Data|driven Model Predictive Control Research Articles

Real-life data-driven model predictive control for building energy ...

Still, scientific literature lacks consent about the most promising model types and efficient workflows to integrate different machine learning ...

An overview of systems-theoretic guarantees in data-driven model ...

Abstract page for arXiv paper 2406.04130: An overview of systems-theoretic guarantees in data-driven model predictive control.

Handbook of linear data-driven predictive control - ScienceDirect.com

No data was used for the research described in the article. References ... Data-driven model predictive control: closed-loop guarantees and experimental results.

A Data-Driven Approach to Set-Theoretic Model Predictive Control ...

This article is a revised and expanded version of a paper entitled: Francesco Giannini, et al. Set-theoretic receding horizon control for nonlinear systems: ...

Data-Driven Model Predictive Control With Stability and Robustness ...

This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of ...

Data-driven Iterative Learning Model Predictive Control for ...

Article 31 August 2021. Explore related subjects. Discover the latest articles, news and stories from top researchers in related subjects.

Data-driven model predictive control design for offset-free tracking of ...

The proposed scheme is validated to a continuous stirred tank reactor (CSTR) process. Simulation studies show that the suboptimal trajectory and LTV models are ...

Data-Driven Model Predictive Control for Autonomous Vehicle ...

To address existing vehicle control problems, this paper studies the existing Data-Driven MPC and, by integrating vehicle system ...

Data-Driven Distributed Model Predictive Control of Continuous ...

This work explores the design of distributed model predictive control (DMPC) systems using Gaussian process (GP) models to predict the nonlinear dynamic ...

Nonlinear Model Predictive Control with Evolutionary Data-Driven ...

This paper presents a new approach to the nonlinear model predictive control (NMPC) of an underactuated overhead crane system developed using a data-driven ...

Safe Data-Driven Model Predictive Control of Systems ... - IEEE Xplore

In this article, we address the task and safety performance of data-driven model predictive controllers (DD-MPC) for systems with complex dynamics.

Input‐mapping based data‐driven model predictive control for ...

Data-driven model predictive control (MPC) is an effective control method in controlling unknown constrained systems.

Review on model predictive control: an engineering perspective

With most of the theory laid out, it is time for a concise summary of it and an application-driven survey. This review article should serve as ...

Sparse Identification of Nonlinear Dynamics-Based Feature ...

This paper presents two methods of creating model predictive control ... These models are then used for data-driven model predictive control ...

Data-driven model predictive control for power demand ...

This study, therefore, developed a data-driven model predictive control ... Challenges and opportunities in smart grid: A position article.

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

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

Data-Driven Predictive Control for Autonomous Systems

In autonomous systems, the ability to make forecasts and cope with uncertain predictions is synonymous with intelligence. Model predictive ...

Knowledge-Data-Driven Model Predictive Control for a Class of ...

To solve this problem, a novel MPC, by utilizing knowledge-data-driven model (KDDM), is designed and analyzed in this article. In comparison ...

Data-Driven Predictive Control With Improved Performance Using ...

Data-Driven Model Predictive Control With Stability and Robustness Guarantees ... Semantic Scholar is a free, AI-powered research tool for scientific literature, ...

Introducing Dynamic Programming and Persistently Exciting into ...

In this paper, we continue to do a deep research on the data-driven model predictive control scheme and apply the idea of dynamic programming to ...