Results 61 to 70 of about 10,517,802 (309)
Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch
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 +3 more
wiley +1 more source
dynoGP: Deep Gaussian Processes for Dynamic System Identification
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 +3 more
wiley +1 more source
A numerical–experimental framework is developed for characterizing multi‐matrix fiber‐reinforced polymers (MM‐FRPs) combining epoxy and polyurethane matrices. Harmonic bending tests are integrated with finite element model updating (FEMU) to simultaneously identify elastic and viscoelastic material parameters.
Rodrigo M. Dartora +4 more
wiley +1 more source
Multi-objective optimization design and reliability analysis of idler with hollow step-shaft
Idlers, one of the important parts of belt conveyors, are substantial and constitute approximately one-third of the equipment cost. Therefore, idlers in conveyor systems must be optimized.
Jinhu SU, Wenjun MENG, Xiaoxia ZHAO
doaj +1 more source
Infrastructure comprises the most fundamental facilities and systems serving society. Because infrastructure exists in economic, social, and environmental contexts, all lifecycle phases of such facilities should maximize utility for society, occupants ...
Y. Shahtaheri +2 more
semanticscholar +1 more source
Multi-objective worst case optimization by means of evolutionary algorithms [PDF]
Many real-world optimization problems are subject to uncertainty. A possible goal is then to find a solution which is robust in the sense that it has the best worst-case performance over all possible scenarios.
Avigad, Gideon +2 more
core
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed +6 more
wiley +1 more source
The paper contains a literature review to obtain an optimization method that potentially can be used to optimize power plant expansion of Jawa-Madura-Bali (Jamali) power system in 2015-2050.
Rizki Firmansyah Setya Budi +2 more
doaj +1 more source
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch +3 more
wiley +1 more source
ADVANCES IN RELIABILITY OPTIMIZATION OF MULTI-STATE SYSTEM
Multi-state system reliability is very important for complex systems which have a range of performance levels from perfect functioning to complete failure.
LI ChunYang, CHEN ShouHua, LI LingWei
doaj

