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 323 articles , 1 standard article )

Showing results 1 to 20 of 323.
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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. Cao, Yang; He, Dengbo; Yu, Fan; Luo, Zhe: Generalized predictive control based on vehicle path following strategy by using active steering system (2016)
  6. Chasparis, Georgios C.; Maggio, Martina; Bini, Enrico; Årzén, Karl-Erik: Design and implementation of distributed resource management for time-sensitive applications (2016)
  7. Dimirovski, Georgi M. (ed.): Complex systems. Relationships between control, communications and computing (2016)
  8. Guidorzi, Roberto: Positive output/state maps and quasi-positive realization of MIMO discrete systems (2016)
  9. Ha, Phi; Mehrmann, Volker: Analysis and numerical solution of linear delay differential-algebraic equations (2016)
  10. Izadbakhsh, Alireza: Robust control design for rigid-link flexible-joint electrically driven robot subjected to constraint: theory and experimental verification (2016)
  11. 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)
  12. Toda, Masayoshi: Robust motion control of oscillatory-base manipulators. $\mathcal H_\infty$-control and sliding-mode-control-based approaches (2016)
  13. Tunc, Cemil; Altun, Yener: Asymptotic stability in neutral differential equations with multiple delays (2016)
  14. Wang, Jinxiang; Dai, Mengmeng; Chen, Nan: Robust output feedback control for vehicle active front wheel steering system considering parameter uncertainties (2016)
  15. Wang, Timothy E.; Garoche, Pierre-Loïc; Roux, Pierre; Jobredeaux, Romain; Féron, Éric: Formal analysis of robustness at model and code level (2016)
  16. Wiik, Jonatan; Boström, Pontus: Contract-based verification of MATLAB-style matrix programs (2016)
  17. Xue, Dingyü; Chen, YangQuan: Scientific computing with MATLAB (2016)
  18. Xu, Enhua; Xu, Yan; Huang, Yufei: Adaptive fuzzy control for robot manipulators with uncertain load in task-space (2016)
  19. Zhang, Jian; Swain, Akshya Kumar; Nguang, Sing Kiong: Robust observer-based fault diagnosis for nonlinear systems using MATLAB (2016)
  20. Zhou, Pan; Wu, Wei: Helicopter flight dynamics model identification method with non-ideal noise (2016)

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