CONTINUOUS-TIME BILINEAR SYSTEM IDENTIFICATION USING REPEATED EXPERIMENTS
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A novel method is presented for the identification of continuous time bilinear system models, from the input output data associated with multiple experiments. Making use of the recent advances in bilinear system identification, the current work documents the advantage of utilizing multiple experiments and sets up a procedure to obtain bilinear system models. It is shown that the special pulse inputs employed by earlier research can be avoided and accurate identification of the continuous time system model is possible by performing multiple experiments incorporating a class of control input sequences. The algorithm presented here-in is more attractive in practice for the identification of bilinear systems. Numerical examples presented demonstrate the methodology developed in the paper.