An Optimal Fuzzy High-Gain Observer for an Uncertain Nonlinear System

作者：Yu Sung Hoon; Kim Yong Tae; Park Chang Woo; Hyun Chang Ho^*

来源：International Journal of Advanced Robotic Systems, 2013, 10(4): 188.

DOI：10.5772/56060

• Optimal Performance
• Takagi-Sugeno Fuzzy Model
• H-infinity Control
• Adaptive Projection

This paper proposes an alternative optimal fuzzy high-gain observer design scheme. The structure of the proposed observer is represented by the Takagi-Sugeno fuzzy model and has the integrator of the estimation error. It improves the performance of a high-gain observer and makes the observer robust against noisy measurements, uncertainties and parameter perturbation. The proposed observer adopts the H-infinity control technique and an adaptive projection algorithm. This technique results in a reduction of both the fuzzy approximation error and time-varying disturbances. In addition, the proposed observer accomplishes a fast transient response and parameter convergence. Some simulation results are given to present the validity of the theoretical derivations and the performance of the proposed observer.

• 出版日期2013-4-4