Relevant bibliographies by topics / Simulink environment

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Simulink environment'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Simulink environment"

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Hofer, A., and H. Pristauz. "A Process Environment Toolbox for Matlab/Simulink." IFAC Proceedings Volumes 30, no. 12 (1997): 53–58. http://dx.doi.org/10.1016/s1474-6670(17)42763-7.

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Metodieva, ivelina Hristova. "WIND TURBINE MODEL IN MATLAB/SIMULINK ENVIRONMENT." International Journal of Engineering and Science Invention 14, no. 4 (2025): 16–20. https://doi.org/10.35629/6734-14041620.

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The purpose of the report is to create an neuron network that can provide information on the levels of electromagnetic fields created around conductors of an alternating current power line. The simulated is made byMatlab/Simulink, the received results are shown graphically.© 2017 Elsevier Inc.Allrightsreserved.
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Thanh, Ngo Ngoc, and Nguyen Phung Quang. "SIMULATION OF RECONFIGURATION SYSTEM USING MATLAB-SIMULINK ENVIRONMENT." Journal of Computer Science and Cybernetics 34, no. 2 (2018): 127–43. http://dx.doi.org/10.15625/1813-9663/34/2/9194.

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Reconfiguration strategy is intended to minimize losses and increase efficiency of the photovoltaic (PV) system under non-homogeneous solar irradiation based on irradiance equalization. The reconfiguration system (RS) includes: irradiance equalization algorithms which is effective in the calculation to find optimal configuration; dynamic electrical scheme (DES) switching matrix which is controlled to obtain the optimal configuration for PV array. The recent publications focus on bringing out the algorithms with the aim to select the optimal connection configuration and control DES switching ma
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Konovalov, Yuriy, and Aleksey Haziev. "SOLAR INSOLATION CALCULATION PROGRAM IN MATLAB / SIMULINK ENVIRONMENT." Bulletin of the Angarsk State Technical University 1, no. 15 (2022): 66–70. http://dx.doi.org/10.36629/2686-777x-2021-1-15-66-70.

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The article describes the mathematical calculation of the inflow of solar insolation, the device and operation of the insolation calculation program, graphs showing the change in radiation from the influence of weather factors, the location of the installation of solar receivers are ob-tained
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Manbir Kaur, Vinit Kumar,. "Power Quality Event Generation in MATLAB/Simulink Environment." International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering 04, no. 07 (2015): 6055–59. http://dx.doi.org/10.15662/ijareeie.2015.0407049.

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Musio, Fabio, Fausto Tacchi, Luca Omati, et al. "PEMFC system simulation in MATLAB-Simulink® environment." International Journal of Hydrogen Energy 36, no. 13 (2011): 8045–52. http://dx.doi.org/10.1016/j.ijhydene.2011.01.093.

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Yang, Seung-Chan, Tae-Seong Chae, Ju-Seong Nam, Sun-Yong Kim, and Jang-Wook Hur. "Construction of Wheel Loader Simulation Environment Using Simulink." Journal of the Korea Academia-Industrial cooperation Society 24, no. 12 (2023): 871–77. http://dx.doi.org/10.5762/kais.2023.24.12.871.

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Thompson, Bradley, and Hwan-Sik Yoon. "Internal Combustion Engine Modeling Framework in Simulink: Gas Dynamics Modeling." Modelling and Simulation in Engineering 2020 (September 3, 2020): 1–16. http://dx.doi.org/10.1155/2020/6787408.

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With advancements in computer-aided design, simulation of internal combustion engines has become a vital tool for product development and design innovation. Among the simulation software packages currently available, MATLAB/Simulink is widely used for automotive system simulations, but does not contain a comprehensive engine modeling toolbox. To leverage MATLAB/Simulink’s capabilities, a Simulink-based 1D flow engine modeling framework has been developed. The framework allows engine component blocks to be connected in a physically representative manner in the Simulink environment, reducing mod
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Galina, Troshina. "The dynamic objects modelling in Simulink environment. Part 1." Transaction of Scientific Papers of the Novosibirsk State Technical University, no. 3 (November 20, 2015): 55–68. http://dx.doi.org/10.17212/2307-6879-2015-3-55-68.

