Bearing anomaly recognition using an intelligent digital twin integrated with machine learning

F Piltan, JM Kim - Applied Sciences, 2021 - mdpi.com
Featured Application Bearing anomaly recognition using an intelligent digital twin integrated
with machine learning. Abstract In this study, the application of an intelligent digital twin …

Observer design for Takagi–Sugeno fuzzy systems with unmeasured premise variables: Conservatism reduction using line integral Lyapunov function

K Mimoune, MY Hammoudi, W Hamdi, SM Mimoune - ISA transactions, 2023 - Elsevier
In this paper, a non-quadratic Lyapunov function is employed to reduce conservatism in a
nonlinear observer designed for a class of continuous-time Takagi–Sugeno fuzzy systems …

Adaptive fuzzy observer based non-quadratic control for nonlinear system subject to actuator faults and saturation

A Kennouche, D Saifia, M Chadli, S Labiod - Journal of the Franklin …, 2023 - Elsevier
This paper provides a new non-quadratic stabilization conditions based on adaptive fuzzy
observer for a class of Takagi-Sugeno (TS) fuzzy systems subject to external disturbances …

Prescribed Performance Fault-Tolerant Attitude Tracking Control for UAV with Actuator Faults

Q Wu, Q Zhu - Drones, 2024 - mdpi.com
This paper proposes a prescribed performance fault-tolerant control based on a fixed-time
extended state observer (FXTESO) for a carrier-based unmanned aerial vehicle (UAV). First …

Joint state and actuator fault estimation for networked systems under improved accumulation-based event-triggered mechanism

J Guo, H Liu, J Hu, B Song - ISA transactions, 2022 - Elsevier
The joint state and actuator fault estimation problem is investigated in this paper for a type of
networked systems subject to loss of the actuator effectiveness (LAE). A so-called improved …

A machine-learning approach to synthesize virtual sensors for parameter-varying systems

D Masti, D Bernardini, A Bemporad - European Journal of Control, 2021 - Elsevier
This paper introduces a novel model-free approach to synthesize virtual sensors for the
estimation of dynamical quantities that are unmeasurable at runtime but are available for …

A multiblock kernel dynamic latent variable model for large-scale industrial process monitoring

C Li, G Li, X Chen, P Zhou, X He - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
For industrial processes, the multivariate statistical process monitoring (MSPM) technique is
an effective way to perform data-driven process modeling and fault detection. Compared to …

Robust fault estimators for nonlinear systems: An ultra-local model design

F Ghanipoor, C Murguia, PM Esfahani… - arXiv preprint arXiv …, 2023 - arxiv.org
This paper proposes a nonlinear estimator for the robust reconstruction of process and
sensor faults for a class of uncertain nonlinear systems. The proposed fault estimation …

Proportional multi-integral observer design for Takagi–Sugeno systems with unmeasurable premise variables: Conservatism reduction via polyquadratic Lyapunov …

W HAMDI, MY HAMMOUDI, M HAMIANE - European Journal of Control, 2024 - Elsevier
In this paper, we present the design of a new unknown-input observer for Takagi–Sugeno
fuzzy systems with unmeasurable premise variables. The work proposes an improvement of …

LPV lateral control for ADAS based on driver performance monitoring

A Medero, O Sename, V Puig - IFAC-PapersOnLine, 2022 - Elsevier
This paper presents a lateral control Advanced Driver Assistance System for cars, which
uses both steering control and differential braking commands to aid drivers and enhance …