Results 11 to 20 of about 9,508 (218)

Learning-Aided Optimal Power Flow Based Fast Total Transfer Capability Calculation

open access: yesEnergies, 2022
Total transfer capability (TTC) is a vital security indicator for power exchange among areas. It characterizes time-variants and transient stability dynamics, and thus is challenging to evaluate efficiently, which can jeopardize operational safety.
Ji’ang Liu   +3 more
doaj   +1 more source

Inverse methods and integral-differential model demonstration for optimal mechanical operation of power plants – numerical graphical optimization for second generation of tribology models

open access: yesElectrical, Control and Communication Engineering, 2018
Stepping forward from a previous conference contribution, the article focuses on extension of inverse problem algorithms to integral-differential modelling and formal/strict demonstration of graphical-optimization method.
Casesnoves Francisco
doaj   +1 more source

Learning to steer nonlinear interior-point methods

open access: yesEURO Journal on Computational Optimization, 2019
Interior-point or barrier methods handle nonlinear programs by sequentially solving barrier subprograms with a decreasing sequence of barrier parameters.
Renke Kuhlmann
doaj   +1 more source

Vectorized MATLAB Implementation of the Incremental Minimization Principle for Rate-Independent Dissipative Solids Using FEM: A Constitutive Model of Shape Memory Alloys

open access: yesMathematics, 2022
The incremental energy minimization principle provides a compact variational formulation for evolutionary boundary problems based on constitutive models of rate-independent dissipative solids.
Miroslav Frost, Jan Valdman
doaj   +1 more source

A Novel Reduced-Order Analytical Fault Diagnosis Model for Power Grid

open access: yesIEEE Access
Power grid fault diagnosis methods based on analytical models possess advantages such as logical rigor, strong interpretability, and high applicability.
Zhuonan Lin   +3 more
doaj   +1 more source

APPROXIMATE OPTIMAL CONTROL OF LINEAR TIME-DELAY SYSTEMS VIA HAAR WAVELETS [PDF]

open access: yesJournal of Engineering Science and Technology, 2016
In this paper, Haar wavelet benefits are applied to the optimal control of linear time-delay systems. A discretized form of optimal control problem at collocation points based on some useful properties of Haar wavelets transforms original problem into a ...
AKBAR H. BORZABADI, SOLAYMAN ASADI
doaj  

Efficiency of Ridders’ method in solving nonlinear equations using Scilab programming

open access: yesData Analytics and Applied Mathematics
The study aims to compare the efficiency of numerical methods such as Bisection, Secant, Newton-Raphson, Ridders and Halley’s methods in solving nonlinear scalar equations.
Annie Gorgey   +3 more
doaj   +1 more source

Feedback Control Method Using Haar Wavelet Operational Matrices for Solving Optimal Control Problems

open access: yesAbstract and Applied Analysis, 2013
Most of the direct methods solve optimal control problems with nonlinear programming solver. In this paper we propose a novel feedback control method for solving for solving affine control system, with quadratic cost functional, which makes use of only ...
Waleeda Swaidan, Amran Hussin
doaj   +1 more source

Nonlinear Model Predictive Control for Mobile Robot Using Varying-Parameter Convergent Differential Neural Network

open access: yesRobotics, 2019
The mobile robot kinematic model is a nonlinear affine system, which is constrained by velocity and acceleration limits. Therefore, the traditional control methods may not solve the tracking problem because of the physical constraint.
Yingbai Hu   +5 more
doaj   +1 more source

Research on scheduling and optimization under uncertain conditions in panel block production line in shipbuilding

open access: yesInternational Journal of Naval Architecture and Ocean Engineering, 2016
Based on non-completely hybrid flow line scheduling of panel block in shipbuilding, several uncertain factors influencing the problem were analyzed in a real environment, and a nonlinear integer programming model was built for each sub-scheduling problem.
Chong Wang   +3 more
doaj   +1 more source

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