Academic literature on the topic 'Matlab Simulink'

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Journal articles on the topic "Matlab Simulink"

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Liu, Yong Mei, Yong Guan, and Jie Zhang. "Application in DSP/FPGA Design of Matlab/Simulink." Advanced Materials Research 204-210 (February 2011): 2221–24. http://dx.doi.org/10.4028/www.scientific.net/amr.204-210.2221.

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As an off-line simulation tool, the modular modelling method of Matlab/Simulik has the features of high efficiency and visualization. In order to realize the fast design and the simulation of prototype systems, the new method of SignalWAVe/Simulink mix modelling is presented, and the Reed-Solomon codec encoder-decoder model is built. Reed-Solomon codec encoder-decoder model is simulated by Simulink. Farther, the C language program and model the .out executable file are created by SignalWAVe RTW Options module, which completes the hard ware co-simulation. The simulation result conforms to the theoretical analysis, thus it has proven the validity and the feasibility of this method.
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Salihmuhsin, Metin, and Bassil Alhamed Aldwihi. "Matlab/Simulink ile PV Panellerinin Modellenmesi." Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi 22, no. 2 (June 28, 2019): 78–87. http://dx.doi.org/10.17780/ksujes.390417.

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Szántó, András, and Sándor Hajdu. "Járművek menetdinamikai szimulációja Matlab/Simulink környezetben." International Journal of Engineering and Management Sciences 3, no. 2 (April 20, 2018): 36–41. http://dx.doi.org/10.21791/ijems.2018.2.8.

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A következőkben járművek menetdinamikai szimulációjának a lehetőségeivel foglalkozunk. Az egyszerű kétkerék-modelltől kezdve, a valós futóművel rendelkező jármű tetszőleges útfelület mentén történő mozgásának a szimulációját mutatjuk be. A MATLAB, Simulink, valamint a Simscape nagyon jól használható eszközöket biztosít az előbb említett célok eléréséhez. Az így kapott járműmodell gyakorlati felhasználásának a hasznába is betekintést nyerünk, hiszen a szimuláció során ismert adatok birtokában gyakorlatilag bármilyen szabályozó algoritmus szimulációjára lehetőségünk van: a cikkben egy egyszerű ABS szabályozás kerül bemutatásra.
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Yang, Yihuai, Dongya Shen, Yonggang Xie, and Xiangde Li. "Matlab Simulink of COST231-WI Model." International Journal of Wireless and Microwave Technologies 2, no. 3 (June 15, 2012): 1–8. http://dx.doi.org/10.5815/ijwmt.2012.03.01.

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Lawan, Sagir, and CL Wamdeo. "Image Recognition Using MATLAB Simulink Blockset." International Journal of Computer Science, Engineering and Applications 7, no. 2 (April 30, 2017): 1–11. http://dx.doi.org/10.5121/ijcsea.2017.7201.

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Krismadinata, Nasrudin Abd Rahim, Hew Wooi Ping, and Jeyraj Selvaraj. "Photovoltaic Module Modeling using Simulink/Matlab." Procedia Environmental Sciences 17 (2013): 537–46. http://dx.doi.org/10.1016/j.proenv.2013.02.069.

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Agarwal, Varuni, and Dr Gagan Singh. "Modelling of Photovoltaic using MATLAB/SIMULINK." International Journal of Engineering Trends and Technology 23, no. 9 (May 25, 2015): 465–69. http://dx.doi.org/10.14445/22315381/ijett-v23p288.

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Ireson, Gren. "MATLAB—Student Edition. SIMULINK—Student Edition." Electronics Education 1996, no. 2 (1996): 8. http://dx.doi.org/10.1049/ee.1996.0035.

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Yang, Yihuai, Dongya Shen, Yonggang Xie, and Xiangde Li. "Matlab Simulink of COST231-WI Model." International Journal of Wireless and Microwave Technologies 2, no. 3 (June 15, 2012): 1–8. http://dx.doi.org/10.5815//ijwmt.2012.03.01.

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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 model build time. Each component block, derived from physical laws, interacts with other blocks according to block connection. In this Part 1 of series papers, a comprehensive gas dynamics model is presented and integrated in the engine modeling framework based on MATLAB/Simulink. Then, the gas dynamics model is validated with commercial engine simulation software by conducting a simple 1D flow simulation.
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Dissertations / Theses on the topic "Matlab Simulink"

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Silvestro, Andrea. "MATLAB/Simulink implementation of ForSyDe." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-296025.

