Search Results - (( a distribution using algorithm ) OR ( parameters variation ((a algorithm) OR (new algorithm)) ))
Search alternatives:
- parameters variation »
- using algorithm »
- a distribution »
- new algorithm »
- a algorithm »
-
1
The PID controller parameter tuning based on a modified differential evolutionary optimization algorithm for the intelligent active vibration control of a combined single link robo...
Published 2025“…This research suggests an evolutionary algorithm that incorporates the variational techniques mentioned above, which will be combined by a certain ratio, and the specific computational procedure. …”
Get full text
Get full text
Get full text
Article -
2
DC-based PV-powered home energy system
Published 2017“…A controller based on an algorithm of one time maximum power point (MPP) is proposed to mitigate those losses. …”
Get full text
Get full text
Thesis -
3
Design of seven level Dynamic Voltage Restorer for voltage sag and harmonics mitigation
Published 2023“…Many of these methods have their own drawbacks such as complexity, slow response and sensitivity to parameter variations. In this research, an improved Dynamic Voltage Restorer (DVR) topology has been designed and modeled to be used on a 415 Volts distribution network. …”
Conference Paper -
4
Design of low order quantitative feedback theory and H-infinity-based controllers using particle swarm optimisation for a pneumatic actuator system
Published 2010“…These algorithms are designed to achieve the robustness over a wide range of system parameters change and disturbances. …”
Get full text
Get full text
Thesis -
5
-
6
-
7
Three phase induction motor coupled to DC motor in hybrid electric vehicle application
Published 2011“…The new on-line parameter adaptation algorithm has been tested experimentally on three phase induction machine for a proof-of-concept demonstration. …”
Get full text
Get full text
Thesis -
8
Identifying and estimating solar cell parameters using an enhanced slime mould algorithm
Published 2024“…This study proposed an enhanced slime mould algorithm (ESMA) for identifying the solar cells’ parameters for five photovoltaic (PV) models, making two modifications to the original slime mould algorithm (SMA). …”
Get full text
Get full text
Get full text
Get full text
Get full text
Article -
9
Power prediction using the wind turbine power curve and data-driven approaches / Ehsan Taslimi Renani
Published 2018“…Secondly, a new formula representing frequency distribution of the turbine power is derived. …”
Get full text
Get full text
Get full text
Thesis -
10
Sensorless Adaptive Fuzzy Logic Control Of Permanent Magnet Synchronous Motor
Published 2008“…The main features of the proposed controller are; quick recovery of motor’s speed from load disturbances and insensitivity to parameter variation over a wide speed range. The proposed controller is a hybrid model reference adaptive speed controller (HMRASC) which mainly consists of two functional blocks. …”
Get full text
Get full text
Thesis -
11
Backstepping Integral Super Twisting Sliding Mode Control Algorithm For Autonomous Underwater Glider
Published 2019“…As a result, a robust and reliable has been designed using back-stepping integral super twisting sliding mode control algorithm (BISTSMC) for nonlinear model of longitudinal plane of an AUG. …”
Get full text
Get full text
Thesis -
12
Model-based hybrid variational level set method applied to lung cancer detection
Published 2024“…This algorithm simplifies the (Local Intensity Clustering) LIC model and devises a new energy functional based on the region-based pressure function. …”
Get full text
Get full text
Get full text
Article -
13
The effect of adaptive parameters on the performance of back propagation
Published 2012“…The Back Propagation algorithm or its variation on Multilayered Feedforward Networks is widely used in many applications. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
14
CAT CHAOTIC GENETIC ALGORITHM BASED TECHNIQUE AND HARDWARE PROTOTYPE FOR SHORT TERM ELECTRICAL LOAD FORECASTING
Published 2017“…In this research work, a modified backpropagation neural network is combined with a modified chaos-search genetic algorithm for STLF of one day and a week ahead. …”
Get full text
Get full text
Thesis -
15
Class binarization with self-adaptive algorithm to improve human activity recognition
Published 2018“…Therefore, feature selection using Relief-f with self-adaptive Differential Evolution (rsaDE) algorithm is proposed to select the most significant features. …”
Get full text
Get full text
Thesis -
16
Identification of continuous-time model of hammerstein system using modified multi-verse optimizer
Published 2021“…The essential feature of the average design parameter updating mechanism is that it helps any trapped design parameter jump out from the local optima region and continue a new search track. …”
Get full text
Get full text
Thesis -
17
A fuzzy-based PI controller for power management of a grid-connected PV-SOFC hybrid system
Published 2023Article -
18
New global maximum power point tracking and modular voltage equalizer topology for partially shaded photovoltaic system / Immad Shams
Published 2022“…Only one dynamic variable is used as a tuning parameter reducing the complexity of the algorithm. …”
Get full text
Get full text
Get full text
Thesis -
19
Estimating Gross Primary Production (GPP) of Kelantan forest area using MODIS
Published 2020“…GPP is estimated through a light use efficiency model (LUE) and enhanced vegetation index (EVI) as a proxy of greenness to address spatial and temporal variation in terrestrial photosynthetic activities. …”
Get full text
Undergraduate Final Project Report -
20
Field data-based mathematical modeling by Bode equations and vector fitting algorithm for renewable energy applications
Published 2018“…Several numerical techniques compete to fit the curves of empirical data such as wind, solar, and demand power rates. This paper proposes a new modified methodology presented as a parametric technique to determine the system’s modeling equations based on the Bode plot equations and the vector fitting (VF) algorithm by fitting the experimental data points. …”
Get full text
Get full text
Get full text
Article
