Journal ArticleDOI
From model-based control to data-driven control: Survey, classification and perspective
Zhongsheng Hou,Zhuo Wang +1 more
TLDR
This paper is a brief survey on the existing problems and challenges inherent in model-based control (MBC) theory, and some important issues in the analysis and design of data-driven control (DDC) methods are here reviewed and addressed.About:
This article is published in Information Sciences.The article was published on 2013-06-01. It has received 828 citations till now.read more
Citations
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Journal ArticleDOI
Machine learning
TL;DR: Machine learning addresses many of the same research questions as the fields of statistics, data mining, and psychology, but with differences of emphasis.
Journal ArticleDOI
Data-Based Techniques Focused on Modern Industry: An Overview
TL;DR: The main objective of this paper is to review and summarize the recent achievements in data-based techniques, especially for complicated industrial applications, thus providing a referee for further study on the related topics both from academic and practical points of view.
Proceedings ArticleDOI
Data-Enabled Predictive Control: In the Shallows of the DeePC
TL;DR: In this paper, a data-enabled predictive control (DeePC) algorithm is presented that computes optimal and safe control policies using real-time feedback driving the unknown system along a desired trajectory while satisfying system constraints.
Big Data for Modern Industry: Challenges and Trends
Shen Yin,Okyay Kaynak +1 more
TL;DR: Finds ways in business and industry is working to manage data and reports on applications that support these initiatives.
Journal ArticleDOI
Data-Driven Model Predictive Control With Stability and Robustness Guarantees
TL;DR: The presented results provide the first (theoretical) analysis of closed-loop properties, resulting from a simple, purely data-driven MPC scheme, including a slack variable with regularization in the cost.
References
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Journal ArticleDOI
Direct data-driven recursive controller unfalsification with analytic update
TL;DR: Conditions for stability of ellipsoidal unfalsified control are presented, and the effectiveness of the proposed algorithm is shown in a simulation.
Journal ArticleDOI
Iterative Controller Optimization for Nonlinear Systems
Jonas Sjöberg,F. De Bruyne,Mukul Agarwal,Brian D. O. Anderson,Michel Gevers,F.J. Kraus,N. Linard +6 more
TL;DR: In this paper, an estimate of the gradient of the control criterion can be constructed using only signal-based information obtained from closed-loop experiments, which can be expected to be small in many practical situations.
Journal ArticleDOI
Identification of chemical processes using canonical variate analysis
TL;DR: In this paper, a method of identification of linear input-output models using canonical variate analysis (CVA) is developed for application to chemical processes, which yields both a process model and a nonparametric description of model uncertainty, utilizing CVA for selection of a state coordinate system that optimally relates past inputs and outputs to future outputs.
Journal Article
Clustering Algorithm for Multiple Data Streams Based on Spectral Component Similarity
Ling-Jun Zou,Ling Chen,Li Tu +2 more
TL;DR: A new algorithm to cluster multiple and parallel data streams using spectral component similarity analysis, a new similarity metric, which has better clustering quality, efficiency, and stability than other existing methods.
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