An overview of dynamic-linearization-based data-driven control and applications
A brief overview on the model-based control and data-driven control methods is presented.
The data-driven equivalent dynamic linearization, as a foundational analysis tool of data …
The data-driven equivalent dynamic linearization, as a foundational analysis tool of data …
Artificial neural networks in microgrids: A review
TB Lopez-Garcia, A Coronado-Mendoza… - … Applications of Artificial …, 2020 - Elsevier
In this work it is shown that artificial neural networks have certain characteristics that make
them advantageous in the development of controllers in the different levels of control that …
them advantageous in the development of controllers in the different levels of control that …
On model-free adaptive control and its stability analysis
Z Hou, S Xiong - IEEE Transactions on Automatic Control, 2019 - ieeexplore.ieee.org
In this paper, the main issues of model-based control methods are first reviewed, followed by
the motivations and the state of the art of the model-free adaptive control (MFAC). MFAC is a …
the motivations and the state of the art of the model-free adaptive control (MFAC). MFAC is a …
[图书][B] Data-driven model-free controllers
This book categorizes the wide area of data-driven model-free controllers, reveals the exact
benefits of such controllers, gives the in-depth theory and mathematical proofs behind them …
benefits of such controllers, gives the in-depth theory and mathematical proofs behind them …
High-order model-free adaptive iterative learning control of pneumatic artificial muscle with enhanced convergence
Pneumatic artificial muscles (PAMs) have been widely used in actuation of medical devices
due to their intrinsic compliance and high power-to-weight ratio features. However, the …
due to their intrinsic compliance and high power-to-weight ratio features. However, the …
Data-driven formation control for unknown MIMO nonlinear discrete-time multi-agent systems with sensor fault
S Xiong, Z Hou - IEEE transactions on neural networks and …, 2021 - ieeexplore.ieee.org
A data-driven distributed formation control algorithm is proposed for an unknown
heterogeneous non-affine nonlinear discrete-time MIMO multi-agent system (MAS) with …
heterogeneous non-affine nonlinear discrete-time MIMO multi-agent system (MAS) with …
A novel dual successive projection-based model-free adaptive control method and application to an autonomous car
In this paper, a novel model-free adaptive control (MFAC) algorithm based on a dual
successive projection (DuSP)-MFAC method is proposed, and it is analyzed using the …
successive projection (DuSP)-MFAC method is proposed, and it is analyzed using the …
Model-free adaptive control for unknown MIMO nonaffine nonlinear discrete-time systems with experimental validation
S Xiong, Z Hou - IEEE Transactions on Neural Networks and …, 2020 - ieeexplore.ieee.org
In this article, a model-free adaptive control (MFAC) algorithm based on full form dynamic
linearization (FFDL) data model is presented for a class of unknown multi-input multi-output …
linearization (FFDL) data model is presented for a class of unknown multi-input multi-output …
Data driven model free adaptive iterative learning perimeter control for large-scale urban road networks
Most perimeter control methods in literature are the model-based schemes designing the
controller based on the available accurate macroscopic fundamental diagram (MFD) …
controller based on the available accurate macroscopic fundamental diagram (MFD) …
Data-driven model-free adaptive sliding mode control for the multi degree-of-freedom robotic exoskeleton
X Wang, X Li, J Wang, X Fang, X Zhu - Information Sciences, 2016 - Elsevier
In this paper, a data-driven model-free adaptive sliding mode control (MFASMC) approach is
proposed based on a novel transformation and linearization of the robotic exoskeleton …
proposed based on a novel transformation and linearization of the robotic exoskeleton …