Machine Learning of Flight Control
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And finally the ILS, which is obviously the most complex.
Harold, of course, found a way to avoid all this complexity.
Here's a royally screwed up instrument approach. I'm actually a better pilot than this, but we were never trained to fly by keyboard. A joystick would have made a huge difference, but I didn't get around to that aspect.
Next up is some visualization of what's going on in the model. Some of the tests simply establish the correct coordinate system. Here it's pitch, roll, and yaw.
And there are other high-tech methods for establishing parameters, too.
Other tests are for the composition of objects.
But things can get more interesting. We didn't actually do all this, but it's part of my visualization system, including all the meta-information in the form of grids and spheres, etc.
Visualization is wonderful for showing dynamic, emergent properties. This is actually a fish from my Artificial Intelligence course.
And some bees.
My brother managed to modify the output of one of these years ago on a variant of my dissertation. Dad gets the kill.
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