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Nowadays, it is possible to integrate an increasing number of functionalities on a single chip thanks to the state of the art technology in Electronic design automation. However, designing highly complex electronic systems quickly and reliably requires dealing with all such functionalities, which can be difficult as it requires a long and challenging design process because low-level details are necessary to obtain a functional implementation. One approach to deal with this complexity is to tackle SoC design from a high-level abstraction standpoint. Then, the numerous functionalities can be described and possibly addressed at a high level, as long as the newly created abstraction gap is taken care of. Time-to-market is of crucial importance when designing a product. A design process done at a high-level of abstraction considerably reduces the time required to obtain the final product. ForSyDe was created to address the problem of moving system design (I.E. System on Chip, Hardware, and Software systems) to a higher level of abstraction and bridge the abstraction gap by transformational design refinement. Currently, ForSyDe is implemented in the functional language Haskell and SystemC. The design flow starts from executable application models with individual design constraints that are a consistent part of ForSyDe ’s goals and this thesis’s primary focus. This thesis project presents the implementation of ForSyDe in the widely used modelling software MATLAB/Simulink. This new implementation allows using the ForSyDe methodology together with the powerful simulation tools offered by Simulink and Matlab. The thesis describes and analyses the different Models of Computation (MoCs) used by ForSyDe. It then presents the ForSyDe methodology and its existing Haskell implementation (on which the Simulink implementation is based). The Simulink simulation engine is introduced to show the differences and similarities with Haskell. The Simulink library developed is based on the ForSyDe-Shallow module (an Embedded Domain-Specific Language part of the Haskell implementation). The limits and opportunities introduced by the Simulink implementation are discussed in this thesis. Like the rest of the documentation, all the existing code is available on the Github repository. The evaluation and comparison of the ForSyDe-Simulink library are also done with a concrete application model that is an Audio Filter subsystem of an audio equalizer system. Simulink is concluded to be more efficient in performance considering the execution time and the memory consumption, but it is not suitable to properly accommodate ForSyDe-Shallow due to a lack of expressiveness.
Tack vare framstegen inom automatisering av design för elektroniska system så är det idag möjligt att integrera mer funktionalitet på ett enstaka chip. Att däremot designa komplexa elektroniska system fort och pålitligt så krävs att alla funktioner hanteras korrekt, vilket kan vara svårt eftersom att det kräver en lång och besvärlig design process eftersom en hel del detaljer krävs för att få en fungerande implementation. Ett sätt att handskas med denna komplexitet är angripa problemet för SoC design genom att använda en hög abstraktionsnivå. Då kan all funktionalitet beskrivas och troligen även adresseras på en hög abstraktionsnivå, så länge man åtgärdar de abstraktions gap som detta orsakar. Tid-till-Marknad är av yttersta vikt då man designar en produkt och en designprocess som utförs på en hög abstraktionsnivå minskar kraftigt tiden till dess att produkten kan framställas. ForSyDe skapades för att adressera problemet med att flytta design av system (t.ex. System on Chip, hårdvara och mjukvarusystem) till en högre abstraktionsnivå och brygga gapet genom att använda transformationer och förfiningar av designen. Just nu så är ForSyDe implementerat i det funktionella språket Haskell och även SyStemC. Designflödet startar med exekverbara modeler av applikationen med individuella design begränsningar som är en del av ForSyDe’s mål och detta examensarbetes primära fokus. Detta examensarbetesprojekt presenterar en implementation av ForSyDe i den välanvända modelleringsmjukvaran MATLAB/Simulnik. Denna nya implementation tillåter användandet av ForSyDe metodologin tillsammans med det kraftfulla simulationsverktyget som tillhandahålls av Simulink och Matlab. Examensarbetet beskriver och analyserar de olika modeller för beräkning (MoCs) som används av ForSyDe. Sedan så presenteras ForSyDe metodologin och dens nuvarande Haskell implementation (som även Simulink implementation baseras på). Simulationsmotorn I Simulink introduceras för att påvisa skillnaderna och likheterna med Haskell. Biblioteket som utvecklats I Simulink baseras på ForSyDe- Shallow modulen (ett inbäddat och domänspecifikt språk som är en del av Haskell implementationen). De begränsningar och möjligheter som introduceras I och med Simulink implementationen diskuteras i detta examensarbete. Likt resten av dokumentationen så finns all kod tillgänglig på Github. En utvärdering och jämförelse av ForSyDe-Simulink biblioteket utförs också med en konkret applikationsmodell som är ett ljudfilter ifrån en ljudutjämnare.
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Chromiak, Michael. "AURIX target v systému MATLAB Simulink." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2020. http://www.nusl.cz/ntk/nusl-413260.

