Simulink

Simulink® is an environment for multidomain simulation and Model-Based Design for dynamic and embedded systems. It provides an interactive graphical environment and a customizable set of block libraries that let you design, simulate, implement, and test a variety of time-varying systems, including communications, controls, signal processing, video processing, and image processing. Simulink is integrated with MATLAB®, providing immediate access to an extensive range of tools that let you develop algorithms, analyze and visualize simulations, create batch processing scripts, customize the modeling environment, and define signal, parameter, and test data.


References in zbMATH (referenced in 686 articles , 1 standard article )

Showing results 21 to 40 of 686.
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  1. Fürst, Jiří; Žák, Zdeněk: Numerical simulation of unsteady flows through a radial turbine (2019)
  2. Guezmil, Amal; Berriri, Hanen; Pusca, Remus; Sakly, Anis; Romary, Raphael; Mimouni, Mohamed Faouzi: High order sliding mode observer-based backstepping fault-tolerant control for induction motor (2019)
  3. Jeyakumar, S.; Sudha, S.: Hybrid hyperspectral image compression technique for non-iterative factorized tensor decomposition and principal component analysis: application for NASA’s AVIRIS data (2019)
  4. Jiao, Xuguo; Meng, Wenchao; Yang, Qinmin; Fu, Lingkun; Chen, Qi: Adaptive continuous neural pitch angle control for variable-speed wind turbines (2019)
  5. Jiao, Xuguo; Yang, Qinmin; Sun, Yong; Ying, You: Adaptive maximum power point tracking control for wind turbines with effective wind speed estimation & prediction (2019)
  6. Karsenty, Avi; Mandelbaum, Yaakov: Computer algebra challenges in nanotechnology: accurate modeling of nanoscale electro-optic devices using finite elements method (2019)
  7. Kennedy, Emese; King, Ethan; Tran, Hien: Real-time implementation and analysis of a modified energy based controller for the swing-up of an inverted pendulum on a cart (2019)
  8. Keviczky, László; Bars, Ruth; Hetthéssy, Jenő; Bányász, Csilla: Control engineering: MATLAB exercises (2019)
  9. Keviczky, László; Bars, Ruth; Hetthéssy, Jenő; Bányász, Csilla: Control engineering (2019)
  10. Kim, Kwangmin; Kim, Minji; Kim, Dongmok; Lee, Dongjun: Modeling and velocity-field control of autonomous excavator with main control valve (2019)
  11. Liang, Shiuan-Ni; Le, Duy-Manh; Lai, Pik-Yin: Cardiac alternans suppression under (T\pm\epsilon) feedback control: nonlinear dynamics analysis (2019)
  12. Li, Xiaojing; Wu, Aiguo; Zhang, Zhaolong: Immersion and invariance modular nonlinear tracking control for an underactuated quadrotor (2019)
  13. Lungu, Mihai; Lungu, Romulus: Adaptive neural network-based satellite attitude control by using the dynamic inversion technique and a VSCMG pyramidal cluster (2019)
  14. Mahdy, A. M. S.; Higazy, M.: Numerical different methods for solving the nonlinear biochemical reaction model (2019)
  15. Mansouri, Mahmoud; Nassiri, Kameleh: Positivity of continuous time irregular linear descriptor systems (2019)
  16. Ouendi, F.; Houti, S.; Tadjine, M.: Comparison of quadrotor performance using forwarding and PID-backstepping control (2019)
  17. Preoteasa, Viorel; Dragomir, Iulia; Tripakis, Stavros: Mechanically proving determinacy of hierarchical block diagram translations (2019)
  18. Sandak, Billie; Mazor, Avi; Asis, Amichay; Gilboa, Avi; Harel, David: Computational music therapy (2019)
  19. Santirso, Pablo; Samuel, Stephen: Implementation of EOQ and Lambert W function in 1-D engine simulation model for optimizing fuel injection in GDI engine (2019)
  20. Tunç, Cemil: On the properties of solutions for a system of nonlinear differential equations of second order (2019)

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