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 …
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 …
Event-triggered fixed-time adaptive fuzzy control for non-triangular 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 …
Wet clutch pressure hysteresis compensation control under variable oil temperatures for electro-hydraulic actuators
A Li, D Qin, Z Guo, Y **a, C Lv - Control Engineering Practice, 2023 - Elsevier
The hysteresis characteristics and oil temperatures of wet clutch electro-hydraulic actuators
have a significant impact on clutch pressure tracking performance, thereby influencing the …
have a significant impact on clutch pressure tracking performance, thereby influencing the …
Event-triggered adaptive output constraint tracking control of uncertain mimo nonlinear systems with sensor and actuator faults
J Wang, H Pan, W Sun - IEEE Transactions on Automation …, 2023 - ieeexplore.ieee.org
This paper develops an event-triggered fault-tolerant tracking strategy for block-triangular
MIMO uncertain nonlinear systems with sensors and actuators polluting by …
MIMO uncertain nonlinear systems with sensors and actuators polluting by …
Optimal synchronization with L2-gain performance: An adaptive dynamic programming approach
Z Chen, K Chen, R Tang - Neural Networks, 2024 - Elsevier
This paper studies an optimal synchronous control protocol design for nonlinear multi-agent
systems under partially known dynamics and uncertain external disturbance. Under some …
systems under partially known dynamics and uncertain external disturbance. Under some …
A decision-making approach for complex unsignalized intersection by deep reinforcement learning
S Li, K Peng, F Hui, Z Li, C Wei… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Decision-making for automatic vehicles at unsignalized intersections with dense traffic is
one of the most challenging tasks. Due to the complex structure and frequent traffic …
one of the most challenging tasks. Due to the complex structure and frequent traffic …
Adaptive dynamic programming for robust event-driven tracking control of nonlinear systems with asymmetric input constraints
This article considers the robust dynamic event-driven tracking control problem of nonlinear
systems having mismatched disturbances and asymmetric input constraints. Initially, to …
systems having mismatched disturbances and asymmetric input constraints. Initially, to …
Nonzero-sum games using actor-critic neural networks: A dynamic event-triggered adaptive dynamic programming
H Shen, Z Li, J Wang, J Cao - Information Sciences, 2024 - Elsevier
This paper mainly investigates the nonzero-sum games of nonlinear systems with
unmatched uncertainty by using actor-critic neural networks. To handle the unmatched …
unmatched uncertainty by using actor-critic neural networks. To handle the unmatched …
Deep one-class classification model assisted by radius constraint for anomaly detection of industrial control systems
X Deng, J Li - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
Anomaly detection of industrial control systems (ICS) based on sensor data analytic is of
utmost importance because ICS may suffer from various attacks leading to anomaly …
utmost importance because ICS may suffer from various attacks leading to anomaly …