A novel networked predictive control method for systems with random communication constraints
This paper presents a novel observer-based predictive control method for networked
systems where random network-induced delays, packet disorders and packet dropouts in …
systems where random network-induced delays, packet disorders and packet dropouts in …
Overview of interface algorithms, interface signals, communication and delay in real-time co-simulation of distributed power systems
In recent years, there has been growing research interest in the virtual integration of
hardware and software assets across different geographical locations. However, achieving …
hardware and software assets across different geographical locations. However, achieving …
Observer-based sampled-data model-free adaptive control for continuous-time nonlinear nonaffine systems with input rate constraints
A sampled-data model-free adaptive control (SMFAC) strategy is proposed for continuous-
time nonlinear nonaffine systems with input rate constraints. By using differential and …
time nonlinear nonaffine systems with input rate constraints. By using differential and …
Optimal design of parameters for the nanofluid/ultrasonic atomization minimal quantity lubrication in a micromilling process
WT Huang, FI Chou, JT Tsai, TW Lin… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Nanofluid/ultrasonic atomization minimal quantity lubrication (MQL) was used in an SKD11
steel micromilling process with ultrasonic dispersion. The nanofluid atomizer substantially …
steel micromilling process with ultrasonic dispersion. The nanofluid atomizer substantially …
Composite data driven-based adaptive control for a piezoelectric linear motor
Y Wang, M Zhou, D Hou, W Cao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Piezoelectric linear motors play an important role in ultraprecision manufacturing
technology. However, the complex nonlinear relationship between the input and output of …
technology. However, the complex nonlinear relationship between the input and output of …
[HTML][HTML] Predicting the wafer material removal rate for semiconductor chemical mechanical polishing using a fusion network
Predicting the wafer material removal rate (MRR) is an important step in semiconductor
manufacturing for total quality control. This work proposes a deep learning model called a …
manufacturing for total quality control. This work proposes a deep learning model called a …
Modified-transformation-based networked controller for offshore platforms under multiple outloads
H Ma, GY Tang, XQ Ding - Ocean Engineering, 2019 - Elsevier
In the paper, we study the problem of vibration control for offshore platform in nonideal
network environment under wave and current forces based on the modified transformation …
network environment under wave and current forces based on the modified transformation …
Model‐free adaptive tracking control for networked nonlinear systems with data dropout
Y Wang, Z Wang - … Journal of Robust and Nonlinear Control, 2022 - Wiley Online Library
The data‐driven tracking control problem is investigated for networked nonlinear systems
subjected to data dropout. The desired time‐varying output trajectory is considered in this …
subjected to data dropout. The desired time‐varying output trajectory is considered in this …
A New Model-Free Method for MIMO Systems and Discussion on Model-Free or Model-Based
F Zhang - arXiv preprint arXiv:2007.02761, 2020 - arxiv.org
Current model-free adaptive control (MFAC) can hardly deal with the time delay problem in
multiple-input multiple-output (MIMO) systems. To solve this problem, a novel model-free …
multiple-input multiple-output (MIMO) systems. To solve this problem, a novel model-free …
Event-triggered model-free adaptive predictive control for nonlinear NCSs with data dropout and application in PMSM control system
Y Wang, Z Hou - 2022 IEEE 11th Data Driven Control and …, 2022 - ieeexplore.ieee.org
For a class of nonlinear networked control systems (NCSs) subject to data dropouts, this
paper studies the problem of the event-triggered model-free adaptive predictive control (ET …
paper studies the problem of the event-triggered model-free adaptive predictive control (ET …