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This document discusses discrete identification models for system identification. It begins by introducing discrete state space models, which are needed because sensor outputs and force inputs are recorded as discrete numbers in modern measurement. A simple discrete approximation is presented using zero-order hold input. The discrete forms of the internal variable, state space model, output sequence, and Markov parameters are then defined. The document concludes by introducing a state observer model that ca

Author

sam

Language

EN