I am trying to understand VENSIM functions like TREND in System Dynamics. Any suggestions? I have tried reading up a few papers but not fully comprehending what i am reading
VENSIM TREND Function in system dynamics
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The TREND function is an approximation for the GROWTH EXPECTATIONS of a forecaster. This is, given a particular input signal, an adjustment time and an initial idea of what the trend is, this functions has as output the EXPECTED GRADIENT (TREND) of the input signal.
I would suggest that complementary to reading, you should recreate the model suggested in the VENSIM help literature:
TREND(input, average time,initial trend)
which is equivalent to the functions:
TREND=ZIDZ(input-avval,average time*ABS(avval))
avval=INTEG((input-avval)/average time,input/(1+ini*averate time))
and where ZIDZ is a function
ZIDZ(A,B)
that returns A/B except when B is zero, then it returns 0.
System dynamics is a discipline famously known for giving a false sense of understanding only through reading. Systems have to be experimented with, as one of Jay Forrester's starting premises for de discipline was that our intuition mis-guides us into thinking we understand a system, when most real systems really very quickly behave counter-intuitively.

In his paper Expectation Formation in Behavioral Simulation Models John Sterman explain that the TREND
function can be thought of as an information processing procedure which takes as input a variable (including its past values) and produces as output a judgment of the current trend in the input variable. The value of TREND
is the expected rate of change in the input variable, expressed as a fraction of the input variable per time unit.
Into the help of Vensim and AnyLogic softwares we read only that TREND
function provides a trend estimative for variables always positive and that don’t get very close to zero.
John Sterman has an MIT Working Paper that describes the origins of the TREND function. It may be available online.
These two references will also help: Sterman, John D. 1987. Expectation Formation in Behavioral Simulation Models. Behavioral Science, 32:190-211. Sterman, John D. 2000, Business Dynamics, Boston, MA: McGraw-Hill. Chapter 16.
Also: https://ceprofs.civil.tamu.edu/dford/dnf%20profesional/TipPtAppdxCForecast-SDR.pdf