Abstract

Tensor product model transformation based fuzzy observer design for the unmanned helicopter is studied in this work. Different from the traditional Takagi-Sugeno (TS) fuzzy type observer design, tensor product model transformation based fuzzy observer is designed, and the quasi linear parameter varying polytopic model is involved in observer design, and the principle aims to implement the observer design is its numerical implementation with fuzzy model representation, the distributed gains of the observer can be calculated via higher order singular value and linear matrix inequalities(LMI). Finally, the tensor product model transformation based fuzzy observer is compared with TS fuzzy observer. The simulation result shows that the observation performance of tensor product distributed compensation (TPDC) observer is better than that of TS observer.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call