LTPDA Toolbox™ |
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The model to use for the estimation of the parameters can be constructed in a similar way
as we did before when we simulated the signals. The difference is that the parameters
to be estimated must remain symbolic. This is achieved with the `'SYMBOLIC PARAMS'`
key of the plist. The model must be continuous.

% cell array contains the names of the parameters. params = {'FEEPS_XX', 'CAPACT_TM2_XX', 'IFO_X12X1', 'EOM_TM1_STIFF_XX', 'EOM_TM2_STIFF_XX'}; %% built ssm model model = ssm(plist('built-in', 'LTP', ... 'DIM', 1, ... % dimensions of LPF model 'CONTINUOUS', 1, ... % Continuous or descrete 'SYMBOLIC PARAMS', params, ... % symbolic parameters to estimate 'VERSION', 'Standard')); % Version of the LPF %% save fitting model save(model, 'fitting_model.mat');

We can view all available information about the model if we type `model.viewDetails`
in the command window. First of all, the structure of the SSM LTP model is
presented and then the available inputs and outputs of the system.

>> model.viewDetails

Create simulated experiment data sets | Calculate expected covariance of the parameters (FIM) |

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