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Author Topic: particle filtering tutorial  (Read 1847 times)

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Offline pomprockerTopic starter

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particle filtering tutorial
« on: August 05, 2008, 11:56:35 AM »
I want to learn this stuff:

trajectory, kinematic, and inverse kinematic

how to code closed loop systems like PID (proportional–integral–derivative controller)

bayesian and kalman filters


etc....

who can write up a member tutorial on it?

Offline sdk32285

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Re: particle filtering tutorial
« Reply #1 on: August 05, 2008, 05:43:10 PM »
I have a kalman filtering tutorial that will be up in a few days.

Here is a PID code segment from wikipedia:

previous_error = 0
I = 0
start:
  error = setpoint - actual_position
  P = Kp * error
  I = I + Ki * error * dt
  D = (Kd / dt) * (error - previous_error)
  output = P + I + D
  previous_error = error
  wait(dt)
  goto start
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Offline JesseWelling

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Re: particle filtering tutorial
« Reply #2 on: August 05, 2008, 11:48:50 PM »
I'm learning from this book. It's pretty good.The author won the first DARPA grand challenge.
I can't think of a better metric for the utility of a book than the author's application of the same knowledge in the real world...

 


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