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This diploma thesis deals with the implementation of SIL and PIL simulation for the microcontroller Aurix TriCore TC277D performed in the Matlab Simulink. The realization of the simulation represents, among other things, the implementation of the simulated model into the microcontroller, as well as the creation of an interface for the communication of the microcontroller with the Matlab Simulink. The accuracy of SIL and PIL simulations was verified by comparing the simulated waveforms from the simulation in Simulink. The simulated model used a thermal model of a car cabin created in the previous bachelor's thesis of the author of this diploma thesis. The model in TC277D, as well as the configuration for SIL / PIL is created for use with the C programming language. The work also includes instructions according to which the model and configuration can be modified so that the simulations can be performed on any device containing the necessary software. From the comparison of the simulated data is it clear that the created configuration can be used for SIL or PIL simulation.
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Глинчак, С. В., Андрій Васильович Булашенко, Андрей Васильевич Булашенко, and Andrii Vasylovych Bulashenko. "Моделювання амплітудних модуляторів у середовищі MATLAB-SIMULINK." Thesis, Вид-во СумДУ, 2009. http://essuir.sumdu.edu.ua/handle/123456789/20401.

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Šoupal, Ondřej. "Programování mikrokontrolérů c2000 v programu MATLAB/Simulink." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2020. http://www.nusl.cz/ntk/nusl-413221.

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The aim of this thesis is to explore possibilities of rapid control prototyping, describe the concept of creating the software application in MATLAB/Simulink environment with use for development kit Texas instruments LaunchPad and create an application for DC and induction motor control in this environment. This work describes the application for unipolar/bipolar control H-Bridge of power converter for DC motor, measurement of output currents, speed and its displaying in real time using serial control interface. This thesis also desribes scalar and vector control of induction motor. All software applications with measurements are created in MATLAB/Simulink and attached to the thesis.
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Havlát, Petr. "Simulátor mobilních robotů v prostředí Matlab/Simulink." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2009. http://www.nusl.cz/ntk/nusl-217850.

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The main goal is the programming scene MATLAB/Simulink creation of graphic user interface (GUI), which allows the simulation of mobile robots movement. The work covers two types of these robots – first one is the robot with differentially controlled truck and second one auto robot (car-like robot). As a part of this draft GUI, there are also possibilities of showing all trajectory or only actual position, selection of step after which the robot can delineate and possibility of layout between the positions by using the button back and forwards.
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Dadej, Vincent. "Raspberry Pi: programování v prostředí Matlab/Simulink." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2018. http://www.nusl.cz/ntk/nusl-320104.

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The diploma thesis focuses on programming in the Matlab for the Raspberry Pi 3 platform. For the purpose of the presentation, there are two applications designed for Raspberry Pi that are using available hardware, camera and servos. The first application serves as colour object detecting and accurate tracking by using camera calibration. The second application serves as a face detection and recognition. These applications are implemented by modern methods and knowledge of computer vision. Tracking of the objects and face recognition are verified by an experiment that reveals the accuracy of the used methods.
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Anderson, Scott. "Modeling of a drum boiler using MATLAB/Simulink /." Connect to resource online, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1210175777.

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Anderson, Scott B. "Modeling of a Drum Boiler Using MATLAB/Simulink." Youngstown State University / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1210175777.

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Zborovský, Vojtěch. "Propojení virtuálního modelu v MATLAB/Simulink s PLC." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2018. http://www.nusl.cz/ntk/nusl-377022.

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Master’s thesis describes creating of virtual reality in VRML Language with use of VRML Pad editor and VRealm Builder. The thesis consists of the described objects in Simulink 3D Animation Library which are used for 3D Virtual scenes and connection of dynamics from Matlab/Simulink. Dynamics is created in Matlab/Simulink and connected by TCP/IP protocol to system PLC S7-1500. In the PLC is program for control of technology process. Process is visualized by HMI by Siemens AG and supplied by basic setting of connected communication and technology process.
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Lin, Jen-Pin. "Impedance Extraction by MATLAB/Simulink and LabView/Multisim." Scholar Commons, 2014. https://scholarcommons.usf.edu/etd/5257.

