In this paper, a new system identification method is proposed using a real-coded genetic algorithm(GA), which the operating data, that is, closed-loop data, is utilized. Not only system parameters but also control parameters are estimated using the real-coded GA. Then, since control parameters are known, the reliability of estimates is evaluated in comparison of the estimates with true control parameters. In order to evaluate the effectiveness of the proposed scheme, it is employed for the sway control of crane system.
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