Thank you for your question, please keep your mind open when reading this answer:
Right Now im uploading a youtube video explaining just that (how to apply my theory in the real world), but I will still answer it here so for clarification I recommend you to visit the video
this is my YouTube channel: https://www.youtube.com/channel/UCIVjkWQa42cJAr3oBnh7O1Q
ok my theory is based that anything that you want to describe is focuser specific, so nothing exist if it is not focused (seen) by a focuser, so every focuser has limits like a camera has a limit on the resolution of its photos, if you want to predict a geostationary orbit my theory says that there is only one correct way of doing it which is that you need to focus its energy organization, so how to do that basically looking at how it behaves in order to know the energy organization parameter traditionally know as mass and acceleration in Newtonian physics, but here those parameters are threaten as energy organization, so what my theory says is that it has a different way of predicting every geostationary orbit which depends on the information the focuser can 'collect' about the system.
So it is algorithm specific, but to demonstrate this I have created an example which means a way of doing it which is as follows:
It says the most photos you take the most precision your prediction will have, which is different from Newton or Einstein in which the precision is limited by the equation.
So the thought experiment starts here:
To describe a geostationary orbit you look at the orbit and every time that you find the object has a new position (which depends on the hardware implementation) you take a photo
So you will describe the earth and the satellite in terms of its 2d size in the photo like a two dimensional array of bits (watch the video for a graphic view), in which the earth has a size of (for example) 100 and the satellite a size of 1, here size means volume that you can see in a photo which is 2d volume if you like, then you have an energy organization map which can be represented as coordinates of a 2d plane, so you do this for every frame, remember a new frame occurs when the observer notices the map has changed and takes a photo of it, ok so you have a lot of frames, so in simpler words you have a video in which you know how the energy map behaves and you timestamp each frame like saying the second frame occurred 10 seconds after the first one, the third frame occurred 5 seconds after the second one and so on, so then you have a map, so now you use that map to determine the future of the system by seeing the data you collected, so for example the data shows you that the satellite energy organization has a function with the earth's energy organization and for example that data suggests you a custom version that looks like F=ma, that is true only for this system with a limited level of precision as always, it is not universal.
So think in general classic terms the system will tell you that two systems that are the same from the point of view of Newton can behave in different way, this means that mass and acceleration is not enough to determine it because two objects with the same mass and acceleration which is enough to say they are the same in Newtonian physics, so my theory says that mass and acceleration are simply not enough to know if to objects are the same, what you need to know is its energy organization, to clarify this image two systems that are the same for newton, so what my theory says is that the newton law will break after a "time" because the different organization makes one system to change its "mass" in a different way than the other, so if you apply newton after some time on both systems you will found that the systems are not the same and you don't know why, because newton f=ma is not enough to describe it.
Since my theory takes in account only the easiness of density change if you like you will have parameters like a measure of the force in Newtonian physics which is given by how easy is for the system of two objects to become one object and that easiness is what determines the orbit of the satellite, that easiness can only be defined by watching the system's behavior.
So if you take a frame of reference you can describe it as the ''time'' of each orbit, and how it varies from orbit to orbit and simply you create an equation that satisfies that like a function of something that something is the behavior of the system.
Which is a video so basically you watch the video and predict what will happen next in the video by analyzing the easiness of the system to become denser and also if is the case how that easiness changes in "time".
like f(x), for every system you focus, that f(x) is defined by observation, and saying the observation suggest this amount of difficulty for this objects to merge, this is not a concrete way of solving your problem, so you may spected something like f=ma, but the most important fact about my theory says that you simply cannot define such equation and spect to be universal, because it all depends on the info the observer has of the system that info changes a lot if you are in a different "neighborhood" (check video).
So I used the word time in this answer but my theory says that time does not exist so I use time because I don't have a word that would represent a frame of reference of the implementation, so I use time as a tool to do calculations but time does not exist in reality so time is just a word to define a concept not a physical part of the universe.