Data|driven Model Predictive Control Research Articles

Drake: any tutorial or example for nonlinear model predictive control?

We have a set of "trajectory optimization" classes that make it easy to set up a MathematicalProgram for this case. I'd recommend looking at ...

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

This study proposes introducing the model predictive control (MPC), an advanced control method explored in control engineering, into the ...

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, ...

Model predictive complex system control from observational and ...

Complex systems, characterized by intricate interactions among numerous entities, give rise to emergent behaviors whose data-driven modeling ...

Review on model predictive control: an engineering perspective

Data-driven modeling, such as machine learning, can be used for the system model that the MPC uses in its optimization, or to approximate the solution space of ...

Real-time deep learning-based model predictive control of a 3-DOF ...

Thus, in this research we are utilizing a data-driven dynamics model that is used as the prediction model in the proposed MPC strategy. Data ...

A Machine Learning-Based Model Predictive Control Method for ...

All journalsAll articles Submit your research ... control (MPC) ... Data-Driven Optimization Framework for Nonlinear Model Predictive Control.

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 ...

Sparse identification of nonlinear dynamics for model predictive ...

... Research articles. Sparse identification of nonlinear dynamics for model predictive control in the low-data ... MPC for effective and ...

Safe Data-Driven Model Predictive Control of Systems with Complex ...

In this paper we study three important challenges in DD-MPC: safety verification, model learning, and myopic predictions. Firstly, safety verification [21] ...

Self-tuning model predictive control for wake flows | Journal of Fluid ...

... article is properly cited. ... 2021 Automatic tuning for data-driven model predictive control. ... model predictive control and regression analysis ...

4 Data-Driven Model Predictive Control with Regression Trees—An ...

The contributions of the article are graphically shown in. Figure 1. ACM Transactions on Cyber-Physical Systems, Vol. 2, No. 1, Article 4. Publication date: ...

Linearized Gaussian processes for fast data-driven model predictive ...

Data-driven Model Predictive Control (MPC), where the system model ... Dive into the research ... Article 8814476 (Proceedings of the American Control Conference; ...

Deep model predictive control of gene expression in thousands of ...

Research articles · Reviews & Analysis ... Data-driven forecasting of high-dimensional ... Research data · Language editing · Scientific ...

FPGA accelerated model predictive control for autonomous driving

Purpose The purpose of this paper is to reduce the difficulty of model predictive control (MPC) deployment on FPGA so that researchers can ...

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

Research article | | 10 Jul 2024. Leading the Lorenz 63 system toward the prescribed regime by model predictive control coupled with data assimilation.

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

Stay informed on the latest trending ML papers with code, research developments, libraries, methods, and datasets. ... Data-driven model ...

Fast Explicit Machine Learning-Based Model Predictive Control of ...

A process-model-free method for model predictive control via a ...

All journalsAll articles Submit your research ... model-based PID controller: A case study on a high-pressure heater ... data-driven enhanced boiler control.

Effectiveness and safety of a model predictive control (MPC ...

In additional analysis of algorithm types, studies comparing algorithm-based artificial pancreas with conventional insulin therapy were selected ...