Active Suspension Based on a Motor-Driving Compacted Double-Gas-Chamber Hydro-Pneumatic Strut by Ruihong Li, Bing Ma, Fan Yang, Dezhao Lin, Weiqiang Zhang

“…Finally, to investigate the attitude control effect of MDHPS, the full-car model is established based on the co-simulation of Carsim and Matlab/Simulink. The anti-roll and anti-pitch properties based on the proposed height adjustment method are evaluated under different working conditions. …”
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Comparison Between Convolutional Neural Network CNN and SVM in Skin Cancer Images Recognition by Zaid Ghazi Hadi, Ahmed R. Ajel, Ayad Q. Al-Dujaili

“…These results were attained using MATLAB. …”
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INDIVIDUAL DIFFERENCES IN WORKING MEMORY PERFORMANCE: «OVERLOAD» EFFECT by Yuri G. Pavlov

“…Software packages EEGLab for Matlab and Fieldtrip are applied while data processing.Results. …”
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SOFCs integrated with SMES under dynamic power control using Chernobyl disaster optimizer by Sameh I. Selem, Attia A. El-Fergany, Eid A. Gouda, Mohamed F. Kotb, Islam Ismael

“…The role of the SOFCs stack in controlling the active and reactive power delivered to the network and direct load is investigated using two controllers: one to control the inverter, which converts the SOFC’s dc output to the main network, and the other to control the SMES. The Simulink/MATLAB environment is used to indicate the validity of the proposed framework under both steady-state and dynamical conditions. …”
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Dynamic analysis and comparison of the performance of linear and nonlinear controllers applied to a nonlinear non-interactive and interactive process by José M. Campos-Salazar, Pablo Lecaros, Rodrigo Sandoval-García

“…The comparative study was conducted through simulations in MATLAB/Simulink environments, where each controller's performance was assessed based on transient response, robustness to disturbances, and computational complexity. …”
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Robust <inline-formula><tex-math notation="LaTeX">$H_\infty$</tex-math></inline-formula> Fault-Tolerant Observer-Based PID Path Tracking Control of Autonomous Ground Vehicle With C... by Bor-Sen Chen, Hao-Ting Liu, Ruei-Syuan Wu

“…Consequently, by the proposed two-step method, the complex BMI can be transformed into two linear matrix inequalities (LMIs), which can be easily solved via LMI TOOLBOX in MATLAB. Therefore, control restriction is also considered to meet the constraints of physical actuator saturation on PID controller, making the proposed control scheme more applicable. …”
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Hybrid and Multi-Hop Advanced Zonal-Stable Election Protocol for Wireless Sensor Networks by Fakhri Alam Khan, Majid Khan, Muhammad Asif, Afsheen Khalid, Inam Ul Haq

“…The proposed protocol and its parent protocol are compared through simulation using simulator MATLAB 2014a. The simulation results show that our proposed protocol increases the stability period by increasing the number of alive nodes, packet delivery ratio, and optimizes average energy consumption as related to the existing protocols.…”
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Facial Edema Evaluation Using Digital Image Processing by A. E. Villafuerte-Nuñez, A. C. Téllez-Anguiano, O. Hernández-Díaz, R. Rodríguez-Vera, J. A. Gutiérrez-Gnecchi, J. L. Salazar-Martínez

“…Data analysis and processing are performed using MATLAB. Facial inflammation is measured by comparing three-dimensional reconstructions of inflammatory variations using the fringe projection technique. …”
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Tracking Control for Mobile Robots Considering the Dynamics of All Their Subsystems: Experimental Implementation by José Rafael García-Sánchez, Ramón Silva-Ortigoza, Salvador Tavera-Mosqueda, Celso Márquez-Sánchez, Victor Manuel Hernández-Guzmán, Mayra Antonio-Cruz, Gilberto Silva-Ortigoza, Hind Taud

“…Such an implementation is achieved by using MATLAB-Simulink and the real-time interface ControlDesk together with a DS1104 board. …”
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Power flow and power quality improvement of a residential-industrial microgrid using 72-pulse inverter-based UIPC by Mahyar Abasi, Ali Nahavandi, Javad Ebrahimi, Gevork B. Gharehpetian

“…The design presented in this work was modeled and implemented in MATLAB software, and the results of different test scenarios validated the optimal performance of the suggested design.…”
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Non-Linear Control of Interleaved Boost Converter Using Disturbance Observer-Based Approach by Avinash Mishra, Sanjoy Mandal, Jean-Yves Dieulot, Mrinal R. Bachute, Mohd Faizan, Anna Pinnarelli, Mehrdad Heidari, Alireza Soleimani

