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 310 articles , 1 standard article )

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  1. Kharola, Ashwani; Patil, Pravin: A PID based ANFIS control of inverted pendulum climbing on inclined plane (2017)
  2. Landau, Ioan Doré; Airimiţoaie, Tudor-Bogdan; Castellanos-Silva, Abraham; Constantinescu, Aurelian: Adaptive and robust active vibration control. Methodology and tests (2017)
  3. Schweizer, Wolfgang: Simulating physical systems. Computational physics with MATLAB (2017)
  4. Shafai, Bahram: System identification and adaptive control (to appear) (2017)
  5. Chasparis, Georgios C.; Maggio, Martina; Bini, Enrico; Årzén, Karl-Erik: Design and implementation of distributed resource management for time-sensitive applications (2016)
  6. Dimirovski, Georgi M. (ed.): Complex systems. Relationships between control, communications and computing (2016)
  7. Guidorzi, Roberto: Positive output/state maps and quasi-positive realization of MIMO discrete systems (2016)
  8. Ha, Phi; Mehrmann, Volker: Analysis and numerical solution of linear delay differential-algebraic equations (2016)
  9. Izadbakhsh, Alireza: Robust control design for rigid-link flexible-joint electrically driven robot subjected to constraint: theory and experimental verification (2016)
  10. Khoygani, Mohammad Reza Rahimi; Ghasemi, Reza: Neural estimation using a stable discrete-time MLP observer for a class of discrete-time uncertain MIMO nonlinear systems (2016)
  11. Toda, Masayoshi: Robust motion control of oscillatory-base manipulators. $\mathcal H_\infty$-control and sliding-mode-control-based approaches (2016)
  12. Wiik, Jonatan; Boström, Pontus: Contract-based verification of MATLAB-style matrix programs (2016)
  13. Xue, Dingyü; Chen, YangQuan: Scientific computing with MATLAB (2016)
  14. Zhang, Jian; Swain, Akshya Kumar; Nguang, Sing Kiong: Robust observer-based fault diagnosis for nonlinear systems using MATLAB (2016)
  15. Azar, Ahmad Taher (ed.); Vaidyanathan, Sundarapandian (ed.): Chaos modeling and control systems design (2015)
  16. Azar, Ahmad Taher (ed.); Zhu, Quanmin (ed.): Advances and applications in sliding mode control systems (2015)
  17. Cao, Xuyang; Cao, Linlin; Wang, Dianlong: The exact linearization and LQR control of semiactive connected hydropneumatic suspension system (2015)
  18. Chalishajar, Dimplekumar; Chalishajar, Heena: Trajectory controllability of second order nonlinear integro-differential system: an analytical and a numerical estimation (2015)
  19. Erdogan, Nuh; Henao, Humberto; Grisel, Richard: An improved methodology for dynamic modelling and simulation of electromechanically coupled drive systems: an experimental validation (2015)
  20. Hartley, Edward N.; Maciejowski, Jan M.: Field programmable gate array based predictive control system for spacecraft rendezvous in elliptical orbits (2015)

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