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Galina, Troshina. "The dynamic objects modelling in Simulink environment. Part 2." Transaction of Scientific Papers of the Novosibirsk State Technical University, no. 4 (December 29, 2015): 31–41. http://dx.doi.org/10.17212/2307-6879-2015-4-31-41.

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Dissertations / Theses on the topic "Simulink environment"

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Yang, Dekun. "Investigation of a new integration test environment : Facilitating offline debugging of Hardware-in-the-Loop." Thesis, KTH, Radio Systems Laboratory (RS Lab), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-177199.

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Advanced automatic testing is very important in development and research within the vehicle industry. Hardware-in-the-loop (HIL) systems give the ability to validate Electronic Control Units (ECUs) based on software simulation without gathering all of the physical hardware. This enables testing by providing inputs and examining the corresponding outputs of the ECUs in a simpler and safer way than in traditional physical testing. HIL offers the advantage that we can verify and validate the functions of ECUs prior to full-scale hardware production. On the contrary, because HIL systems are normal
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Shooshtary, Samaneh. "Development of a MATLAB Simulation Environment for Vehicle-to-Vehicle and Infrastructure Communication Based on IEEE 802.11p." Thesis, University of Gävle, Department of Technology and Built Environment, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-3463.

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<p>This thesis describes the simulation of the proposed IEEE 802.11p Physical layer (PHY). A MATLAB simulation is carried out in order to analyze baseband processing of the transceiver. Orthogonal Frequency Division Multiplexing (OFDM) is applied in this project according to the IEEE 802.11p standard, which allows transmission data rates from 3 up to 27Mbps. Distinct modulation schemes, Binary Phase Shift Keying (BPSK), Quadrate Phase Shift Keying (QPSK) and Quadrature Amplitude modulation (QAM), are used according to differing data rates. These schemes are combined with time interleaving and
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Jaime, Mérida Carlos. "Simulation of AGVs in MATLAB : Virtual 3D environment for testing different AGV kinematics and algorithms." Thesis, Högskolan i Skövde, Institutionen för ingenjörsvetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-18561.

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The field of robotics is becoming increasingly more important and consequently, students need better tools to gain knowledge and experience with them. The University of Skövde was interested in developing a learning tool focused on a virtual simulation of mobile robots. Despite the fact that there are several programmes to create this tool, MATLAB was preferable because of its strong presence in educational institutions. The objectives were oriented towards testing different robot kinematics in an adjustable virtual 3D environment. Moreover, the simulation needed a part in which future users c
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Miranda, Ricardo E. "Development of a nonlinear 6-degree of freedom miniature rotary-wing unmanned aerial vehicle software model and PID flight path controller using Mathworks Simulink simulation environment." Thesis, Monterey, California : Naval Postgraduate School, 2009. http://edocs.nps.edu/npspubs/scholarly/theses/2009/Sep/09Sep%5FMiranda.pdf.

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Thesis (M.S. in Electrical Engineering)--Naval Postgraduate School, September 2009.<br>Thesis Advisor(s): Hutchins, Robert G. ; Dobrokhodov, Vladimir ; Kitsios, Ioannis. "September 2009." Description based on title screen as viewed on November 5, 2009. Author(s) subject terms: Hardware in the Loop (HIL), Software in the Loop (SIL) Simulation Environment, 6-Degree of Freedom (6-DOF) Rotary-wing Unmanned Aerial Vehicle (RW UAV) model , PID Flight Path Controllers Includes bibliographical references (p. 111). Also available in print.
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PATEL, VIPUL J. "BEHAVIORAL SIMULATION AND SYNTHESIS ENVIRONMENT FOR CONTINUOUS-TIME SINGLE-LOOP SINGLE-BIT BASEBAND DELTA-SIGMA ANALOG-TO-DIGITAL MODULATORS." University of Cincinnati / OhioLINK, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1147473065.