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This thesis studies the techniques of small-signal impedance measurement in three-phase power systems. Stability issue has become critically important since power electronics are highly applied in power distribution and conversion systems. Controlled output systems cause the risk of instability. In order to obtain the impedance model, an impedance extraction in D-Q reference frame algorithm is developed. This paper also applied Interpolated Fast Fourier Transform to increase accuracy of impedance model. Based on the voltage injection, Phase-Locked Loop, Park Transform, D-Q reference frame, and IPFFT. Three-phase system has been realigned on D-Q coordinate and impedance model is extracted in this form. Firstly, impedance extraction algorithm is designed by MATLAB/Simulink, the algorithm includes PLL, D-Q transform, and IPFFT is used to obtain magnitude and phase angle in frequency domain. Impedance matrices in D-Q frame may be solved through the relation between currents and voltages. Impedance model is made through various tests. Secondly, using the algorithm to test RL circuit to verify with real bode plot of the circuit. Then apply the algorithm on sophisticated circuit model. Finally, implement the algorithm on LabView/Multisim for future hardware tests. This paper clearly describes the objective of the research, the research problem and approaches, and experiment setup. This paper presents work conducted at the Smart Grid Power Systems Laboratory at University of South Florida.
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Books on the topic "Matlab Simulink"

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Bosl, Angelika. Einführung in MATLAB/Simulink. München: Carl Hanser Verlag GmbH & Co. KG, 2012. http://dx.doi.org/10.3139/9783446428942.

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Eshkabilov, Sulaymon. Beginning MATLAB and Simulink. Berkeley, CA: Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-5061-7.

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Eshkabilov, Sulaymon. Beginning MATLAB and Simulink. Berkeley, CA: Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-8748-4.

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Eshkabilov, Sulaymon L. Practical MATLAB Modeling with Simulink. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-5799-9.

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Xue, Dingyü, and Feng Pan. MATLAB and Simulink in Action. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-1176-9.

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Angermann, Anne, Michael Beuschel, Martin Rau, and Ulrich Wohlfarth. MATLAB®– Simulink®– Stateflow®. München: Oldenbourg Wissenschaftsverlag Verlag, 2011. http://dx.doi.org/10.1524/9783486719932.

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Pietruszka, Wolf Dieter. MATLAB und Simulink in der Ingenieurpraxis. Wiesbaden: Vieweg+Teubner, 2006. http://dx.doi.org/10.1007/978-3-8351-9074-0.

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Angermann, Anne. Matlab - Simulink - Stateflow: Grundlagen, Toolboxen, Beispiele. 4th ed. Mu nchen: Oldenbourg, 2005.

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Löwe, A. Chemische Reaktionstechnik: Mit MATLAB und SIMULINK. Weinheim: Wiley-VCH, 2000.

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Jerzy, Mościński, and Ogonowski Zbigniew 1954-, eds. Advanced control with MATLAB and SIMULINK. London: E. Horwood, 1995.

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Book chapters on the topic "Matlab Simulink"

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Lynch, Stephen. "Simulink." In Dynamical Systems with Applications using MATLAB®, 397–408. Boston, MA: Birkhäuser Boston, 2004. http://dx.doi.org/10.1007/978-0-8176-8156-2_19.

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Lynch, Stephen. "Simulink." In Dynamical Systems with Applications using MATLAB®, 457–67. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06820-6_21.

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Xue, Dingyü, and Feng Pan. "MATLAB Graphics." In MATLAB and Simulink in Action, 99–136. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-1176-9_5.

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Eshkabilov, Sulaymon. "Introduction to MATLAB." In Beginning MATLAB and Simulink, 1–89. Berkeley, CA: Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-5061-7_1.

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Eshkabilov, Sulaymon. "Introduction to MATLAB." In Beginning MATLAB and Simulink, 1–98. Berkeley, CA: Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-8748-4_1.

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Bosl, Angelika. "Programmieren in MATLAB." In Einführung in MATLAB/Simulink, 147–91. München: Carl Hanser Verlag GmbH & Co. KG, 2020. http://dx.doi.org/10.3139/9783446465466.006.

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Bosl, Angelika. "Programmieren in MATLAB." In Einführung in MATLAB/Simulink, 144–78. München: Carl Hanser Verlag GmbH & Co. KG, 2017. http://dx.doi.org/10.3139/9783446447707.006.

