of the ...

These are further discussed in this sec- tion and this paper. A. MODEL PREDICTIVE CONTROL. MPC is a feedback control algorithm that uses the model.

Development of a Data-Driven Predictive Control Based on a Novel ...

Research output: Contribution to journal › Conference Article › peer-review ... Many research studies have demonstrated that MPC can significantly reduce ...

A Practical Data-Driven Multi-Model Approach to Model Predictive ...

The challenge of creating a model is a hurdle that makes the on-site implementation of MPC in buildings relatively rare. This study tackles the development of a ...

Handbook of linear data-driven predictive control

EIRES. Research output: Contribution to journal › Article › Academic › peer-review ... Data-driven control, Model free control, Predictive control ...

Data-driven model predictive control of underactuated ships with ...

Research Article. Information. The Journal of Navigation , Volume 75 ... This paper proposes a data-driven approach for predictions and control ...

Methods for Data-driven Model Predictive Control | Guide books

Model predictive control (MPC) is essential to optimal decision making in a broad range of applications like building energy management and autonomous racing.

Model-predictive kinetic control with data-driven models on EAST

Model-predictive kinetic control with data-driven models on EAST, Didier Moreau, S Wang, Jinping Qian, Q P Yuan, Yao Huang, Yichao Li, ...

Leading the Lorenz 63 system toward the prescribed regime ... - NPG

... model predictive control coupled with data assimilation. Leading the ... This study proposes introducing the model predictive control (MPC), an ...