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
Improved Model-Free Adaptive Sliding-Mode-Constrained Control for Linear Induction Motor considering End Effects
TL;DR: An improved model-free adaptive sliding-mode-constrained control method is proposed to deal with the problem dispensing with internal parameters of the LIM, which has excellent dynamic performance and stronger robustness compared with traditional PID controller.
Journal ArticleDOI
Performance Optimization of a Steam Generator Level Control System via a Revised Simplex Search-Based Data-Driven Optimization Methodology
TL;DR: In this article , a data-driven optimization methodology based on the model-free optimization with a revised simplex search method was proposed to optimize the control system directly by using control performance measurements.
Journal ArticleDOI
An improved data-driven based model predictive control for zero-sequence circulating current suppression in paralleled converters
TL;DR: In this article , a model-free adaptive control (MFAC) is incorporated into the finite control-set model predictive control (FCS-MPC) framework with multi-objective constraints, thus allowing for the suppression of zero-sequence circulating current (ZSCC) and the improvement of robustness performance.
Journal ArticleDOI
Model Free Command Filtered Backstepping Control for Marine Power Systems
TL;DR: In this article, two novel model free command-filtered backstepping control methods are designed in order to retrain chaotic oscillation of marine power systems which are excited by periodic electromagnetism perturbation.
Journal ArticleDOI
On Perpendicular Curve-Based Model-Less Control Considering Incomplete Orientation Constraint
TL;DR: A novel perpendicular curve-based approach is developed, which provides a closed-form expression of the shortest path from current orientation to the target geodesic in SO(3) and proposes a new model-less robot motion control framework considering the IOC.
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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