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 823 articles , 1 standard article )

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  1. Shafai, Bahram: System identification and adaptive control (to appear) (2024)
  2. Ahmad, Zubair; Ali, Farhad; Alqahtani, Aisha M.; Khan, Naveed; Khan, Ilyas: Dynamics of cooperative reactions based on chemical kinetics with reaction speed: a comparative analysis with singular and nonsingular kernels (2022)
  3. Alli-Oke, R. Olusegun: On the validity of numerical simulations for control-theoretic AQM schemes in computer networks (2022)
  4. Feng, Yiwei; Wu, Zhijun: RETRACTED ARTICLE: “A new controller design method for optimal frequency regulation in smart grid based on incremental passivity” (2022)
  5. Preoteasa, Viorel; Dragomir, Iulia; Tripakis, Stavros: The refinement calculus of reactive systems (2022)
  6. Schweizer, Wolfgang: MATLAB compact (2022)
  7. Stanimirović, Predrag S.; Petković, Marko D.; Mosić, Dijana: Exact solutions and convergence of gradient based dynamical systems for computing outer inverses (2022)
  8. Wang, Shui-Hua; Karaca, Yeliz; Zhang, Xin; Zhang, Yu-Dong: Secondary pulmonary tuberculosis recognition by rotation angle vector grid-based fractional Fourier entropy (2022)
  9. Xu, Xiong; Wang, Shuling; Zhan, Bohua; Jin, Xiangyu; Talpin, Jean-Pierre; Zhan, Naijun: Unified graphical co-modeling, analysis and verification of cyber-physical systems by combining AADL and simulink/stateflow (2022)
  10. Yang, Bingen; Abramova, Inna: Dynamic systems. Modeling, simulation, and analysis (to appear) (2022)
  11. Zamojski, Mariusz; Sumerauer, Paul; Bacher, Christoph; Dohnal, Fadi: Towards online transient simulation of a real heat pump (2022)
  12. Zhu, Quanmin; Li, Ruobing; Yan, Xinggang: U-model-based double sliding mode control ((\textU_\textDSM)-control) of nonlinear dynamic systems (2022)
  13. Alshabeeb, Israa Ali; Ali, Nidaa Ghalib: Optimization of fuzzy inference system based on particle swarm optimization to enhance the efficiency of system (2021)
  14. Altun, Y.; Tunç, C.: On the exponential stability of neutral linear systems with variable delays (2021)
  15. Antipov, A. S.; Krasnova, S. A.: Block-based synthesis of a tracking system for a twin-rotor electromechanical system with constraints on state variables (2021)
  16. Bozzano, Marco; Cimatti, Alessandro; Gario, Marco; Jones, David; Mattarei, Cristian: Model-based safety assessment of a triple modular generator with xSAP (2021)
  17. Bratishchev, Aleksandr Vasil’evich: Qualitative analysis of the equation of motion of the “mobile platform with a pendulum” system (2021)
  18. Canedo Alonso, M. M.; González Cuadra, Jaime; González-Hernández, J. L.: ANN-MATOPT hybrid algorithm: determination of kinetic and non-kinetic parameters in different reaction mechanisms (2021)
  19. Chandrasekaran, S.; Durairaj, S.; Padmavathi, S.: A performance evaluation of a fuzzy logic controller-based photovoltaic-fed multi-level inverter for a three-phase induction motor (2021)
  20. Charan, Godavarthi; Sampath, Dasa; Praneeth, V. N. Siva; Kumar, Y. V. Pavan: Improving transient response of Ćuk converters using artificial neural network based controller (2021)

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