MATLAB: System identification: get estimated initialState

system identificationSystem Identification Toolbox

Hi, i am using greyest to estimate the parameters of a system. The initial state is also unknown therefore I use the option to estimate them. Is there a way to read out those inital states?

regards, Frank.

Best Answer

You need to use this function.

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MATLAB: Multi-agent deep reinforcement learning

Assuming you are training multiple agents in Simulink using the Reinforcement Learning Toolbox in R2020b:

The rewards are calculated by the environment, not the agent algorithm so they should not be affected unless the environment is changing them. When you compare rewards between single and multi-agents please ensure that the state-action pairs are the same. Rewards depend on states and actions and you may get different results for different state-action pairs.
In R2020b, the agent neural networks are updated independently.

MATLAB: Linear Grey-Box system identification: idgrey()

The 'cd' option is to support the use case where you want to specify your own discretization formula (not use the standard c2d formulas). In your case, you should declare the file type to be 'c'. The greyest algorithm will take care of any required discretizations internally. Note that the discretization scheme is either zoh or foh dependeing upon your data's InterSample property value.

So the process is quite straightforward:

model = idgrey(file, initial_parameters, 'c');
model2 = greyest(data, model);

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