A new generalized vector observation for discrete-time delay systems identification

This paper suggests a new approach for simultaneous recursive identification of an unknown time delay and dynamic parameters of discrete-time delay systems. The proposed algorithm is based on a new formulations allowing to admit the unknown time delay in the parameter vector. The recursive least-squares method is then used to solve the obtained system. A simulation study is included to illustrate the merit of our algorithm.