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  2. Simulink - Wikipedia

    en.wikipedia.org/wiki/Simulink

    Simulink is a MATLAB-based graphical programming environment for modeling, simulating and analyzing multidomain dynamical systems. Its primary interface is a graphical block diagramming tool and a customizable set of block libraries .

  3. SimEvents - Wikipedia

    en.wikipedia.org/wiki/SimEvents

    Since the two programs are within the same tools environment, it is straightforward to generate custom random distributions of input tasks, optimize a process, as well as to generate custom statistics. [5] SimEvents and Simulink can be used in the same simulation model to simulate hybrid or multi-domain systems that have both time-based and ...

  4. Discrete-event simulation - Wikipedia

    en.wikipedia.org/wiki/Discrete-event_simulation

    The simulation must keep track of the current simulation time, in whatever measurement units are suitable for the system being modeled. In discrete-event simulations, as opposed to continuous simulations, time 'hops' because events are instantaneous – the clock skips to the next event start time as the simulation proceeds.

  5. MathWorks - Wikipedia

    en.wikipedia.org/wiki/MathWorks

    MathWorks's Simulink software was found to have infringed 3 patents from National Instruments related to data flow diagrams in 2003, a decision which was confirmed by a court of appeal in 2004. [17] In 2011, MathWorks sued AccelerEyes for copyright infringement in one court, and patent and trademark infringement in another.

  6. List of probability distributions - Wikipedia

    en.wikipedia.org/wiki/List_of_probability...

    It is ubiquitous in nature and statistics due to the central limit theorem: every variable that can be modelled as a sum of many small independent, identically distributed variables with finite mean and variance is approximately normal. The normal-exponential-gamma distribution; The normal-inverse Gaussian distribution

  7. Bernoulli distribution - Wikipedia

    en.wikipedia.org/wiki/Bernoulli_distribution

    In probability theory and statistics, the Bernoulli distribution, named after Swiss mathematician Jacob Bernoulli, [1] is the discrete probability distribution of a random variable which takes the value 1 with probability and the value 0 with probability =.

  8. Model predictive control - Wikipedia

    en.wikipedia.org/wiki/Model_predictive_control

    This is the optimal solution to linear robust control problems, however it carries a high computational cost. The basic idea behind the min/max MPC approach is to modify the on-line "min" optimization to a "min-max" problem, minimizing the worst case of the objective function, maximized over all possible plants from the uncertainty set. [19]

  9. Stateflow - Wikipedia

    en.wikipedia.org/wiki/Stateflow

    Stateflow (developed by MathWorks) is a control logic tool used to model reactive systems via state machines and flow charts within a Simulink model. Stateflow uses a variant of the finite-state machine notation established by David Harel, enabling the representation of hierarchy, parallelism and history within a state chart.