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 766 articles , 1 standard article )

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  1. Shafai, Bahram: System identification and adaptive control (to appear) (2024)
  2. Alshabeeb, Israa Ali; Ali, Nidaa Ghalib: Optimization of fuzzy inference system based on particle swarm optimization to enhance the efficiency of system (2021)
  3. Bozzano, Marco; Cimatti, Alessandro; Gario, Marco; Jones, David; Mattarei, Cristian: Model-based safety assessment of a triple modular generator with xSAP (2021)
  4. De Becker, Kobe; Michiels, Koen; Knoors, Stein; Waldherr, Steffen: Observer and controller design for a methane bioconversion process (2021)
  5. He, Zongru; Chen, Songlin; Sun, Zhengyi; Wang, Libin; Ma, Kemao: Twisting sliding mode extremum seeking control without steady-state oscillation (2021)
  6. Iannuzzi, Diego; Franzese, Pasquale: Ultrafast charging station for electrical vehicles: dynamic modelling, design and control strategy (2021)
  7. Rolf Bork, Jonathan Hanks, David Barker, Joseph Betzwieser, Jameson Rollins, Keith Thorne, Erik von Reis: advligorts: The Advanced LIGO real-time digital control and data acquisition system (2021) not zbMATH
  8. Traver, José Emilio; Tejado, Inés; Nuevo-Gallardo, Cristina; López, Miguel A.; Vinagre, Blas M.: Performance study of propulsion of N-link artificial Eukaryotic flagellum swimming microrobot within a fractional order approach: from simulations to hardware-in-the-loop experiments (2021)
  9. Wu, Yuchi; Ding, Kemi; Li, Yuzhe; Shi, Ling: Optimal unbiased linear sensor fusion over multiple lossy channels with collective observability (2021)
  10. Xiao, Qi; Mattavelli, Paolo; Khodamoradi, Aram; Loh, Poh Chiang: Modelling and analysis of equivalent SISO (d)-(q) impedance of grid-connected converters (2021)
  11. Zulkeflee, Siti Asyura; Rohman, Fakhrony Sholahudin; Abd Sata, Suhairi; Aziz, Norashid: Autoregressive exogenous input modelling for lipase catalysed esterification process (2021)
  12. Abadi, Ali Soltani Sharif; Hosseinabadi, Pooyan Alinaghi; Mekhilef, Saad; Ordys, Andrzej: A new strongly predefined time sliding mode controller for a class of cascade high-order nonlinear systems (2020)
  13. Abhyankar, Shrirang; Betrie, Getnet; Maldonado, Daniel Adrian; Mcinnes, Lois C.; Smith, Barry; Zhang, Hong: PETSc DMNetwork: a library for scalable network PDE-based multiphysics simulations (2020)
  14. Altun, Yener: Improved results on the stability analysis of linear neutral systems with delay decay approach (2020)
  15. Altun, Yener; Tunç, Cemil: On the asymptotic stability of a nonlinear fractional-order system with multiple variable delays (2020)
  16. Angermann, Anne; Beuschel, Michael; Rau, Martin; Wohlfarth, Ulrich: MATLAB -- Simulink -- Stateflow. Foundations, toolboxes, examples (2020)
  17. Ayrir, W.; Ourahou, M.; El Hassouni, B.; Haddi, A.: Direct torque control improvement of a variable speed DFIG based on a fuzzy inference system (2020)
  18. Bhaumik, Shovan; Date, Paresh: Nonlinear estimation. Methods and applications with deterministic sample points (2020)
  19. Bratishchev, Alexander Vasil’evich: Control of fluctuations of pendulum on the mobile platform (2020)
  20. Bruni, Stefano; Meijaard, J. P.; Rill, Georg; Schwab, A. L.: State-of-the-art and challenges of railway and road vehicle dynamics with multibody dynamics approaches (2020)

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