http://janismac.github.io/ControlChallenges/

[                    ]
Errors & Warnings

[Title]

[Description]

Note: Your code for each level is saved in your browser.

  Start   Level menu

Level Complete!

You solved the level in seconds.

OK   Level menu

Select a level

You can predict the future of the system by calling simulate(dt,
controlFunc) on the model state. Example:

// Simulates for 0.5 seconds. The input for the model is set to be the negative of its `x`.
newState = state.simulate(0.5, function(s){ return -s.x ;})

simulate() returns a modified copy of the model state.
The control function will be evaluated only once at the start of a
simulate() call
and held constant during the simulation, so choose a small dt.

You can view your own variables by calling `monitor(name,value)`.

If you need to, you can use global variables.
You will have to declare them outside your function with the 'var'
keyword.

[piwik]