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Información general |
| Autor |
Yu, Sung-Hoon; Kim, Yong-Tae; Park, Chang-Woo; Hyun, Chang-Ho |
| Publicado |
InTech Open Access Publisher, 2013
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| Edición |
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| Extensión |
Sung-Hoon Yu, Yong-Tae Kim, Chang-Woo Park and Chang-Ho Hyun (2013). An Optimal Fuzzy High-Gain Observer for an Uncertain Nonlinear System, International Journal of Advanced Robotic Systems, Patricia Melin (Ed.), ISBN: 1729-8806, InTech, DOI: 10.5772/56060. Available from: http://www.intechopen.com/journals/international_journal_of_advanced_robotic_systems/an-optimal-fuzzy-high-gain-observer-for-an-uncertain-nonlinear-system
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| ISBN |
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| Abstract |
An Optimal Fuzzy High-Gain Observer for an Uncertain Nonlinear System
high‐gain observer design scheme. The structure of the
proposed observer is represented by the Takagi‐Sugeno
fuzzy
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
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International Journal of Advanced Robotic Systems
Autor: 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, [...]
Publicado: 2004
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