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
Learning against uncertainty in control engineering
TL;DR: In this article , some data-based control design options that can be used to accommodate for the presence of uncertainties in continuous-state engineering systems are recalled and discussed and focus is made on reinforcement learning, stochastic model predictive control and certification via randomized optimization.
Proceedings ArticleDOI
A data-driven approach to power converter control via convex optimization
TL;DR: A new model-reference data-driven approach is presented for synthesizing controllers for the CERN power converter control system that uses the frequency response function (FRF) of a system in order to avoid the problem of unmodeled dynamics associated with low-order parametric models.
Journal ArticleDOI
Estimated plant’s sensitivity based on data-driving observer for a class of nonlinear discrete-time control systems
TL;DR: An adaptive controller based on Fuzzy rule emulated network (FREN) for a class of nonlinear discrete-time systems with satisfactory performance is presented.
Journal ArticleDOI
Discrete-time fractional-order control based on data-driven equivalent model
TL;DR: A controller based on an equivalent data-driven model is proposed, such that, the implementation relies only on the input–output information of the controlled plant, with the aim of enhancing the closed-loop performance.
Journal ArticleDOI
Distributed model-free adaptive control for multi-agent systems with external disturbances and DoS attacks
TL;DR: In this article , a distributed consensus control algorithm for nonlinear multi-agent systems (MASs) with external disturbances and denial-of-service (DoS) attacks is presented, and simulations verify its superiority in tracking time and tracking accuracy over other control algorithms.
References
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Book
System Identification: Theory for the User
TL;DR: Das Buch behandelt die Systemidentifizierung in dem theoretischen Bereich, der direkte Auswirkungen auf Verstaendnis and praktische Anwendung der verschiedenen Verfahren zur IdentifIZierung hat.
Book ChapterDOI
A New Approach to Linear Filtering and Prediction Problems
TL;DR: In this paper, the clssical filleting and prediclion problem is re-examined using the Bode-Shannon representation of random processes and the?stat-tran-sition? method of analysis of dynamic systems.
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
Technical Note : \cal Q -Learning
Chris Watkins,Peter Dayan +1 more
TL;DR: This paper presents and proves in detail a convergence theorem forQ-learning based on that outlined in Watkins (1989), showing that Q-learning converges to the optimum action-values with probability 1 so long as all actions are repeatedly sampled in all states and the action- values are represented discretely.
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