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Observer-based fuzzy control for nonlinear networked systems under unmeasurable premise variables

Research output: Contribution to journalArticlepeer-review

Hongyi Li, Chengwei Wu, Shen Yin, Hak Keung Lam

Original languageEnglish
Article number7346459
Pages (from-to)1233-1245
Number of pages13
JournalIEEE Transactions on Fuzzy Systems
Issue number5
Early online date3 Dec 2015
E-pub ahead of print3 Dec 2015
Published1 Oct 2016


King's Authors


The problem of fuzzy observer-based controller design is investigated for nonlinear networked control systems subject to imperfect communication links and parameter uncertainties. The nonlinear networked control systems with parameter uncertainties are modeled through an interval type-2 (IT2) Takagi-Sugeno (T-S) model, in which the uncertainties are handled via lower and upper membership functions. The measurement loss occurs randomly, both in the sensor-toobserver and the controller-to-actuator communication links. Specially, a novel data compensation strategy is adopted in the controller-to-actuator channel. The observer is designed under the unmeasurable premise variables case, and then, the controller is designed with the estimated states. Moreover, the conditions for the existence of the controller can ensure that the resulting closed-loop system is stochastically stable with the predefined disturbance attenuation performance. Two examples are provided to illustrate the effectiveness of the proposed method.

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