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Zacher, Serge, and Manfred Reuter. "Regelkreisanalyse mit MATLAB/Simulink." In Regelungstechnik für Ingenieure, 417–40. Wiesbaden: Vieweg+Teubner, 2011. http://dx.doi.org/10.1007/978-3-8348-9837-1_14.

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Tlelo-Cuautle, Esteban, José de Jesús Rangel-Magdaleno, and Luis Gerardo De la Fraga. "Matlab-Simulink Co-Simulation." In Engineering Applications of FPGAs, 61–75. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-34115-6_3.

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Orlowski, Peter F. "Simulation mit MATLAB Simulink." In Praktische Regeltechnik, 400–404. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-41233-2_8.

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Conference papers on the topic "Matlab Simulink"

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Ivanov, S. "MATLAB-SIMULINK." In International Conference on Simulation (1998). IEE, 1998. http://dx.doi.org/10.1049/cp:19980637.

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Reicherdt, Robert, and Sabine Glesner. "Slicing MATLAB Simulink models." In 2012 34th International Conference on Software Engineering (ICSE 2012). IEEE, 2012. http://dx.doi.org/10.1109/icse.2012.6227161.

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Pandiarajan, Natarajan. "Photovoltaic generator MATLAB/Simulink model." In 2016 3rd International Conference on Electrical Energy Systems (ICEES). IEEE, 2016. http://dx.doi.org/10.1109/icees.2016.7510622.

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Kayukov, A. I., I. A. Galushka, and I. A. Stefanova. "MULTIPLEXER MODELING IN MATLAB+SIMULINK." In Actual problems of physical and functional electronics. Ulyanovsk State Technical University, 2023. http://dx.doi.org/10.61527/appfe-2023.46-49.

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"Simulation Deployment Blockset for MATLAB/Simulink." In 2016 Spring Simulation Multi-Conference. Society for Modeling and Simulation International (SCS), 2016. http://dx.doi.org/10.22360/springsim.2016.tmsdevs.026.

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Schlie, Alexander, David Wille, Sandro Schulze, Loek Cleophas, and Ina Schaefer. "Detecting Variability in MATLAB/Simulink Models." In SPLC '17: 21st International Systems and Software Product Line Conference. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3106195.3106225.

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Al Azzawi, Fatima Faydhe, Kamal Y. Kamal, Gailan Abdul Qadir, and Israa Ali Abdulghafor. "LTE Transceiver Modeling in MATLAB Simulink." In 2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT). IEEE, 2023. http://dx.doi.org/10.1109/icaect57570.2023.10117920.

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Cernusca, Dumitru, Radu-Dumitru Pentiuc, Eugen Hopulele, and Laurensiu Dan Milici. "Distributed Generation Modeling in Matlab-Simulink." In 2019 International Conference on Electromechanical and Energy Systems (SIELMEN). IEEE, 2019. http://dx.doi.org/10.1109/sielmen.2019.8905844.

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Shakouri, P., D. S. Laila, A. Ordys, and M. Askari. "Longitudinal vehicle dynamics using Simulink/Matlab." In UKACC International Conference on CONTROL 2010. Institution of Engineering and Technology, 2010. http://dx.doi.org/10.1049/ic.2010.0410.

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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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Reports on the topic "Matlab Simulink"

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Singh, M., E. Muljadi, J. Jonkman, V. Gevorgian, I. Girsang, and J. Dhupia. Simulation for Wind Turbine Generators -- With FAST and MATLAB-Simulink Modules. Office of Scientific and Technical Information (OSTI), April 2014. http://dx.doi.org/10.2172/1130628.

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Ueda, Jason, David Daniszewski, John Monroe, Abul Masrur, Eric Charbeneau, Eric Jochum, and Rakesh Patel. Electrical Modeling and Simulation With Matlab/Simulink and Graphical User Interface Software. Fort Belvoir, VA: Defense Technical Information Center, June 2006. http://dx.doi.org/10.21236/ada489033.

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Guevara-Nichoy, Carlos Eduardo. Introducción al análisis de la respuesta transitoria de sistemas de control análogos mediante MATLAB y Simulink. Universidad Cooperativa de Colombia, 2016. http://dx.doi.org/10.16925/greylit.1906.

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Шелевицкий, Игорь Владимирович. Интерполяционные сплайны в задачах цифровой обработки сигналов. Exponenta Pro, 2003. http://dx.doi.org/10.31812/0564/44.

