This paper proposes a sampled-data H∞ fuzzy observer technique for nonlinear uncertain oscillating systems that are represented by the Takagi-Sugeno fuzzy model. The observers are designed for two cases: a measurable premise variable and an immeasurable premise variable. The error system between the nonlinear uncertain system and the sampled-data observer is constructed. The H∞ performance function for the oscillating system is defined and is guaranteed in the Lyapunov sense. Sufficient conditions for the H∞ sampled-data fuzzy observer are given in terms of linear matrix inequalities. Finally, the feasibility of the proposed technique is shown using two simulation examples.
All Science Journal Classification (ASJC) codes
- Computer Science(all)
- Materials Science(all)