I am slightly confused about why you need u(t) * B here? what what is a(t) ? ( i.e. your value for u(t) ) - since you cannot apply a force the bird - shouldn't acceleration be part of the state?
great tutorial, thanks! Now there is something I don't get. You say that cov(P,V)=std(P)*str(V). From looking at the definitions of cov and std, I don't understand how this can betrue. Are you assuming sometehing we don't know? thanks again, really nicely done
Thanks a lot for the informatinve video. I was wondering since the ninja is using the kalman filter algorithm, how come he has access to the acceleraation of the quail?
Also, pls email me the code @ zhang.feng16@yahoo.com
I must say you did you great job man. You simply rock :D
Great lecture, but isn't there a small error in the measurement position prediction matrix? At time 07:40 you add P at t-1 and V at t-1 into the Xbar at t matrix, shouldn't these be P at t and V at t instead?
@BluelightUAV ack! yes..you are correct.. wish there was a way to send a cookie online :)... thx for noticing! it's the predicted measurement..so it's the prediction at time t...not a prediction about the past...lol..we already know the past :) thx again
Instead of a quail, I have a gyro on a plane. The gyro is measuring angular rate change about the fuselage - if a wing goes up the gyro will measure this, and my motor command, will move it back. Where you have 2 equations (quail position and vel) I propose to have only one describing the angular rate (AR) of my wing as: AR (at t) = AR (at t-1) - Acceleration (at t) * t. My acceleration is that of the angular rate (ie its change caused by my control signal). Reasonable?
@TheScienceguy3000 Can you please me the code at zhang.feng16@yahoo.com I love your explanantion and really want to understand this . please help! I will really appreciate it. Now that you have explained the concept so well, pleaese please help!
thanks! i fixed it, and, yea, I need a better camera, and a better hand :P. C is a coefficient, check out the third vid too see it all again, should make it clearer, else, just shoot me a message. thx!
I am slightly confused about why you need u(t) * B here? what what is a(t) ? ( i.e. your value for u(t) ) - since you cannot apply a force the bird - shouldn't acceleration be part of the state?
gravisan 1 week ago
you have a radical imagination :D
Jdjagjmdat 3 weeks ago
Hello internet! :) See channel bulletin for links to code!
TheScienceguy3000 1 month ago
At time 9:30
how come Ex is a 2x2 matrix and you are adding this to 2x1 columns in top equation?
blogger45 2 weeks ago
great tutorial, thanks! Now there is something I don't get. You say that cov(P,V)=std(P)*str(V). From looking at the definitions of cov and std, I don't understand how this can betrue. Are you assuming sometehing we don't know? thanks again, really nicely done
MrTruquete 1 month ago
you make elec systems intracractive keep on
varungargg8 4 months ago
you say "matrices" when you mean to say "matrix" and it's sort of confusing at times
benzbubblecat 5 months ago
Thank you it was very informative
amiyaiitkgp 5 months ago
Hi Scienceguy :D
Thanks a lot for the informatinve video. I was wondering since the ninja is using the kalman filter algorithm, how come he has access to the acceleraation of the quail?
Also, pls email me the code @ zhang.feng16@yahoo.com
I must say you did you great job man. You simply rock :D
Zhang
Zhangfeng16ify 6 months ago
very pedagogical lecture set, thanks alot i really like this way of teaching,
you may will be a great proffesor in future, good luck.
kindly send me the matlab code:
quantum_track2001@yahoo.com
thanx.
hamato142 6 months ago
Great lecture, but isn't there a small error in the measurement position prediction matrix? At time 07:40 you add P at t-1 and V at t-1 into the Xbar at t matrix, shouldn't these be P at t and V at t instead?
BluelightUAV 7 months ago
@BluelightUAV ack! yes..you are correct.. wish there was a way to send a cookie online :)... thx for noticing! it's the predicted measurement..so it's the prediction at time t...not a prediction about the past...lol..we already know the past :) thx again
TheScienceguy3000 7 months ago
@TheScienceguy3000
Instead of a quail, I have a gyro on a plane. The gyro is measuring angular rate change about the fuselage - if a wing goes up the gyro will measure this, and my motor command, will move it back. Where you have 2 equations (quail position and vel) I propose to have only one describing the angular rate (AR) of my wing as: AR (at t) = AR (at t-1) - Acceleration (at t) * t. My acceleration is that of the angular rate (ie its change caused by my control signal). Reasonable?
BluelightUAV 7 months ago
@TheScienceguy3000 Can you please me the code at zhang.feng16@yahoo.com I love your explanantion and really want to understand this . please help! I will really appreciate it. Now that you have explained the concept so well, pleaese please help!
Zhangfeng16ify 4 months ago
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alquiora 8 months ago
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alquiora 8 months ago
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alquiora 8 months ago
thank u sooooo much , the way u explained is "AWESOME " totally out of the box .
thank you for this wonderful contribution of yours for students like us.
coolzorex 8 months ago
@qasmii sure thing, just message me your email (probably don't wanna put it here, unless your love spam :)
TheScienceguy3000 8 months ago
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alquiora 9 months ago
at the end the link to part 3 says "Video removed by user, sorry about that" but if you pick part 3from the list on the right side it works.
I had trouble reading the 't' and 'z' subscript and what was 'C' ?
iBradleyAllen 9 months ago
@iBradleyAllen
thanks! i fixed it, and, yea, I need a better camera, and a better hand :P. C is a coefficient, check out the third vid too see it all again, should make it clearer, else, just shoot me a message. thx!
TheScienceguy3000 9 months ago
He's gonna use the kalman filter to track the quail XD
Hex0x539 10 months ago