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Статья посвящена использованию интерполяционных сплайнов в цифровой обработке сигналов. Основная идея состоит в управ лении погрешностью приближения путем синтеза базисных сплайнов с учетом априорной информации о частотных свой ствах сигнала, при этом особое внимание уделено эффективнос ти расчетов. Большинству инженеров известны в основном кубические сплай ны минимального дефекта (с двумя непрерывными производны ми) и их применение в системах компьютерной графики. В циф ровой обработке сигналов сплайны ассоциируются с вейвлета ми, где в качестве вейвлетов также используют алгебраические В сплайны. При этом основным способом адаптации сплайнов к сигналу является изменение масштаба базисных сплайнов. Од нако возможности сплайнов значительно шире, так же как и их разнообразие. Изложенное позволяет оценить и использовать это многообразие на практике. Многочисленные практические вычислительные схемы и примеры дают возможность без привлечения дополнительных материалов опробовать предложенные решения. Основными инструментами для работы являются пакеты Mathcad, MATLAB, Simulink. Эффек тивный вычислительный аппарат позволяет получать экономные алгоритмы и аппаратные решения в сочетании с прозрачностью и простотой идей. Преимущества сплайнов проявляются в полной мере в тех случаях, когда обрабатываемые гладкие сигналы имеют сложную форму. Относительным признаком этого является нали чие более 6–8 экстремумов на фрагменте обработки.
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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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Wu, Yingjie, Selim Gunay, and Khalid Mosalam. Hybrid Simulations for the Seismic Evaluation of Resilient Highway Bridge Systems. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, November 2020. http://dx.doi.org/10.55461/ytgv8834.

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Bridges often serve as key links in local and national transportation networks. Bridge closures can result in severe costs, not only in the form of repair or replacement, but also in the form of economic losses related to medium- and long-term interruption of businesses and disruption to surrounding communities. In addition, continuous functionality of bridges is very important after any seismic event for emergency response and recovery purposes. Considering the importance of these structures, the associated structural design philosophy is shifting from collapse prevention to maintaining functionality in the aftermath of moderate to strong earthquakes, referred to as “resiliency” in earthquake engineering research. Moreover, the associated construction philosophy is being modernized with the utilization of accelerated bridge construction (ABC) techniques, which strive to reduce the impact of construction on traffic, society, economy and on-site safety. This report presents two bridge systems that target the aforementioned issues. A study that combined numerical and experimental research was undertaken to characterize the seismic performance of these bridge systems. The first part of the study focuses on the structural system-level response of highway bridges that incorporate a class of innovative connecting devices called the “V-connector,”, which can be used to connect two components in a structural system, e.g., the column and the bridge deck, or the column and its foundation. This device, designed by ACII, Inc., results in an isolation surface at the connection plane via a connector rod placed in a V-shaped tube that is embedded into the concrete. Energy dissipation is provided by friction between a special washer located around the V-shaped tube and a top plate. Because of the period elongation due to the isolation layer and the limited amount of force transferred by the relatively flexible connector rod, bridge columns are protected from experiencing damage, thus leading to improved seismic behavior. The V-connector system also facilitates the ABC by allowing on-site assembly of prefabricated structural parts including those of the V-connector. A single-column, two-span highway bridge located in Northern California was used for the proof-of-concept of the proposed V-connector protective system. The V-connector was designed to result in an elastic bridge response based on nonlinear dynamic analyses of the bridge model with the V-connector. Accordingly, a one-third scale V-connector was fabricated based on a set of selected design parameters. A quasi-static cyclic test was first conducted to characterize the force-displacement relationship of the V-connector, followed by a hybrid simulation (HS) test in the longitudinal direction of the bridge to verify the intended linear elastic response of the bridge system. In the HS test, all bridge components were analytically modeled except for the V-connector, which was simulated as the experimental substructure in a specially designed and constructed test setup. Linear elastic bridge response was confirmed according to the HS results. The response of the bridge with the V-connector was compared against that of the as-built bridge without the V-connector, which experienced significant column damage. These results justified the effectiveness of this innovative device. The second part of the study presents the HS test conducted on a one-third scale two-column bridge bent with self-centering columns (broadly defined as “resilient columns” in this study) to reduce (or ultimately eliminate) any residual drifts. The comparison of the HS test with a previously conducted shaking table test on an identical bridge bent is one of the highlights of this study. The concept of resiliency was incorporated in the design of the bridge bent columns characterized by a well-balanced combination of self-centering, rocking, and energy-dissipating mechanisms. This combination is expected to lead to minimum damage and low levels of residual drifts. The ABC is achieved by utilizing precast columns and end members (cap beam and foundation) through an innovative socket connection. In order to conduct the HS test, a new hybrid simulation system (HSS) was developed, utilizing commonly available software and hardware components in most structural laboratories including: a computational platform using Matlab/Simulink [MathWorks 2015], an interface hardware/software platform dSPACE [2017], and MTS controllers and data acquisition (DAQ) system for the utilized actuators and sensors. Proper operation of the HSS was verified using a trial run without the test specimen before the actual HS test. In the conducted HS test, the two-column bridge bent was simulated as the experimental substructure while modeling the horizontal and vertical inertia masses and corresponding mass proportional damping in the computer. The same ground motions from the shaking table test, consisting of one horizontal component and the vertical component, were applied as input excitations to the equations of motion in the HS. Good matching was obtained between the shaking table and the HS test results, demonstrating the appropriateness of the defined governing equations of motion and the employed damping model, in addition to the reliability of the developed HSS with minimum simulation errors. The small residual drifts and the minimum level of structural damage at large peak drift levels demonstrated the superior seismic response of the innovative design of the bridge bent with self-centering columns. The reliability of the developed HS approach motivated performing a follow-up HS study focusing on the transverse direction of the bridge, where the entire two-span bridge deck and its abutments represented the computational substructure, while the two-column bridge bent was the physical substructure. This investigation was effective in shedding light on the system-level performance of the entire bridge system that incorporated innovative bridge bent design beyond what can be achieved via shaking table tests, which are usually limited by large-scale bridge system testing capacities.
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ОПТИМИЗАЦИЯ ПАРАМЕТРОВ ОПЕРАЦИИ ОБЕЗЗАРАЖИВАНИЯ СТОЧНЫХ ВОД ПИЩЕВЫХ ПРОИЗВОДСТВ. Н. В. Лимаренко, Л. А. Пудеян, April 2020. http://dx.doi.org/10.33236/2307-910x-2020-1-29-40-44.

