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
More filters
Journal ArticleDOI
Fractional-Derivative Approximation of Relaxation in Complex Systems
TL;DR: A system identification procedure that enables building linear time-dependent fractional-order differential equation (FDE) models able to accurately describe time- dependent behavior of complex systems and can be used to derive accurate and compact models from experimental data is presented.
Journal ArticleDOI
Nonlinear stability control of autonomous vehicles: a MIMO D2-IBC solution
TL;DR: In this paper, the D 2 -IBC (Data Driven - Inversion Based Control) method was used for nonlinear vehicle stability control design by using the data from data not to optimize the open-loop model matching but to maximize the closed-loop performance.
Proceedings ArticleDOI
Robust Model Predictive Control with Data-Driven Koopman Operators
TL;DR: This paper presents robust Koopman model predictive control (RK-MPC), a framework that leverages the training errors of data-driven models to improve constraint satisfaction and formulate a convex, robust finite-horizon optimal control problem that is real-time implementable.
Journal ArticleDOI
Iterative Learning Based Accumulative Disturbance Observer for Repetitive Systems via a Virtual Linear Data Model
TL;DR: This work explores the problem of observing nonrepetitive disturbances under an almost data-driven framework and proposes an iterative learning-based accumulative disturbance observer (ILADOB), a state-based and output-based ILADOB methods that are executed along the iteration direction all over the finite time interval pointwisely using the system data from preceding trials.
Posted ContentDOI
Model-Free Adaptive Nonlinear Control of the Absorption Refrigeration System
TL;DR: In order to improve the temperature tracking control problem of single-effect LiBr/H 2 O absorption chiller, new control laws of model-free adaptive control with output error rate (MFAC-OER) have been derived through an exhaustive convergence and stability analysis.
References
More filters
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.
Related Papers (5)
A Novel Data-Driven Control Approach for a Class of Discrete-Time Nonlinear Systems
Zhongsheng Hou,Shangtai Jin +1 more
Data-Driven Model-Free Adaptive Control for a Class of MIMO Nonlinear Discrete-Time Systems
Zhongsheng Hou,Shangtai Jin +1 more