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   Fractional Order Discrete State-space System Identification and Control   [View] 
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 Author(s)   A. DzieliƱski, D. Sierociuk 
 Abstract   The paper is devoted to the application of Fractional Calculus concepts to modeling, identification and control of discrete-time systems. Fractional Difference Equations (FE) models are presented and their use in identification, state estimation and control context is discussed. The Fractional Difference state space model is proposed for that purpose. For such a model some stability issues are raised and simple stability conditions are given. A Fractional Kalman Filter (FKF) for this model is recalled. The proposed state-space model is used in an identification procedure which produces a very accurate results. Finally, the state-space models are used in state-feedback control. The latter is also given in an adaptive form together with FKF as a state estimator and a modification of Recursive Least Squares (RLS) algorithm as a parameters identification procedure. All the algorithms presented were tested in simulations and the example results are given in the paper. 
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Filename:242
Filesize:138.8 KB
 Type   Members Only 
 Date   Last modified 2006-02-08 by System