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The problem of estimating parameters of linear control valve with hysteresis is considered. The hysteretic behavior of control valve, which is modelled as a switched linear model, is identified by a subspace decomposition technique. Via spectral clustering on subspace, the noisy data of control valve are classified into separate sets, each corresponding to up-trip mode and down-trip mode respectively...
The problem of estimating parameters of switched affine systems with noisy input-output observations is considered. A subspace technique is proposed to exploit the observations' permutation structure, which transforms the problem of associating observations with subsystems into one of de-permutating a block diagonal matrix. Then a spectral clustering algorithm is presented to recover the block structure...
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