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Informations générales |
| Auteur |
Yu, Sung-Hoon; Kim, Yong-Tae; Park, Chang-Woo; Hyun, Chang-Ho |
| Publié |
InTech Open Access Publisher, 2013
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| Abstract |
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 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. |
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International Journal of Advanced Robotic Systems
Auteur: Ottaviano, Erika; Ceccarelli, Marco; Husty, Manfred; Yu, Sung-Hoon; Kim, Yong-Tae; Park, Chang-Woo; Hyun, Chang-Ho; Chen, Xiulong; Feng, Weiming; Sun, Xianyang; Gao, Qing; Grigorescu, Sorin M.; Pozna, Claudiu; Liu, Wanli; Zhankui, Wang; Guo, Meng; Fu, Guoyu; Zhang, Jin; Chen, Wenyuan; Peng, Fengchao; Yang, Pei; Chen, Chunlin; Ding, Rui; Yu, Junzhi; Yang, Qinghai; Tan, Min; Polden, Joseph; Pan, [...]
Publié: 2004
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