I am familiar with classical process control but not very experienced or up-to-date on the state of the art. I imagine a situation where you have a controller and a plant: What is it called when you cannot be sure that the control signals are executed by the plant?
They may not be executed at all, or they may only be partially executed. After a possible time delay, the controller knows whether / to which extent the signal was executed.
SmartProSys Research Insights: Chemists and process engineers from Magdeburg University together with researchers at Greifswald University are using enzymes and medium engineering to modify the product spectrum during PET depolymerization.
https://chemistry-europe.onlinelibrary.wiley.com/doi/10.1002/cssc.202401759
#enzyme #biocatalysis #polymer #plastics #depolymerization #reactionengineering #greenchemistry #selectivity #processcontrol
Jan von Langermann | Christof Hamel | Uwe Bornscheuer | Ren Wei | Tobias Heinks | Luise Blach
From the 1973 British Sub Aqua Club - the “incident pit” concept. It’s not literal depth, but the idea is the further you get into a series of bad events the more dangerous things get. You need to act decisively and calmly before you get pulled too deep!
Is it possible to draw a #Bode diagram using just #julialang? Yes! And it’s very easy.
```julia
using Plots
using DSP:unwrap!
G(s) = 3/(2s^2+s+1)*exp(-.5s)
x(ω) = real(G(im*ω))
y(ω) = imag(G(im*ω))
AR(ω) = √(x(ω)^2 + y(ω)^2)
φ(ω) = atan(y(ω)/x(ω))*180/pi
ω = 10.0.^(-1:0.001:1);
plot(ω, AR, xscale=:log10, yscale=:log10, xlabel="ω", ylabel="AR", legend=false)
φᵤ = unwrap!([φ(i) for i in ω]);
plot(ω, φᵤ, xscale=:log10, xlabel="ω", ylabel="φ", legend=false)
```
