I'm going to test first learnings making the typical pendulum test. But I have only 1 slave now (1 sensor=MPU & 1 actuator=servo). I need other slaves to offer more sensors (without actuators for this configuration).
I wan't overload slaves making many things and anyway I will need to add other slaves with different sensors (ADC, etc...).
getting data, inference, sending action... and now calculate reward though OpenCV and apply the backward.
I'm going to place the Plot class (Graph Class based too) to show the error and I'm going to make a lot of OpenCV enhancement for the reward system, apart of much refactoring..
All is based in GPU graphs, even the UI and the combinational logic simulator. Neural network was firsts but this use GPU adjacency matrix to perform more inputs quickly than the 8 input/outputs of the combinational logic simulator (without adjacency matrix)
I'm going to make two instrumentation amplifiers with OPAMPs to have differential probes to get the diode curves that also can be usefully to be able do some test over my custom compounds and know if I have some something interesting :)
TL084 as instrumentation amplifier and voltage reference
Better results with symetrical source.
Even with capacitors I have something like a diode curve.
I have put a little more impedance to test this function generator but also I get nice sensibility without them for other purposes
while I'm waiting my JBC substitution I continue learning about amplifications
FM antenna 50Ω -> TL 50Ω -> LC net 50Ω-391Ω -> CE 391Ω-180Ω -> LC net 180Ω-1815Ω -> CE 1815Ω-180Ω I want maintain RC=180Ω to check but +Ω is better for CE I think (to get the voltage gain or according to end use)
more EC tests adding L-section impedance matching and decoupling capacitor