Identification and output tracking control of Hammerstein systems through wireless networks

Weihua Deng, Kang Li, Minrui Fei

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)


his paper investigates the identification and output tracking control of a class of Hammerstein systems through a wireless network within an integrated framework and the statistic characteristics of the wireless network are modelled using the inverse Gaussian cumulative distribution function. In the proposed framework, a new networked identification algorithm is proposed to compensate for the influence of the wireless network delays so as to acquire the more precise Hammerstein system model. Then, the identified model together with the model-based approach is used to design an output tracking controller. Mean square stability conditions are given using linear matrix inequalities (LMIs) and the optimal controller gains can be obtained by solving the corresponding optimization problem expressed using LMIs. Illustrative numerical simulation examples are given to demonstrate the effectiveness of our proposed method.
Original languageEnglish
Pages (from-to)3-13
Number of pages11
JournalTransactions of the Institute of Measurement and Control
Issue number1
Early online date25 Jun 2013
Publication statusPublished - Feb 2014

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