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Optimal control theory in practical applications often requires the feedback of all state variables or the design of state estimators. In this paper the optimal feedback controller/estimator structure is implemented by output feedback transfer functions to simplify the feedback system structures and to reduce the on-line computational requirements.
The system identification procedure is developed for a class of linear discrete-time systems. It is assumed that the state vector measurements are available. Applications of this procedure to parameter identification of different system structures are proposed.
New design techniques based on reduced-order system models are developed for pole placement and observer design. The system model consists of dominant part and parasitic part of a two-time-scale plant. The transfer function of this reduced-order model is also analyzed.
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