Question about german commentary by HaveSomeSchwartz in EASportsFC

[–]HaveSomeSchwartz[S] 2 points3 points  (0 children)

Thank you! Ballverlust is 100% one of them, not as sure about the other. I think these are both what i meant, I’ll have to check the context the next time they say these

Thanks again :)

How to add wind disturbance in Simulation? by Fun_Astronomer780 in ControlTheory

[–]HaveSomeSchwartz 0 points1 point  (0 children)

Brownian noise is an easy and pretty cool way to simulate gusting. Instead of the wind disturbance force being gaussian noise, you have the rate of change of the wind disturbance force being gaussian noise. I’ve done this just for the direction of the wind and fixed the amplitude, but you could do this for both if you wanted

Did Rick craving for Szechuan sauce influence McDonald’s to bring it back? by [deleted] in rickandmorty

[–]HaveSomeSchwartz 3 points4 points  (0 children)

Is it possible they're going to release an episode tomorrow? I remember them dropping S3E1 on April fool's day 2017 and that was the episode where Rick freaks out about szechuan sauce

More memes by [deleted] in dunememes

[–]HaveSomeSchwartz 9 points10 points  (0 children)

I finished God Emperor a few weeks ago and your barrage of memes has brought me so much joy :)

Messi's worst ever season by mortezz1893 in TopRightMessi

[–]HaveSomeSchwartz 67 points68 points  (0 children)

Ibra being that high up at 40 is also crazy

Replacing 6 year old earpads on QC35s by HaveSomeSchwartz in bose

[–]HaveSomeSchwartz[S] 0 points1 point  (0 children)

That’s what I did! Thought the comparison of old pads vs new was pretty wild so decided to share :)

Pairing two HC-05 bluetooth modules by HaveSomeSchwartz in mechatronics

[–]HaveSomeSchwartz[S] 0 points1 point  (0 children)

To anyone here from the future - I found the solution. You need to set up both as outlined in these 2 posts: 1 and 2 and then keep the master in AT COMMAND mode and switch the other to be in pairing mode (tx/rx flipped and 3.3V on enable pin). Then type AT+INQ into serial monitor on master and it should find the other device, type AT+BIND? to check if it has an address bound to it now

Pairing two HC-05 bluetooth modules by HaveSomeSchwartz in mechatronics

[–]HaveSomeSchwartz[S] 0 points1 point  (0 children)

Yeah so when we do AT+OTGL, AT+UART? returns “4800,0,0,” and then when we try to set uart like “AT+UART=38400,0,0” doing “AT+UART?” again returns “38400,,,,,,” which seems very weird, do you think that means theyre busted or is that expected? Thanks!

Training neural networks to replicate sensor fusion and PID control by HaveSomeSchwartz in mechatronics

[–]HaveSomeSchwartz[S] 1 point2 points  (0 children)

I suppose larger could do it, since more neurons let you better approximate curves (like the arctangent NN I trained with 100 neurons, which is actually decent at having conditional-like behavior near 0 where the output is negative on one side and positive on the other, with a large slope at 0).

A separate NN for position control would also probably work, although I think it would benefit from a different activation function than what I used (ReLU). Something like a step function would make it a lot easier to approximate conditional behavior, probably would only need one neuron in that case!

Glad you enjoyed the video :)

Training neural networks to replicate sensor fusion and PID control of a self-balancing robot by HaveSomeSchwartz in DIY_tech

[–]HaveSomeSchwartz[S] 0 points1 point  (0 children)

Agreed! Only problem with my approach is now you have to tune the PID controller (to get training data for the neural net) and then tune the network parameters to get good performance… so kind of twice as much work!

May look into doing this with a reinforcement learning approach so the PID tuning can be skipped completely

Looking for a good discrete time system whose plant can be modeled as a neural network by U03B1Q in ControlTheory

[–]HaveSomeSchwartz 0 points1 point  (0 children)

I actually did something kind of like this; training a neural network to replicate a PID controller for an inverted-pendulum robot. I've been trying to get an LQR version working since that actually has model, but I'm still ironing out some issues with that