1 Help on properties of the Discrete Additive Non-Linear (DANL) model.
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4 Data object representing f(x,t).
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7 Data object representing gw(x,t).
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10 Data object representing gu(x,t).
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13 Data object representing h(x,t).
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16 Data object representing hu(x,t).
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19 A row vector or scalar containing the initial state estimate. x0(i) represents the initial
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20 estimate of state i.
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23 Noise object representing the process noise w(t).
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26 Noise object representing measurement noise e(t).
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29 Noise object representing the initial process noise, p0.
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35 A cell array containing the names of the states.
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38 A simple description of the object.
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41 The covariance matrix R, representing the covariance of the process noise w(t).
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44 The covariance matrix Q, representing the covariance of measurement noise e(t).
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47 The covariance matrix P0, representing the covariance of p0.
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