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Control of Web server: an optimal experiment design for wavelet-based system identification approach

In this paper, the problems of modeling and control of the Web server were considered. By using a MIMO model and the wavelet based optimal experiment design methodology, we proposed a novel Web server control system. Our approach combined optimal input signal design, system identification and controller design together, it is a control-relevant identification method, and the model is very fit for controller design of the Web server, thus we can get a high performance control system. Finally, by the simulation of the Apache Web server, we show the effectiveness of our approach.