A study on nonlinear model predictive control for helicopter/turboshaft engine with variable rotor speed based on piecewise objective function
Sign Up to like & getrecommendations! Published in 2020 at "Asian Journal of Control"
DOI: 10.1002/asjc.2448
Abstract: In order to obtain the high‐quality fast response control for helicopter/turboshaft engine with variable rotor speed, a nonlinear model predictive control (NMPC) method based on piecewise objective function is proposed. The piecewise objective function takes… read more here.
Keywords: objective function; speed; variable rotor; rotor speed ... See more keywords
Micro-seismic source location determined by a modified objective function
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DOI: 10.1007/s00366-019-00800-6
Abstract: The exact localization of micro-seismic sources is of significant importance in micro-seismic monitoring technology. The methods determining arrival time and time difference of micro-seismic source locations in engineering are introduced. The factors affecting the accuracy… read more here.
Keywords: objective function; source; micro seismic; source location ... See more keywords
A systematic approach for finding the objective function and active constraints for dynamic flux balance analysis
Sign Up to like & getrecommendations! Published in 2018 at "Bioprocess and Biosystems Engineering"
DOI: 10.1007/s00449-018-1899-y
Abstract: Dynamic flux balance analysis (DFBA) has become an instrumental modeling tool for describing the dynamic behavior of bioprocesses. DFBA involves the maximization of a biologically meaningful objective subject to kinetic constraints on the rate of… read more here.
Keywords: flux balance; objective function; balance analysis; approach finding ... See more keywords
Solutions of the Combinatorial Problem with a Quadratic Fractional Objective Function on the Set of Permutations
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DOI: 10.1007/s10559-020-00261-6
Abstract: The statement of the problem with quadratic fractional objective function on the set of permutations is considered. An algorithm for its solution is presented, which converts the quadratic fractional function into a system of two… read more here.
Keywords: objective function; quadratic fractional; fractional objective; problem ... See more keywords
Two Polynomial Time Graph Labeling Algorithms Optimizing Max-Norm-Based Objective Functions
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Mathematical Imaging and Vision"
DOI: 10.1007/s10851-020-00963-8
Abstract: Many problems in applied computer science can be expressed in a graph setting and solved by finding an appropriate vertex labeling of the associated graph. It is also common to identify the term “appropriate labeling”… read more here.
Keywords: max norm; objective function; time; graph ... See more keywords
A new hybrid conjugate gradient method for large-scale unconstrained optimization problem with non-convex objective function
Sign Up to like & getrecommendations! Published in 2019 at "Computational and Applied Mathematics"
DOI: 10.1007/s40314-019-0973-7
Abstract: The paper is aimed to employ a modified secant equation in the framework of the hybrid conjugate gradient method based on Andrei’s approach to solve large-scale unconstrained optimization problems. The CG parameter in the mentioned… read more here.
Keywords: objective function; method; hybrid conjugate; conjugate gradient ... See more keywords
Reliable applied objective for identifying simple and detailed photovoltaic models using modern metaheuristics: Comparative study
Sign Up to like & getrecommendations! Published in 2020 at "Energy Conversion and Management"
DOI: 10.1016/j.enconman.2020.113279
Abstract: Abstract The first issue in the optimal photovoltaic system design is providing an accurate PV model that emulates the system behaviour under several environmental conditions. The accuracy of the photovoltaic model stands on its identified… read more here.
Keywords: reliable applied; objective function; objective identifying; applied objective ... See more keywords
Nuclear magnetic resonance T1-T2 inversion with double objective functions.
Sign Up to like & getrecommendations! Published in 2019 at "Journal of magnetic resonance"
DOI: 10.1016/j.jmr.2019.07.049
Abstract: We report an effective and robust method for nuclear magnetic resonance (NMR) longitudinal relaxation time-transverse relaxation time (T1-T2) inversion with double objective functions. First, we develop the first objective function based on L1 regularization, proposed… read more here.
Keywords: objective function; magnetic resonance; inversion; method ... See more keywords
A novel inversion method of 2D TD-NMR signals based on realizing unconstrained maximization of objective function.
Sign Up to like & getrecommendations! Published in 2022 at "Journal of magnetic resonance"
DOI: 10.1016/j.jmr.2022.107168
Abstract: The inversion of time-domain nuclear magnetic resonance (TD-NMR) signals is an ill-posed problem, which presents enormous challenges for the inversion algorithm. We propose a novel inversion method that converts conventional minimum objective function with non-negative… read more here.
Keywords: objective function; nmr signals; method; inversion method ... See more keywords
Optimality conditions and duality results for nonsmooth vector optimization problems with the multiple interval-valued objective function
Sign Up to like & getrecommendations! Published in 2017 at "Acta Mathematica Scientia"
DOI: 10.1016/s0252-9602(17)30062-0
Abstract: Abstract In this paper, both Fritz John and Karush-Kuhn-Tucker necessary optimality conditions are established for a (weakly) LU-efficient solution in the considered nonsmooth multiobjective programming problem with the multiple interval-objective function. Further, the sufficient optimality… read more here.
Keywords: optimality conditions; multiple interval; duality results; objective function ... See more keywords
Global convergence of a derivative-free inexact restoration filter algorithm for nonlinear programming
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DOI: 10.1080/02331934.2016.1263629
Abstract: Abstract In this work, we present an algorithm for solving constrained optimization problems that does not make explicit use of the objective function derivatives. The algorithm mixes an inexact restoration framework with filter techniques, where… read more here.
Keywords: inexact restoration; derivative free; objective function; filter ... See more keywords