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Lai, Hui-Chen. "Simulink-based implementation and performance analysis of TDS-OFDM in time-varying environments." Thesis, Monterey, California: Naval Postgraduate School, 2014. http://hdl.handle.net/10945/43943.

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Approved for public release; distribution is unlimited<br>In this thesis, we develop simulink-based software models to implement and test the time-domain synchronous OFDM (TDS-OFDM) transmitter and receiver systems. This technique has been introduced in terrestrial digital broadcasting in the P.R.C., and it seems to be particularly suitable to highly mobile environments. The transmission channel is modeled as a time-varying Rayleigh multipath channel. Two standard transmission channels models are considered: the COST 207 model with 6-path typical urban (TU6) characteristics and the China test8
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Chodavarapu, Sudhakar N. "A study of hydraulic properties of high level waste simulant." FIU Digital Commons, 2004. http://digitalcommons.fiu.edu/etd/2344.

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The purpose of this study was to determine the unsaturated hydraulic properties of High Level Waste simulant by applying inverse modeling and parameter estimation methods and data obtained by experiments. Saltcake simulant was placed in column equipped with tensiometers and flow meters. Variable pressure boundary conditions ranging from 100 to 500 cm were applied along the column, outflow and the pressure head were measured with respect to time. The experimental data was analyzed using an inverse modeling software and the van Genuchten's hydraulic parameters for unsaturated porous media were d
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Edwards, Michael. "Characterization of Fillite as a Planetary Soil Simulant in Support of Rover Mobility Assessment in High-Sinkage/High-Slip Environments." ScholarWorks @ UVM, 2015. http://scholarworks.uvm.edu/graddis/292.

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This thesis presents the results of a research program characterizing a soil simulant called Fillite, which is composed of alumino-silicate hollow microspheres harvested from the pulverized fuel ash of coal-fired power plants. Fillite is available in large quantities at a reasonable cost and it is chemically inert. Fillite has been selected by the National Aeronautics and Space Administration (NASA) Glenn Research Center to simulate high-sinkage/high-slip environment in a large test bed such as the ones encountered by the Spirit rover on Mars in 2009 when it became entrapped in a pocket of sof
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Boglarski, Stephen L. "Application of hydrogen bond acidic polycarbosilane polymers and solid phase microextraction for the collection of nerve agent simulant /." Download the thesis in PDF, 2006. http://www.lrc.usuhs.mil/dissertations/pdf/Boglarski2006.pdf.

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Notaro, Vincent. "Mixing Analysis of Like Doublet Injectors in High Pressure Environments for Gelled Propellant Simulants." University of Cincinnati / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1406821648.

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Books on the topic "Simulink environment"

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Marquez, F. MANAGING DATA in SIMULINK: DATA STORES, DATA DICTIONARY and CUSTOMIZE ENVIRONMENT. Independently Published, 2019.

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Dasmat-Delft University Aircraft Simulation Model and Analysis Tool: A Matlab, Simulink Environment for Flight Dynamics and Control Analysis (Series 03 - Control and Stimulation , No 03). Delft Univ Pr, 1998.

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National Aeronautics and Space Administration (NASA) Staff. Lunar Polar Environmental Testing: Regolith Simulant Conditioning. Independently Published, 2019.

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Dixon, Kenneth R. Modeling and Simulation in Ecotoxicology with Applications in MATLAB and Simulink. Taylor & Francis Group, 2016.

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Dixon, Kenneth R. Modeling and Simulation in Ecotoxicology with Applications in MATLAB and Simulink. Taylor & Francis Group, 2018.

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Dixon, Kenneth R. Modeling and Simulation in Ecotoxicology with Applications in MATLAB and Simulink. Taylor & Francis Group, 2016.

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Dixon, Kenneth R., and Randy Hsiao-Yu Lo. Modeling and Simulation in Ecotoxicology with Applications in MATLAB and Simulink. Taylor & Francis Group, 2011.

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Modeling and simulation in ecotoxicology with applications in MATLAB and Simulink. CRC Press, 2012.

