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An approximate-predictor approach to reduced-order models and controllers for distributed-parameter systems

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1 Author(s)
Leland, R.P. ; Dept. of Electr. Eng., Alabama Univ., Tuscaloosa, AL, USA

Two reduced-order digital controllers for distributed parameter systems (DPS) are described. Reduced-order models approximate the optimal finite past predictor and error covariance for the full system to minimize an approximation to the Kullback-Leibler information distance (KLID). An LQG controller based on a reduced-order-system model is described. A reduced-order controller is found to minimize the KLID between the closed-loop system outputs with the full- and reduced-order controllers. Noncollocated control of a flexible beam is simulated

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Automatic Control, IEEE Transactions on  (Volume:44 ,  Issue: 3 )