Results 131 to 140 of about 356,999 (268)

Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch

International Journal of Adaptive Control and Signal Processing, EarlyView.
This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane, Salama Makni, Mourad Kchaou, Ahmed El Hajjaji   +3 more
wiley   +1 more source

Piecewise Parameter Optimization of the Neo-Hookean Model for Hyperelastic Silicone Rubber with Large Deformation. [PDF]

Materials (Basel)
Fan R, Xu P, Wang Y, Shao G, Tang J.
europepmc   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga, Marco Zaffalon   +3 more
wiley   +1 more source

Process Parameter Optimization and Crack Formation Mechanism of Femtosecond Laser Welding of Fused Silica/6061 Aluminum Alloy. [PDF]

Nanomaterials (Basel)
Li D, Fu Y, Luo J, Li W, Jia X, Li K, Zhang L, Xiang Y, Wang C.   +8 more
europepmc   +1 more source

Mechanochemical Synthesis and Characterization of Nanostructured ErB4 and NdB4 Rare‐Earth Tetraborides

Advanced Engineering Materials, Volume 27, Issue 6, March 2025.
ErB4 and NdB4 nanostructured powders are produced by mechanochemical synthesis. 5 h mechanical alloying and 4 M HCl acid leaching are used in the production. ErB4 and NdB4 powders exhibit maximum magnetization of 0.4726 emu g−1 accompanied with an antiferromagnetic‐to‐paramagnetic phase transition at about TN = 18 K and 0.132 emu g−1 with a maximum at ...
Burçak Boztemur, Faruk Kaya, Bora Derin, Mustafa Lütfi Öveçoğlu, Ju Li, Duygu Ağaoğulları   +5 more
wiley   +1 more source

Feature engineering, parameter optimization, and interpretable modeling for accelerometer-based behavior recognition in aviary laying hens. [PDF]

Poult Sci
Yang X, Nie L, Niu Q, Li X, Ma J, Wang C.   +5 more
europepmc   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Parameter Optimization of Biodegradable Composite PLA-Wood with New-Generation Infill Pattern. [PDF]

Biomimetics (Basel)
Turan MK, Bakirci A, Turkkan YA, Karpat F.   +3 more
europepmc   +1 more source

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

Advanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source

Objective Biomarker Development for Parameter Optimization in Neuromodulation Using High-Density EMG Temporal and Spatial Features. [PDF]

Bioengineering (Basel)
Madarshahian S, Javadpour N, Trakhtorchuck M, Guerrero-David T, Gustafson K, Harrop JS, Matias CM, Mulcahey MJ, Napoli A, Vaccaro A, Serruya M.   +10 more
europepmc   +1 more source