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Book chapters on the topic "Simulink environment"

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Hubík, V., and V. Singule. "Sensor BLDC Motor Model in Simulink Environment." In Recent Advances in Mechatronics. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-05022-0_47.

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Legros, Elodie, Wilhelm Schäfer, Andy Schürr, and Ingo Stürmer. "14 MATE - A Model Analysis and Transformation Environment for MATLAB Simulink." In Model-Based Engineering of Embedded Real-Time Systems. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16277-0_14.

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Petrov, M., T. Murgan, F. May, M. Vorbach, P. Zipf, and M. Glesner. "The XPP Architecture and Its Co-simulation Within the Simulink Environment." In Field Programmable Logic and Application. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30117-2_77.

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Khaled, Nassim. "Introduction to Virtual Reality in MATLAB® and Simulink® Environment." In Virtual Reality and Animation for MATLAB® and Simulink® Users. Springer London, 2011. http://dx.doi.org/10.1007/978-1-4471-2330-9_1.

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Ghorai, Goutam Kumar, Rohit Nayak, Nairita Das, and Priyanshi Gupta. "Modeling and performance analysis of an electric vehicle using Matlab Simulink." In Intelligent Computation and Analytics on Sustainable Energy and Environment. CRC Press, 2024. http://dx.doi.org/10.1201/9781003540199-77.

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Gaikwad, Sandip A., and S. M. Shinde. "Five-Phase Induction Motor Modeling and Its Analysis Using MATLAB/Simulink." In Smart Technologies for Energy, Environment and Sustainable Development, Vol 1. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-6875-3_52.

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Rehman, Ali, Weiqing Xu, Fatima Zakir, and Maolin Cai. "Integration of SolidWorks and Simulink models of an open-closed cycle air-fueled Stirling engine." In Advances in Energy and Environment Research. CRC Press, 2017. http://dx.doi.org/10.1201/9781315212876-63.

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Lamberský, V., and R. Grepl. "Benchmarking Various Rapid Control Prototyping Targets Supported in Matlab/Simulink Development Environment." In Mechatronics 2013. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-02294-9_84.

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Kiruthiga, G. P., Mohdfakhizan B. Romlie, K. Porkumaran, and S. Prabakar. "Modeling of Wireless Power Transmission for Pacemaker Battery Charging in MATLAB Simulink Environment." In International Conference on Artificial Intelligence for Smart Community. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-2183-3_99.

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Yadav, Santosh Kumar, Nidhi Singh, M. A. Ansari, and Rohit Kumar. "Design and Comparative Analysis of Photovoltaic Battery Charge Control Techniques in Simulink Environment." In Advances in Smart Communication and Imaging Systems. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-9938-5_52.

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Conference papers on the topic "Simulink environment"

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Kaur, Amritjot, Manjeet Singh, D. Purnachandra, and Rishabh Dev Shukla. "Battery Modeling in EV Environment Using Simulink." In 2024 International Conference on Sustainable Power & Energy (ICSPE). IEEE, 2024. https://doi.org/10.1109/icspe62629.2024.10924320.

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Rachev, Emil, Vladislav Petrov, and Gergana Vacheva. "Analysis of Operating Modes of Lithium-Ion Battery in MATLAB/Simulink Environment." In 2025 Tenth Conference on Lighting (Lighting). IEEE, 2025. https://doi.org/10.1109/lighting64836.2025.11081771.

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Jagadananda, Ayekpam, Lourembam Lastrong Mangang, Mayanglambam Sam Meitei, Bunusagar Nongmaithem, Sorokhaibam Nilakanta Meitei, and Nameirakpam Basanta Singh. "Analysis of Harmonic Generated by Household Electronic Equipments with SMPS Using Matlab® Simulink®." In 2024 6th International Conference on Energy, Power and Environment (ICEPE). IEEE, 2024. http://dx.doi.org/10.1109/icepe63236.2024.10668948.

