Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Neural network-based adaptive critic control for saturated nonlinear systems with full state constraints via a novel event-triggered mechanism
This paper investigates the issue of event-triggered optimal control for saturated nonlinear
systems with full state constraints. A smooth function is defined to map the constrained …
systems with full state constraints. A smooth function is defined to map the constrained …
Adaptive critic design with weight allocation for intelligent learning control of wastewater treatment plants
D Wang, H Ma, J Ren, N Gao, J Qiao - Engineering Applications of Artificial …, 2024 - Elsevier
With the deepening of modernization and industrialization, the issues of water pollution and
scarcity have become more pressing. To address these issues, many wastewater treatment …
scarcity have become more pressing. To address these issues, many wastewater treatment …
Leveraging computer vision towards high-efficiency autonomous industrial facilities
Manufacturers face two opposing challenges: the escalating demand for customized
products and the pressure to reduce delivery lead times. To address these expectations …
products and the pressure to reduce delivery lead times. To address these expectations …
Finite-time guarantee-cost H∞ consensus control of second-order multi-agent systems based on sampled-data event-triggered mechanisms
Y Yao, Y Luo, J Cao - Neural Networks, 2024 - Elsevier
This study presents a solution to the challenges of tracking consensus and guarantee-cost
H∞ control in a specific set of second-order multi-agent systems with external disturbances …
H∞ control in a specific set of second-order multi-agent systems with external disturbances …
Multilayer adaptive critic design with digital twin for data-driven optimal tracking control and industrial applications
D Wang, H Ma, J Qiao - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
In this paper, an optimal trajectory tracking control problem for general nonlinear systems is
investigated. An adaptive critic control method with the digital twin (DT) theory is developed …
investigated. An adaptive critic control method with the digital twin (DT) theory is developed …
Robust actuator fault detection for quadrotor UAV with guaranteed sensitivity
This paper proposes an actuator fault detection method for quadrotor UAV, in which
sensitivity to fault and robustness to disturbance are simultaneously guaranteed. First, a …
sensitivity to fault and robustness to disturbance are simultaneously guaranteed. First, a …
Fusion of theory and data-driven model in hot plate rolling: A case study of rolling force prediction
Z Dong, X Li, F Luan, L Meng, J Ding… - Expert Systems with …, 2024 - Elsevier
As one of the most critical variables in the hot rolling process, the accuracy of rolling force
prediction is directly associated with production stability and product quality. Purely data …
prediction is directly associated with production stability and product quality. Purely data …
Event-Triggered Fixed-Time Adaptive Fuzzy Control for Nontriangular Nonlinear Systems With Unknown Control Directions
G Cui, H Xu, J Yu, Q Ma, M Jian - IEEE Transactions on Artificial …, 2023 - ieeexplore.ieee.org
This article focuses on the problem of fixed-time adaptive fuzzy control for a class of
nontriangular nonlinear systems with unknown control directions under the event-triggered …
nontriangular nonlinear systems with unknown control directions under the event-triggered …
Optimal tracking control for unknown nonlinear systems with uncertain input saturation: A dynamic event-triggered ADP algorithm
L Chen, F Hao - Neurocomputing, 2024 - Elsevier
This paper is devoted to proposing a novel dynamic event-triggered adaptive dynamic
programming (ADP) algorithm to tackle the tracking control problem of unknown nonlinear …
programming (ADP) algorithm to tackle the tracking control problem of unknown nonlinear …
A multi-task learning model for recommendation based on fusion of dynamic and static neighbors
B Huang, S Zheng, H Fujita, J Liu - Engineering Applications of Artificial …, 2024 - Elsevier
To improve recommendation performance, this study introduces self-supervised learning
into recommendation systems and proposes a multi-task learning recommendation …
into recommendation systems and proposes a multi-task learning recommendation …