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 791 articles , 1 standard article )

Showing results 1 to 20 of 791.
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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. Altun, Y.; Tunç, C.: On the exponential stability of neutral linear systems with variable delays (2021)
  4. Bozzano, Marco; Cimatti, Alessandro; Gario, Marco; Jones, David; Mattarei, Cristian: Model-based safety assessment of a triple modular generator with xSAP (2021)
  5. Bratishchev, Aleksandr Vasil’evich: Qualitative analysis of the equation of motion of the “mobile platform with a pendulum” system (2021)
  6. 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)
  7. 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)
  8. Christopher, Alwin Vinifred; Rengaswamy, Ramesh: Fast synchronization of distributed generators with power grid under transient conditions using hybrid optimization algorithm (2021)
  9. Cuevas, Felizardo; Castillo, Oscar; Cortes, Prometeo: Control strategies based on interval type-2 fuzzy logic for autonomous mobile and humanoid robots (2021)
  10. De Becker, Kobe; Michiels, Koen; Knoors, Stein; Waldherr, Steffen: Observer and controller design for a methane bioconversion process (2021)
  11. Falcone, Alberto; Garro, Alfredo; Mukhametzhanov, Marat S.; Sergeyev, Yaroslav D.: A Simulink-based software solution using the infinity computer methodology for higher order differentiation (2021)
  12. Fuentes, Marcos; Castillo, Oscar; Cortés-Antonio, Prometeo: Review of fuzzy control for path tracking in the robotino system (2021)
  13. Gutowski, Paweł; Leus, Mariusz: Estimation of the tangential transverse vibrations effect on the friction force with the use of LuGre model (2021)
  14. He, Zongru; Chen, Songlin; Sun, Zhengyi; Wang, Libin; Ma, Kemao: Twisting sliding mode extremum seeking control without steady-state oscillation (2021)
  15. Iannuzzi, Diego; Franzese, Pasquale: Ultrafast charging station for electrical vehicles: dynamic modelling, design and control strategy (2021)
  16. Ji, Yuehui; Zhou, Hailiang; Che, Shixing; Gao, Qiang: Recurrent neural network-based optimal attitude control of reentry vehicle (2021)
  17. Lanotte, Ruggero; Merro, Massimo; Munteanu, Andrei: A process calculus approach to detection and mitigation of PLC malware (2021)
  18. Malik, Avinash: Adaptive step size numerical integration for stochastic differential equations with discontinuous drift and diffusion (2021)
  19. Pinheiro Neto, Joana; Alho, Irina; Costa, Luís; Casimiro, Sandra; Valério, Duarte; Vinga, Susana: Dynamic modeling of bone remodeling, osteolytic metastasis and PK/PD therapy: introducing variable order derivatives as a simplification technique (2021)
  20. Qian, Kai; Gao, Feiling; Zhou, Xuntian; Shao, Xuefeng; Li, Jin; Wen, Buying: Adaptive virtual inertia control strategy of VSG for micro-grid based on improved bang-bang control strategy (2021)

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