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 596 articles , 1 standard article )

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  1. Shafai, Bahram: System identification and adaptive control (to appear) (2024)
  2. Keviczky, László; Bars, Ruth; Hetthéssy, Jenő; Bányász, Csilla: Control engineering (2019)
  3. Keviczky, László; Bars, Ruth; Hetthéssy, Jenő; Bányász, Csilla: Control engineering: MATLAB exercises (2019)
  4. Amat, Sergio; Legaz, M. José: On differential singular perturbation problems: a simple variational approach (2018)
  5. Chen, Xue-wen; Zhou, Yue: Modelling and analysis of automobile vibration system based on fuzzy theory under different road excitation information (2018)
  6. Das, Raja; Reddy, Madhu Sudan: Application of recurrent neural network using MATLAB Simulink in medicine (2018)
  7. Douanla, Rostand Marc; Kenné, Godpromesse; Pelap, François Béceau; Fotso, Armel Simo: A modified RBF neuro-sliding mode control technique for a grid connected PMSG based variable speed wind energy conversion system (2018)
  8. Fernández-Cara, Enrique; Prouvée, Laurent: Optimal control of mathematical models for the radiotherapy of gliomas: the scalar case (2018)
  9. Jia, Zirui; Liu, Chongxin: Fractional-order modeling and simulation of magnetic coupled boost converter in continuous conduction mode (2018)
  10. Klee, Harold; Allen, Randal: Simulation of dynamic systems with MATLAB and Simulink (2018)
  11. Liu, Xiangyong; Li, Wanli; Wang, Wenjia; Xu, Zhiqiang: Control for the new harsh sea conditions salvage crane based on modified fuzzy PID (2018)
  12. Peixoto, Márcia L. C.; Nepomuceno, Erivelton G.; Martins, Samir A. M.; Lacerda, Márcio J.: Computation of the largest positive Lyapunov exponent using rounding mode and recursive least square algorithm (2018)
  13. Peng, Chao; Zeng, Haibo: Response time analysis of digraph real-time tasks scheduled with static priority: generalization, approximation, and improvement (2018)
  14. Porru, Mario; Serpi, Alessandro; Marongiu, Ignazio; Damiano, Alfonso: Suppression of DC-link voltage unbalance in three-level neutral-point clamped converters (2018)
  15. Sakr, Ahmad; El-Nagar, Ahmad M.; El-Bardini, Mohammad; Sharaf, Mohammed: Improving the performance of networked control systems with time delay and data dropouts based on fuzzy model predictive control (2018)
  16. Sedaghati, Reza; Shakarami, Mahmoud Reza: Power sharing adaptive control strategy for a microgrid with multiple storage and renewable energy sources (2018)
  17. Wang, Jin; Guo, Jinghua: Lateral stability control of distributed drive electric vehicle based on fuzzy sliding mode control (2018)
  18. Wang, Yue; Zheng, Gang; Efimov, Denis; Perruquetti, Wilfrid: Differentiator application in altitude control for an indoor blimp robot (2018)
  19. Yang, Funing; Wang, Yanyang: Suppression of switched reluctance motor vibration of in-wheel motor electric vehicle (2018)
  20. Yang, Won Young; Choi, Young K.; Kim, Jaekwon; Kim, Man Cheol; Kim, H. Jin; Im, Taeho: Engineering mathematics with MATLAB (2018)

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