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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Proceedings ArticleDOI
Improved Model Free Adaptive Control Based on Compact Form Dynamic Linearization
TL;DR: An improved model free adaptive control method based on compact format dynamic linearization technique for a class of nonlinear systems that can strongly improve the dynamical performance of control systems.
Journal ArticleDOI
A data-driven approach for trajectory-based aircraft operation with controlled time of arrival and along-track wind effects:
TL;DR: This work applies the model-free adaptive iterative learning control method to address the time-of-arrival control problem in trajectory-based aircraft operation and shows that this method, combined with point-to-point iterativelearning control (ILC) strategy, can effectively deal with the arrival time control problem with multiple time constraints.
Journal ArticleDOI
Output Feedback Controller for a Class of Unknown Nonlinear Discrete Time Systems Using Fuzzy Rules Emulated Networks and Reinforcement Learning
TL;DR: A model-free adaptive control for non-affine discrete time systems is developed by utilising the output feedback and action-critic networks and the theoretical derivation of the convergence of the tracking error and internal signal is demonstrated.
Posted Content
Scaled Small-Gain Approach to Robust Control of LPV Systems with Uncertain Varying Delay
TL;DR: A Lyapunov-Krasovskii functional (LKF) is proposed whose derivative is augmented with terms resulted from the descriptor method and stability analysis, along with control synthesis conditions, are derived in a convex linear matrix inequality (LMI) setting.
Journal ArticleDOI
Data-Driven Control of Positive Linear Systems using Linear Programming
TL;DR: In this paper , a linear-programming-based algorithm is proposed to perform data-driven stabilizing control of linear positive systems, where a set of state-input-transition observations is collected up to magnitude-bounded noise.
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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