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 704 articles , 1 standard article )

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  1. Shafai, Bahram: System identification and adaptive control (to appear) (2024)
  2. Altun, Yener: Improved results on the stability analysis of linear neutral systems with delay decay approach (2020)
  3. Altun, Yener; Tunç, Cemil: On the asymptotic stability of a nonlinear fractional-order system with multiple variable delays (2020)
  4. Angermann, Anne; Beuschel, Michael; Rau, Martin; Wohlfarth, Ulrich: MATLAB -- Simulink -- Stateflow. Foundations, toolboxes, examples (to appear) (2020)
  5. Bhaumik, Shovan; Date, Paresh: Nonlinear estimation. Methods and applications with deterministic sample points (2020)
  6. 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)
  7. Chaudhry, Afraz Mehmood; Arshad Uppal, Ali; Alsmadi, Yazan M.; Bhatti, Aamer Iqbal; Utkin, Vadim I.: Robust multi-objective control design for underground coal gasification energy conversion process (2020)
  8. Fraser, Douglas; Giaquinta, Ruben; Hoffmann, Ruth; Ireland, Murray; Miller, Alice; Norman, Gethin: Collaborative models for autonomous systems controller synthesis (2020)
  9. Lin, Xinyou; Li, Xuefan; Shen, Ying; Li, Hailin: Charge depleting range dynamic strategy with power feedback considering fuel-cell degradation (2020)
  10. Malik, Avinash; Roop, Partha: A dynamic quantized state system execution framework for hybrid automata (2020)
  11. Wei, Honggui; He, Yilin; Wei, Longlong; Zhang, Dayu; Ye, Yiming: Strategy of multi-objective adaptive cruise control system with variable weight based on naive Bayesian algorithm (2020)
  12. Wiraszka, Michał Sławomir; Sakrajda, Piotr: Switching energy loss in fractional-order time-varying heat diffusion model (2020)
  13. Adamatzky, Andrew (ed.); Akl, Selim G. (ed.); Sirakoulis, Georgios Ch. (ed.): From parallel to emergent computing (2019)
  14. Altun, Yener; Tunç, Cemil: On the estimates for solutions of a nonlinear neutral differential system with periodic coefficients and time-varying lag (2019)
  15. 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)
  16. Asadi, Farzin; Bolanos, Robert E.; Rodriguez, Jorge: Feedback control systems. The MATLAB/Simulink approach (2019)
  17. Ashraf, Naveed; Izhar, Tahir; Abbas, Ghulam: A single-phase buck-boost matrix converter with low switching stresses (2019)
  18. Báez-López, José Miguel David; Báez Villegas, David Alfredo: MATLAB handbook with applications to mathematics, science, engineering, and finance (2019)
  19. Bélai, Igor; Huba, Mikuláš; Burn, Kevin; Cox, Chris: PID and filtered PID control design with application to a positional servo drive. (2019)
  20. 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)

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