Results 31 to 40 of about 362 (183)

Sliding Mode Control in Aerospace Applications: A Survey

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT Sliding mode control (SMC) enjoys robustness to matched and unmatched (in the case of minimum phase input‐output dynamics) bounded perturbations, and finite time convergence. Second‐order and higher‐order sliding mode control systems (2‐SMC/HOSMC) retain all the advantages of sliding mode control, but in addition can be applied to systems of ...
Yuri Shtessel, Christopher Edwards
wiley   +1 more source

Deep Reinforcement Learning‐Based Control for Real‐Time Hybrid Simulation of Civil Structures

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT Real‐time Hybrid Simulation (RTHS) is a cyber‐physical technique that studies the dynamic behavior of a system by combining physical and numerical components that are coupled through a boundary condition enforcer. In structural engineering, the numerical components are subjected to environmental loads that become dynamic displacements of the ...
Andrés Felipe Niño, Alejandro Palacio‐Betancur, Piedad Miranda‐Chiquito, Juan David Amaya, Christian E. Silva, Mariantonieta Gutierrez Soto, Luis Felipe Giraldo   +6 more
wiley   +1 more source

Resource reallocation across successive systemic innovations: How Rolls‐Royce shaped the evolution of the turbojet, turboprop, and turbofan

Strategic Management Journal, EarlyView.
Abstract Research Summary Despite the importance of resource reallocation in shaping a variety of strategic outcomes, strategy scholars have paid only limited attention to the processes by which firms reallocate their resources across successive systemic innovations.
Gino Cattani, Mariano Mastrogiorgio, Giuseppe Carignani   +2 more
wiley   +1 more source

A hidden Markov model and reinforcement learning‐based strategy for fault‐tolerant control

The Canadian Journal of Chemical Engineering, Volume 104, Issue 8, Page 4322-4336, August 2026.
Abstract This study introduces a data‐driven control strategy integrating hidden Markov models (HMM) and reinforcement learning (RL) to achieve resilient, fault‐tolerant operation against persistent disturbances in nonlinear chemical processes. Called hidden Markov model and reinforcement learning (HMMRL), this strategy is evaluated in two case studies
Tamera Leitao, Debaprasad Dutta, Simant R. Upreti   +2 more
wiley   +1 more source

Analysis of temperature distribution in the annular mixing chamber of a gas turbine engine

Авіаційно-космічна техніка та технологія
The object of this research was the mixing chamber of a turbofan engine. The subject of this study was the thermogasdynamic processes in the mixing chamber of the turbojet engine before the turbine of the turbofan stage.
Illia Yudin
doaj   +1 more source

RUL Prediction of Rolling Bearings via Adaptive Multi‐Scale Feature Alignment and Semantic Fusion

Engineering Reports, Volume 8, Issue 6, June 2026.
An adaptive multi‐scale framework integrates denoising, feature fusion, and degradation‐stage‐driven alignment to suppress noise, capture local–global degradation patterns, and enable robust and accurate remaining useful life prediction. ABSTRACT Remaining useful life (RUL) prediction of rolling bearings is essential for intelligent maintenance and ...
Yuanyuan Wu, Ning Li
wiley   +1 more source

Degradation Prediction of Proton‐Exchange Membrane Fuel Cell Tested Under Static and Quasi‐Dynamic Operating Conditions

Fuel Cells, Volume 26, Issue 3, June 2026.
ABSTRACT The viability and extended lifetime of proton‐exchange membrane (PEM) fuel cells are essential to enable hydrogen electric aviation. Their reliability, that is, the ability to maintain stable performance over long operational periods under varying environmental and load conditions, is a critical factor for their adoption in aviation systems ...
Matthew Georgio Dekkers, Marcia L. Baptista, Helmut Prendinger   +2 more
wiley   +1 more source

Modelling of a turbojet gas turbine engine [PDF]

2015 Internet Technologies and Applications (ITA), 2015
Gas turbines are one of the most important internal combustion engines in the modern world's transportation. Any possible improvements of the performance of the gas turbine engines would help to minimize the world's annual fossil fuel consumption and hence the emissions of the adverse greenhouse gases.
Klein, D., Abeykoon, C.; id_orcid 0000-0002-6797-776X   +1 more
openaire   +2 more sources

Advances in Atmospheric Water Harvesting Hydrogels: A Review of Material Design, System Integration, and Practical Applications

Small Structures, Volume 7, Issue 6, June 2026.
This review presents a multiscale optimization framework for hydrogel‐based sorbent atmospheric water harvesting (SAWH), integrating material chemistry, structural engineering, and device‐level strategies. It details how synergy between absorption, desorption, and thermal management leads to efficient, sustainable atmospheric water harvesting and ...
Ting‐Ting Li, Pengle Cao, Wangkai Jiang, Ke‐Qin Zhang   +3 more
wiley   +1 more source

Investigating Breathing Dynamics of a 110 kV Oil‐Immersed Transformer Using Thermal‐Fluid‐Structure Interaction Modelling

High Voltage, Volume 11, Issue 3, Page 668-680, June 2026.
ABSTRACT The breathing system of an oil‐immersed transformer is of vital importance for maintaining equilibrium between internal and external pressures, with any malfunction potentially disrupting the transformer's stable operation. This study develops a thermal–fluid–structure interaction (TFSI) model to simulate the breathing phenomenon in a 110 kV ...
Lujia Wang, Guangyi Chen, Dong Shang, Xiang Zhang, Haitao Yang, Jianwen Zhang   +5 more
wiley   +1 more source