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 670 articles , 1 standard article )

Showing results 1 to 20 of 670.
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  1. Shafai, Bahram: System identification and adaptive control (to appear) (2024)
  2. Bhaumik, Shovan; Date, Paresh: Nonlinear estimation. Methods and applications with deterministic sample points (2020)
  3. Wiraszka, Michał Sławomir; Sakrajda, Piotr: Switching energy loss in fractional-order time-varying heat diffusion model (2020)
  4. Adamatzky, Andrew (ed.); Akl, Selim G. (ed.); Sirakoulis, Georgios Ch. (ed.): From parallel to emergent computing (2019)
  5. Altun, Yener; Tunç, Cemil: On the estimates for solutions of a nonlinear neutral differential system with periodic coefficients and time-varying lag (2019)
  6. Ammar, Abdelkarim; Talbi, Billel; Ameid, Tarek; Azzoug, Younes; Kerrache, Abdelaziz: Predictive direct torque control with reduced ripples for induction motor drive based on T-S fuzzy speed controller (2019)
  7. Asadi, Farzin; Bolanos, Robert E.; Rodriguez, Jorge: Feedback control systems. The MATLAB/Simulink approach (2019)
  8. Báez-López, José Miguel David; Báez Villegas, David Alfredo: MATLAB handbook with applications to mathematics, science, engineering, and finance (2019)
  9. Bélai, Igor; Huba, Mikuláš; Burn, Kevin; Cox, Chris: PID and filtered PID control design with application to a positional servo drive. (2019)
  10. Bendoukha, Samir; Abdelmalek, Samir; Abdelmalek, Salem: A new combined actuator fault estimation and accommodation for linear parameter varying system subject to simultaneous and multiple faults: an LMIs approach (2019)
  11. Biçer, Emel; Tunç, Cemil: On the asymptotic stability behaviours of solutions of nonlinear differential equations with multiple variable advanced arguments (2019)
  12. Boulkhrachef, S.; Moualdia, A.; Boudana, D. J.; Wira, P.: Higher-order sliding mode control of a wind energy conversion system (2019)
  13. Chen, Gang; Li, Zhiyong; Wei, Mengli: Distributed fixed-time secondary coordination control of islanded microgrids (2019)
  14. Deepika, Deepika; Kaur, Sandeep; Narayan, Shiv: Centralized sliding mode frequency regulation approach for an uncertain islanded micro grid integrated with disturbance observer (2019)
  15. Dimirovski, Georgi; Wang, Jiqiang; Yue, Hong; Stefanovski, Jovan: Impact of average-dwell-time characterizations for switched nonlinear systems on complex systems control (2019)
  16. Ebrahimpanah, Shahrouz; Chen, Qihong; Zhang, Liyan; Adam, Misbawu: Model predictive voltage control with optimal duty cycle for three-phase grid-connected inverter (2019)
  17. Fürst, Jiří; Žák, Zdeněk: Numerical simulation of unsteady flows through a radial turbine (2019)
  18. 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)
  19. 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)
  20. Jiao, Xuguo; Meng, Wenchao; Yang, Qinmin; Fu, Lingkun; Chen, Qi: Adaptive continuous neural pitch angle control for variable-speed wind turbines (2019)

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