A new adaptive multi-output fuzzy logic system as identifiers of nonlinear MIMO dynamic systems
被引:0
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作者:
Shen, Y
论文数: 0引用数: 0
h-index: 0
机构:
Harbin Inst Technol, Dept Control Engn, Harbin 150001, Peoples R ChinaHarbin Inst Technol, Dept Control Engn, Harbin 150001, Peoples R China
Shen, Y
[1
]
Liu, YP
论文数: 0引用数: 0
h-index: 0
机构:
Harbin Inst Technol, Dept Control Engn, Harbin 150001, Peoples R ChinaHarbin Inst Technol, Dept Control Engn, Harbin 150001, Peoples R China
Liu, YP
[1
]
Li, SY
论文数: 0引用数: 0
h-index: 0
机构:
Harbin Inst Technol, Dept Control Engn, Harbin 150001, Peoples R ChinaHarbin Inst Technol, Dept Control Engn, Harbin 150001, Peoples R China
Li, SY
[1
]
Ma, SW
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h-index: 0
机构:
Harbin Inst Technol, Dept Control Engn, Harbin 150001, Peoples R ChinaHarbin Inst Technol, Dept Control Engn, Harbin 150001, Peoples R China
Ma, SW
[1
]
Liu, ZY
论文数: 0引用数: 0
h-index: 0
机构:
Harbin Inst Technol, Dept Control Engn, Harbin 150001, Peoples R ChinaHarbin Inst Technol, Dept Control Engn, Harbin 150001, Peoples R China
Liu, ZY
[1
]
机构:
[1] Harbin Inst Technol, Dept Control Engn, Harbin 150001, Peoples R China
来源:
ICEMI'99: FOURTH INTERNATIONAL CONFERENCE ON ELECTRONIC MEASUREMENT & INSTRUMENTS, VOLS 1 AND 2, CONFERENCE PROCEEDINGS
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1999年
关键词:
multi-output fuzzy system;
fuzzy identifier;
D O I:
暂无
中图分类号:
TM [电工技术];
TN [电子技术、通信技术];
学科分类号:
0808 ;
0809 ;
摘要:
Ill this paper, a novel method for the construction of adaptive multi-output fuzzy logic systems, based on the single-output fuzzy logic system and utilizing some features of the artificial neural networks and fuzzy rules library? is proposed. Contrasting with the single-output fuzzy system, it needs less the number of parameters and has more rapid speed. The simulation results show that this method is superior to the approach simplifying multi-output to several single-output systems according to the number of rule, the approximate velocity or the approximate error.