Anything technical could appear in this section -- other than technical climbing.
The latest addition: It is hard to find good information on
the Web about effective ways to estimate derivatives from measured data.
Classical methods based on exact polynomial fitting have horrible noise
sensitivity, while methods with better noise properties compromise on
accuracy. Some experiments led to two new design approaches, both of
which are actually very old design approaches with a few more details
worked out. To see exactly what that means, you will have to
check the pages.
Which is better, PID control or state space control? Perhaps this begs the real question. This page discusses how you can have both!
This note describes a novel approach to additive synthesis
"pink noise" using multiple non-white random
generator stages. Though not the fastest known method, it is very close,
with additional advantages of being simpler to program, particularly with
fixed-point embedded processors, and much better spectral accuracy.
This is is suitable for test signal generation and digital music applications.
Here is an alternative to the usual prematurely linearized models typiclly used to represent a hydraulic actuator for nonlinear control systems. I think this might be a significant improvement, but who will ever know, this has never been tried! (Most systems continue to use a classic model with constant, linear compression through full range up to absolute "hard limits" of travel. These questionable approximations can cause all kinds of unpleasant side effects when using the model for analysis and control purposes.)
How to determine a center point offset from a nominally
circular element so that maximum and minimum deviations from
this adjusted point are bounded as tightly as possible. This is
known as "the zone circularity problem"
and is one way to test whether a part is manufactured within
tolerance.
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Last updated... Oct 5, 2003