A novel method of neural network model predictive control integrated process monitoring and applications to hot rolling process
Q Xu, J Dong, K Peng, X Yang - Expert Systems With Applications, 2024 - Elsevier
The stable control of product quality when abnormal working conditions occur in the
industrial production process is essential to improve product quality and economic …
industrial production process is essential to improve product quality and economic …
Fault detection and isolation for linear parameter-varying systems with time-delays: A geometric approach
Fault detection and isolation (FDI) problems for linear parameter-varying (LPV) systems with
state time-delays are studied in this paper. By defining the concept of unobservability …
state time-delays are studied in this paper. By defining the concept of unobservability …
Active fault diagnosis under hybrid bounded and Gaussian uncertainties
In this paper, an active fault diagnosis method is proposed to diagnose faults of linear time-
invariant systems under the effect of hybrid bounded and Gaussian uncertainties, which can …
invariant systems under the effect of hybrid bounded and Gaussian uncertainties, which can …
Distributed quality-related process monitoring framework using parallel DVIB-VAE-mRMR for large-scale processes
C Zhang, J Dong, H Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Process monitoring is crucial for guaranteeing product quality and process safety in large-
scale processes. The large-scale processes typically consist of different subprocesses or …
scale processes. The large-scale processes typically consist of different subprocesses or …
A new output integral sliding mode fault-tolerant control and fault estimation scheme for uncertain systems
This paper describes a new fault-tolerant control technique for over-actuated uncertain
linear systems that compensates for actuator faults and failures using an output integral …
linear systems that compensates for actuator faults and failures using an output integral …
Exclusion tendency-based observer design framework for active fault diagnosis
This paper proposes a new closed-loop observer-based active fault diagnosis (AFD)
framework using a bank of set-valued observers (SVOs). Each SVO is designed for one …
framework using a bank of set-valued observers (SVOs). Each SVO is designed for one …
Active fault diagnosis for uncertain LPV systems: A zonotopic set-membership approach
Active fault diagnosis (AFD) techniques can improve fault diagnosis performance by
designing a set of appropriate auxiliary inputs and injecting them into the system to stimulate …
designing a set of appropriate auxiliary inputs and injecting them into the system to stimulate …
Robust fault diagnosis for uncertain linear systems: A set-based geometric approach
This article investigates the robust fault diagnosis problem for uncertain linear systems,
where the system uncertainties are represented by interval matrices and there exist …
where the system uncertainties are represented by interval matrices and there exist …
Four-Wheel Independent Drive Vehicle Fault Tolerant Strategy Using Stochastic Model Predictive Control With Model Parameter Uncertainties
With the popularity and increasing demand of new energy automotive, four-wheel
independent drive electric vehicles (4WID-EVs) and its distributed control mode is promising …
independent drive electric vehicles (4WID-EVs) and its distributed control mode is promising …
Adaptive predefined‐time tracking control for high‐order strict‐feedback nonlinear systems with unknown mismatched disturbances
The problem of practical predefined‐time tracking control is con sidered for high‐order strict‐
feedback nonlinear systems subject to unknown mismatched disturbances. The exact bound …
feedback nonlinear systems subject to unknown mismatched disturbances. The exact bound …