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Adaptive pole-placement control with filtered states and steady-state disturbance rejection

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1 Author(s)
Omani, F.K. ; Dept. of Electr. & Electron. Eng., Univ. of Sci. & Technol., Kumasi, Ghana

Proposes an algorithm for adaptive pole-assignment control using filtered state estimates for state feedback, instead of the traditional one-step prediction states. This results in the perturbation of the closed-loop zeros, in such manner as to ensure a significant reduction in the closed-loop output variance after pole assignment. The estimation and control algorithms are also modified to eliminate steady-state offsets to nonstationary disturbances.

Published in:

Control Theory and Applications, IEE Proceedings D  (Volume:136 ,  Issue: 1 )