Robust Variable Structure Control Approach of Two Series-Connected Five-Phase PMSMs Under Healthy and Faulty Operation Modes حسب Ali Ajmi (17983771)

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Thyristor controlled phase shifter based stabilizer design usingsimulated annealing algorithm حسب Abido, M.A.

"…This paper presents a thyristor controlled phase shifter (TCPS) based stabilizer design using the simulated annealing (SA) algorithm. …"
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An exact algorithm for connected red–blue dominating set حسب Abu-Khzam, Faisal N.

"…In this paper we present a first non-trivial exact algorithm whose running time is in O⁎(n1.3645). We use our algorithm to solve the Connected Dominating Set problem in O⁎(n1.8619). …"
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Stability improvement of the PSS-connected power system network with ensemble machine learning tool حسب M.S. Shahriar (19517536)

"…The ensemble method combines multiple machine learning techniques and has been used for tuning the PSS parameters in real-time for two PSS-connected power system networks. The first system is a single-machine infinite bus power system, while the second is a unified power flow controller (UPFC) device. …"

Data Redundancy Management in Connected Environments حسب Mansour, Elio

"…Connected environments are typically defined as physical infrastructures (e.g., building) equipped with sensors that produce and exchange raw data. …"
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Semantic based navigation and lane keeping حسب Abdeen, Abdallah Adel

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Adaptive Fault-Tolerant Communication Based-Control for Parallel Connected Rectifiers حسب Ali Sharida (17947847)

"…<p dir="ltr">This article proposes an adaptive and fault-tolerant communication method for controlling parallel-connected active front-end rectifiers (AFRs). …"

An enhanced consensus-based distributed secondary control for voltage regulation and proper current sharing in a DC islanded microgrid حسب Nada Mosaad (21633245)

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Fault detection and classification in hybrid energy-based multi-area grid-connected microgrid clusters using discrete wavelet transform with deep neural networks حسب S. N. V. Bramareswara Rao (21768302)

"…<p dir="ltr">Microgrid control and operation depend on fault detection and classification because it allows quick fault separation and recovery. …"

Social spider optimization algorithm: survey and new applications حسب Abualigah, Laith

"…This survey studied the SSO and compared it with other PSO algorithms to find the best-performing algorithm based on a benchmark. …"
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Control Algorithms for Distributed Networked Industrial Systems حسب unknown

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Nonlinear predictive control using genetic algorithms حسب Naeem, Wasif

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Genetic algorithms applications in load frequency control حسب Abdel-Magid, Y.L.

"…This paper deals with the application of genetic algorithms for optimizing the parameters of conventional automatic generation control (AGC) systems. …"
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A discrete-time learning control algorithm حسب Saab, Samer S.

"…A discretized version of the D-type learning control algorithm is presented for a MIMO linear discrete-time system. …"
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A High‐Performance MPPT Solution for Solar DC Microgrids: Leveraging the Hippopotamus Algorithm for Greater Efficiency and Stability حسب Debabrata Mazumdar (18560506)

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Metaheuristic Optimization‐Based Sliding Mode Control With Modified Perturb and Observe for Controlling MPPT of a PV Interfaced Grid Connected System حسب Anupama Ganguly (22502969)

"…Also, this article introduces the meta‐heuristic algorithm mountain gazelle optimization (MGO), which is incorporated to optimize the parameters of the sliding mode controller (SMC) to ensure the solar PV (SPV) MPP extraction. …"

Genetic-Algorithm-Based Neural Network for Fault Detection and Diagnosis: Application to Grid-Connected Photovoltaic Systems حسب Amal Hichri (21383672)

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Control of nonlinear dynamical systems using genetic algorithms حسب Al-Duwaish, H.N.

"…This paper introduces a new method for the control of nonlinear systems using genetic algorithms. …"
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Intelligent Adaptive Control Algorithms For Distributed Generation Systems حسب unknown

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Learning control algorithms for tracking "slowly" varying trajectories حسب Saab, Samer S.

"…To date, most of the available results in learning control have been utilized in applications where a robot is required to execute the same motion over and over again, with a certain periodicity. …"
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