Mohammad Ali Arsyad bin Mohd Shuhaimi

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Control relevant system identification deals with developing a dynamic model that can be used for design of a controller from experimental data. In this paper an iterative technique based on orthonormal basis filters is used to develop reduced complexity, control relevant models from input-output data that is corrupted with noise. It is also shown that a(More)
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