[HTML][HTML] A Review of State-of-the-Art Multiphase and Hybrid Electric Machines

M Gholamian, O Beik, M Arshad - Electronics, 2024 - mdpi.com
In the realm of electric machines, there has been an increasing interest in multiphase
(greater than three-phase) and hybrid excited machines. The benefits of multiphase …

Deep reinforcement learning sensor scheduling for effective monitoring of dynamical systems

M Alali, A Kazeminajafabadi, M Imani - Systems Science & Control …, 2024 - Taylor & Francis
Advances in technology have enabled the use of sensors with varied modalities to monitor
different parts of systems, each providing diverse levels of information about the underlying …

[HTML][HTML] Observer-based adaptive neural control of quadrotor unmanned aerial vehicles subject to model uncertainties and external disturbances

R Mousavi, A Mousavi, Y Mousavi, M Tavasoli, A Arab… - Actuators, 2024 - mdpi.com
Quadrotor unmanned aerial vehicles (QUAVs) are widely recognized for their versatility and
advantages across diverse applications. However, their inherent instability and …

Rbfnn-based global fast terminal sliding mode control for fully controlled doubly fed induction generator

Y Li, W Sun, D Yu - Journal of the Franklin Institute, 2024 - Elsevier
In this paper, a global fast terminal sliding mode control (GFTSMC) with radial basis function
neural network (RBFNN) is proposed for fully controlled doubly fed induction generator (FC …

Performance enhancement of PMSG-based WECS using robust adaptive fuzzy sliding mode control

AA Yesudhas, K Palanimuthu, SR Lee… - Control Engineering …, 2025 - Elsevier
This study aims to propose an adaptive fuzzy sliding mode control (AFSMC) method to
address the critical issue of enhancing the power extraction of a large-scale permanent …

Observer-based fractional-order dynamic terminal sliding mode control of active shock absorbing prostheses for lower limb amputees

S Memarzade, MH Zarif, A Alfi - ISA Transactions, 2025 - Elsevier
Recent biomedical engineering developments have empowered prosthetic devices to
evolve from purely mechanical devices to more sophisticated controlled devices, allowing …

Highly fault-tolerant thrust estimation for gas turbine engines via feature-level dissimilarity design

H Zhao, X Lin, Z Liao, M Xu, Y Yao, B Duan, Z Song - Measurement, 2025 - Elsevier
Thrust is a critical yet unmeasurable performance parameter of gas turbine engines during
flight. Existing thrust estimation methods lack fault tolerance to single-sensor drift failures …

Nonlinear robust sliding mode-Backstepping hybrid control for WECS-theoretical design and experimental evaluation

F Echiheb, I Elkafazi, B Bossoufi, MM Almalki… - Heliyon, 2024 - cell.com
This paper proposes a new contribution in the field of optimizing control techniques for wind
systems to enhance the quality of the energy produced in the grid. Although the Sliding …

Imbalanced classification in faulty turbine data: New proximal policy optimisation

MH Modirrousta… - IET Collaborative …, 2024 - Wiley Online Library
In industrial and real‐world systems, recognising errors and adopting the best approaches
are gaining relevance. The authors' goal is to identify artificial intelligence apps that provide …

Artificial Neural Networks-Based Fault Localization in Distributed Generation Integrated Networks Considering Fault Impedance

A Mousavi, R Mousavi, Y Mousavi, M Tavasoli… - IEEE …, 2024 - ieeexplore.ieee.org
This paper proposes a fault location and protection method for power distribution system
with Distributed generation (DG) resources, considering fault impedance. A multi-layer …