“…The use of the recommended control algorithm is demonstrated through MATLAB results and also using experiments based on prototype and using dSPACE 1104.…”
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Semi-Active Suspension Design for an In-Wheel-Motor-Driven Electric Vehicle Using a Dynamic Vibration-Absorbing Structure and PID-Controlled Magnetorheological Damper by Kyle Samaroo, Abdul Waheed Awan, Sheikh Islam

“…The semi-active suspension operating both in passive fail-safe mode and full feedback control was compared to a conventional in-wheel motor passive suspension in terms of sprung mass acceleration, displacement, stator acceleration, tyre deflection and suspension travel for three different road profile inputs using MATLAB/Simulink. The implementation of a PID-controlled MR damper improved road comfort and road holding performance and decreased in-wheel motor vibration over the DVAS passive suspension mainly in terms of a maximum peak amplitude decrease of 40%, 35% and 32% for the sprung mass acceleration, tyre deflection and stator acceleration, respectively. …”
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Wind Energy Resource Prediction and Optimal Storage Sizing to Guarantee Dispatchability: A Case Study in the Kenyan Power Grid by Hampfrey Odero, Cyrus Wekesa, George Irungu

“…LTWPP and BESS are modelled in MATLAB R2016a software. Thereafter, the developed BPNN and GA algorithms are applied to the modelled systems to predict the wind output and optimize the storage system, respectively. …”
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A Novel Mining Method for Longwall Panel Face Passing through Parallel Abandoned Roadways by Yang Li, Yuqi Ren, Nan Wang, Junbo Luo, Na Li, Yikun Liu, Guoshuai Li

“…Moreover, the sensitivity analysis of influenced factors to the maximum support capacity of shield was carried out by using Matlab software. The sensitivity analysis results indicated that different factors had a different effect on the support capacity of shield. …”
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Dataset of noise signals generated by smart attackers for disrupting state of health and state of charge estimations of battery energy storage systemsMendeley by Alaa Selim, Huadong Mo, Hemanshu Pota

“…This dataset is generated from real-time simulations conducted in MATLAB/Simscape, focusing on the impact of smart noise signals on battery energy storage systems (BESS). …”
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Analysing Methods of Measuring the Level of Development Based on the Experimental Data by Farzad Karimi, Mostafa Ahmadvand, Ali Heidari

“…The Cronbach's alpha coefficient (0.561-0.955) indicated the optimality of the questionnaire. Matlab 7.10, Excel2010, SPSS20, and Arc-GIS Softwares were used for modeling the level of rural development in the county. …”
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Model Predictive Current Control with Asymmetric Stacked Multilevel Inverter and LCL-Filter Based STATCOM by Mostafa Q. Kasim, Raaed Faleh Hassan

“…The proposed control framework was simulated using MATLAB/Simulink 9.1 environment and tested in a distorted and healthy network compared to a conventional two-level converter with RL-filter. …”
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Grouting Mechanism of Cement-Based Slurry in a Concentric Annulus under High Groundwater Pressure by Weijie Zhang, Chenghao Han, Lianzhen Zhang, Jiuchuan Wei, Huiyong Yin, Weiwei Han, Chao Xie, Wenwu Zhou

“…Some key parameters, such as the location, dimension, slurry viscosity, and pressure gradient of each element, can be obtained using the developed MATLAB program. On this basis, the distribution of pressure and slurry viscosity in the grouted zone and the variations in injection pressure at the grouting point and grouting flow rate are determined. …”
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Investigating Feed-Forward Back-Propagation Neural Network with Different Hyperparameters for Inverse Kinematics of a 2-DoF Robotic Manipulator: A Comparative Study by Rania Bouzid, Jyotindra Narayan, Hassène Gritli

“…Thereafter, we train the FFBP-NN with the generated datasets using the MATLAB Neural Network Toolbox and investigate its potential by altering the hyperparameters (e.g., number of hidden neurons, number of hidden layers, and training optimizer). …”
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Chaotic spiral based reconfiguration scheme for the mitigation of power loss in solar photovoltaic (PV) systems by Karthick. B, M. Sudhakaran

“…The proposed method is benchmarked against three established configurations: Total-cross-tied (TCT), Chaos Baker Map (CBM), and Improved Odd Even Prime (IOEP). MATLAB based simulation for an (8 × 8) PV array under different partial shading has been considered with the comparison result of an experimental set up of (4 × 4) PV array using CSBSST; it is observed that the proposed CSBSST yields maximum Global Maximum Power Point (GMPP) for all the cases. …”
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