A novel iterative algorithm for natural frequency analysis of FG thin plates under interval uncertainty
Sign Up to like & getrecommendations! Published in 2019 at "Structural and Multidisciplinary Optimization"
DOI: 10.1007/s00158-019-02267-x
Abstract: High-accuracy numerical method for uncertainty propagation analysis is a crucial issue in the field of structural reliability design. In this work, a novel iterative algorithm is proposed to study the free vibration of the functionally… read more here.
Keywords: novel iterative; iterative algorithm; thin plates; frequency ... See more keywords
A Novel Iterative Learning Approach for Tracking Control of High-Speed Trains Subject to Unknown Time-Varying Delay
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Automation Science and Engineering"
DOI: 10.1109/tase.2020.3041952
Abstract: In this article, a novel iterative learning control scheme is proposed for high-speed trains, aiming to track the desired reference displacement and velocity, where the Krasovskii function is constructed to compensate for the negative influence… read more here.
Keywords: high speed; speed; speed trains; control ... See more keywords
A novel iterative process for numerical reckoning of fixed points via generalized nonlinear mappings with qualitative study
Sign Up to like & getrecommendations! Published in 2024 at "Demonstratio Mathematica"
DOI: 10.1515/dema-2023-0151
Abstract: Abstract This manuscript is devoted to constructing a novel iterative scheme and reckoning of fixed points for generalized contraction mappings in hyperbolic spaces. Also, we establish Δ \Delta and strong convergence results by the considered… read more here.
Keywords: iterative process; novel iterative; reckoning fixed; numerical reckoning ... See more keywords
Novel Iterative Reweighted ℓ1 Minimization for Sparse Recovery
Sign Up to like & getrecommendations! Published in 2025 at "Mathematics"
DOI: 10.3390/math13081219
Abstract: Data acquisition and high-dimensional signal processing often require the recovery of sparse representations of signals to minimize the resources needed for data collection. ℓp quasi-norm minimization excels in exactly reconstructing sparse signals from fewer measurements,… read more here.
Keywords: novel iterative; iterative reweighted; sparse recovery; recovery ... See more keywords