Integrated computational intelligent paradigm for nonlinear electric circuit models using neural networks, genetic algorithms and sequential quadratic programming
Sign Up to like & getrecommendations! Published in 2019 at "Neural Computing and Applications"
DOI: 10.1007/s00521-019-04573-3
Abstract: In this paper, a novel application of biologically inspired computing paradigm is presented for solving initial value problem (IVP) of electric circuits based on nonlinear RL model by exploiting the competency of accurate modeling with… read more here.
Keywords: paradigm; genetic algorithms; sequential quadratic; circuit ... See more keywords
A multiplicative regularized Gauss-Newton method with trust region Sequential Quadratic Programming for structural model updating
Sign Up to like & getrecommendations! Published in 2019 at "Mechanical Systems and Signal Processing"
DOI: 10.1016/j.ymssp.2019.05.062
Abstract: Abstract The paper focuses on the development of an iterative minimization algorithm for structural identification. The algorithm consists of a Gauss-Newton method in which the ill-conditioning caused by noise pollution is mitigated by means of… read more here.
Keywords: method; newton method; gauss newton; sequential quadratic ... See more keywords
Online motion planning based on swept volume search with replanning using sequential quadratic programming
Sign Up to like & getrecommendations! Published in 2023 at "Advanced Robotics"
DOI: 10.1080/01691864.2023.2210207
Abstract: This paper describes a method for obtaining a mobile manipulator's motion sequence by indicating a goal-hand pose. The proposed method entails recording various robot motions as a large number of motion sequences and associated swept… read more here.
Keywords: sequential quadratic; online motion; quadratic programming; motion ... See more keywords
Feasibility refinement in sequential quadratic programming using parametric sensitivity analysis
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DOI: 10.1080/10556788.2016.1200045
Abstract: In this paper we present results that extend the sequential quadratic programming (SQP) algorithm with an additional feasibility refinement based on parametric sensitivity derivatives. The refinement is applicable without restriction on the problem dimensions in… read more here.
Keywords: analysis; parametric sensitivity; sensitivity; sequential quadratic ... See more keywords
A Fast Algorithm for Maximum Likelihood Estimation of Mixture Proportions Using Sequential Quadratic Programming
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Computational and Graphical Statistics"
DOI: 10.1080/10618600.2019.1689985
Abstract: Abstract Maximum likelihood estimation of mixture proportions has a long history, and continues to play an important role in modern statistics, including in development of nonparametric empirical Bayes methods. Maximum likelihood of mixture proportions has… read more here.
Keywords: likelihood estimation; maximum likelihood; estimation mixture; sequential quadratic ... See more keywords