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Обеспечение продовольственной безопасности страны напрямую зависит от эффективности технологий пищевых производств и утилизации их отходов. К сожалению, безопасное использование отходов большинства пищевых производств невозможно без их обеззараживания. Материалы и методы. В данной работе оптимизированы параметры операции обеззараживания сточных вод пищевых производств, при комплексном физико-химическом воздействии в активаторе, вращающимся электромагнитным полем с перемещающимися внутри него ферромагнитными частицами и активного хлора. Результаты и обсуждения. Результатом оптимизации является снижение удельной энергоёмкости процесса при соблюдении требований к эпидемиологической безопасности. Параметры оптимизированной системы имеют следующие значения: заполненность ферромагнитными стержнями рабочей зоны активатора зп = 5,18 %; магнитная индукция B = 40 мТл; отношение длины ферромагнитных стержней к их диаметру l/d = 25; концентрация активного хлора  = 15,60 мг/л; продолжительность воздействия t = 2,81 с; при этом удельные затраты электроэнергии составляют Nуэ=3,09 Вт∙с/мл, а показатели эпидемиологической безопасности не превышают допустимых нормативными документами. Ре-зультаты оптимизации параметров системы, выполненны в среде программного комплекса Matlab Simulink. Заключение. В ходе проведённого исследования были получены следующие параметры операции обеззараживания сточных вод пищевых производств в активаторе: зп = 5,18 %; l/d=25; B=40 мТл;  =15,60 мг/л; t =2,81 с; критерий оп-тимальности (удельная энергоёмкость процесса обеззараживания) равен Nуэ=3,09 Вт∙с/мл; предельно допустимое число КОЕ ОКБ 100 шт; расчётное значение числа составило КОЕ ОКБ 98 шт.
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Development of an Adaptive Efficient Thermal/Electric Skipping Control Strategy Applied to a Parallel Plug-in Hybrid Electric Vehicle. SAE International, March 2022. http://dx.doi.org/10.4271/2022-01-0737.