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Esken, Bruce L., and Brian L. Clayton. "MATLAB/Simulink analytic radar modeling environment." In Aerospace/Defense Sensing, Simulation, and Controls, edited by Alex F. Sisti and Dawn A. Trevisani. SPIE, 2001. http://dx.doi.org/10.1117/12.440023.

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Rashmi Nanda, Chia-Hsiang Yang, and Dejan Markovic. "DSP architecture optimization in Matlab/Simulink environment." In 2008 IEEE Symposium on VLSI Circuits. IEEE, 2008. http://dx.doi.org/10.1109/vlsic.2008.4586003.

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Hubik, V., M. Sveda, and V. Singule. "Sensor BLDC Motor Model in Simulink Environment." In Modelling, Identification, and Control. ACTAPRESS, 2010. http://dx.doi.org/10.2316/p.2010.675-025.

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Proykov, Mladen, Neli Simeonova, and Vasil Ivanov. "Inverter Model Optimization in Simulink Software Environment." In 2023 18th Conference on Electrical Machines, Drives and Power Systems (ELMA). IEEE, 2023. http://dx.doi.org/10.1109/elma58392.2023.10202524.

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Ferretti, Jacopo, Giacomo-Piero Schiapparelli, Enrico Sangiorgi, and Andrea Natale Tallarico. "SiC MOSFETs performance modeling in Simulink Simscape environment." In 2023 IEEE 10th Workshop on Wide Bandgap Power Devices & Applications (WiPDA). IEEE, 2023. http://dx.doi.org/10.1109/wipda58524.2023.10382195.

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Casavola, Alessandro, Ferdinando De Cristofaro, Iolanda Montalto, and Domenico Tavella. "Embedded control systems development environment realized in simulink." In European Control Conference 2007 (ECC). IEEE, 2007. http://dx.doi.org/10.23919/ecc.2007.7068309.

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Wenhua Zhu, Shanshui Yang, Li Wang, and Linglu Luo. "Modeling and analysis of output features of the solar cells based on MATLAB/Simulink." In Environment (ICMREE). IEEE, 2011. http://dx.doi.org/10.1109/icmree.2011.5930912.

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Reports on the topic "Simulink environment"

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Serkov, N. A., and O. V. Pas. INVESTIGATION OF THE PROCESSES OF CORRECTION OF THE DEVIATION OF THE TRAJECTORY OF THE EXECUTIVE BODY OF A MULTI–AXIS CNC MACHINE IN THE PRESENCE OF A KINEMATIC GAP IN THE MATLAB - SIMULINK ENVIRONMENT. DOI CODE, 2023. http://dx.doi.org/10.18411/vntr2023-170-3.

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Cataldo, D. A., M. W. Ligotke, S. D. Harvey, R. J. Fellows, and S. W. Li. Acute environmental toxicity and persistence of methyl salicylate: A chemical agent simulant. Final report. Office of Scientific and Technical Information (OSTI), 1994. http://dx.doi.org/10.2172/10167134.

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Cataldo, D. A., M. W. Ligotke, S. D. Harvey, et al. Acute environmental toxicity and persistence of DEM, a chemical agent simulant: Diethyl malonate. [Diethyl malonate]. Office of Scientific and Technical Information (OSTI), 1990. http://dx.doi.org/10.2172/6109186.

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Dodd, Hope, J. Cribbs, David Bowles, Cameron Cheri, and Jeffrey Williams. Aquatic community monitoring at Effigy Mounds National Monument, 2008?2017. National Park Service, 2023. http://dx.doi.org/10.36967/2300634.

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Dousman Creek, located in northeastern Iowa, is a Class ?B? coldwater stream that supports a trout population and is listed among the Outstanding Iowa Waters (Iowa Department of Natural Resources 2010, 2016). The Heartland Inventory and Monitoring Network (Heartland Network) of the National Park Service (NPS) has been monitoring aquatic communities (fish and invertebrates) in Dousman Creek within Effigy Mounds National Monument (NM) since 2008. Corresponding physical habitat and water quality were also collected during biotic sampling. The objectives of this long-term monitoring program are to
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