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In recent years automobile manufacturers focused on an increasing degree of electrification of the powertrains with the aim to reduce pollutants and CO2 emissions. Despite more complex design processes and control strategies, these powertrains offer improved fuel exploitation compared to conventional vehicles thanks to intelligent energy management. A simulation study is here presented aiming at developing a new control strategy for a P3 parallel plug-in hybrid electric vehicle. The simulation model is implemented using vehicle modeling and simulation toolboxes in MATLAB/Simulink. The proposed control strategy is based on an alternative utilization of the electric motor and thermal engine to satisfy the vehicle power demand at the wheels (Efficient Thermal/Electric Skipping Strategy - ETESS). The choice between the two units is realized through a comparison between two equivalent fuel rates, one related to the thermal engine and the other related to the electric consumption. An adaptive function is introduced to develop a charge-blended control strategy. The novel adaptive control strategy (A-ETESS) is applied to estimate fuel consumption along different driving cycles. The control algorithm is implemented on a dedicated microcontroller unit performing a Processor-In-the-Loop (PIL) simulation. To demonstrate the reliability and effectiveness of the A-ETESS, the same adaptive function is built on the Equivalent Consumption Minimization Strategy (ECMS). The PIL results showed that the proposed strategy ensures a fuel economy similar to ECMS (worse of about 2% on average) and a computational effort reduced by 99% on average. This last feature reveals the potential for real-time on-vehicle applications.
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Event-Triggered Adaptive Robust Control for Lateral Stability of Steer-by-Wire Vehicles with Abrupt Nonlinear Faults. SAE International, July 2022. http://dx.doi.org/10.4271/2022-01-5056.

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Because autonomous vehicles (AVs) equipped with active front steering have the features of time varying, uncertainties, high rate of fault, and high burden on the in-vehicle networks, this article studies the adaptive robust control problem for improving lateral stability in steer-by-wire (SBW) vehicles in the presence of abrupt nonlinear faults. First, an upper-level robust H∞ controller is designed to obtain the desired front-wheel steering angle for driving both the yaw rate and the sideslip angle to reach their correct values. Takagi-Sugeno (T-S) fuzzy modeling method, which has shown the extraordinary ability in coping with the issue of nonlinear, is applied to deal with the challenge of the changing longitudinal velocity. The output of the upper controller can be calculated by a parallel distributed compensation (PDC) scheme. Then an event-triggered adaptive fault-tolerant lower controller (ET-AFTC) is proposed to drive the whole SBW system driving the desired steering angle offered by the upper controller with fewer communication resources and strong robustness. By employing a backstepping technique, the tracking performance is improved. The dynamic surface control (DSC) approach is used to avoid the problem of repeated differentiations, and Nussbaum function is adopted to overcome the difficulty of unknown nonlinear control gain. Both the stability of the upper and lower controllers can be guaranteed by Lyapunov functions. Finally, the simulations of Matlab/Simulink are given to show that the proposed control strategy is effectively able to deal with the abrupt nonlinear fault via less communication resources and perform better in ensuring the yaw stability of the vehicle.
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An Input Linearized Powertrain Model for the Optimal Control of Hybrid Electric Vehicles. SAE International, March 2022. http://dx.doi.org/10.4271/2022-01-0741.

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Models of hybrid powertrains are used to establish the best combination of conventional engine power and electric motor power for the current driving situation. The model is characteristic for having two control inputs and one output constraint: the total torque should be equal to the torque requested by the driver. To eliminate the constraint, several alternative formulations are used, considering engine power or motor power or even the ratio between them as a single control input. From this input and the constraint, both power levels can be deduced. There are different popular choices for this one control input. This paper presents a novel model based on an input linearizing transformation. It is demonstrably superior to alternative model forms, in that the core dynamics of the model (battery state of energy) are linear, and the non-linearities of the model are pushed into the inputs and outputs in a Wiener/Hammerstein form. The output non-linearities can be approximated using a quadratic model, which creates a problem in the linear-quadratic framework. This facilitates the direct application of linear control approaches such as LQR control, predictive control, or Model Predictive Control (MPC). The paper demonstrates the approach using the ELectrified Vehicle library for sImulation and Optimization (ELVIO). It is an open-source MATLAB/Simulink library designed for the quick and easy simulation and optimization of different powertrain and drivetrain architectures. It follows a modelling methodology that combines backward-facing and forward-facing signal path, which means that no driver model is required. The results show that the approximated solution provides a performance that is very close to the solution of the original problem except for extreme parts of the operating range (in which case the solution tends to be driven by constraints anyway).
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