Fuzzy reasoning for knowledge-based assessment of dynamic voltage security

1996 ◽  
Vol 143 (2) ◽  
pp. 157 ◽  
Author(s):  
S.K. Tso ◽  
T.X. Zhu ◽  
Q.Y. Zeng ◽  
K.L. Lo
Keyword(s):  
Fuzzy Reasoning ◽  
Voltage Security ◽  
Knowledge Based ◽  
Dynamic Voltage

Dynamic Voltage Security Assessment By Fuzzy Severity Index

1994 ◽  
Vol 27 (16) ◽  
pp. 201-206
Author(s):  
S.K. Tso ◽  
T.X Zhu ◽  
Q.Y. Zeng ◽  
K.L. Lo
Keyword(s):  
Severity Index ◽  
Security Assessment ◽  
Voltage Security ◽  
Dynamic Voltage

Automated knowledge-based analysis and classification of stellar spectra using fuzzy reasoning

2004 ◽  
Vol 27 (2) ◽  
pp. 237-244 ◽  
Author(s):  
Alejandra Rodrı́guez ◽  
Bernardino Arcay ◽  
Carlos Dafonte ◽  
Minia Manteiga ◽  
Iciar Carricajo
Keyword(s):  
Fuzzy Reasoning ◽  
Stellar Spectra ◽  
Knowledge Based ◽  
Automated Knowledge

A Knowledge-Based Controller Used in Process Control Systems

1997 ◽  
Vol 05 (01) ◽  
pp. 47-57
Author(s):  
Jin Wang ◽  
Fuli Wang ◽  
Mingzhong Li ◽  
Yingha Yang
Keyword(s):  
Mathematical Model ◽  
Process Control ◽  
Control Systems ◽  
Fuzzy Reasoning ◽  
Human Experience ◽  
Process Dynamics ◽  
Knowledge Based ◽  
Process Control Systems ◽  
Simulation Results ◽  
The Mathematical Model

A knowledge-based controller(KBC) used in process control systems is presented. It has three features: first, it does not need the mathematical model; secondly, the adjustable parameters of KBC have practical meanings, so they can be determined easily using human experience, and thirdly, the contribution of KBC to a controlled plant is separated into two parts: steady states contribution and transient contribution. A simple fuzzy reasoning is employed to tune the KBC parameters. The experimental and simulation results show that KBC is very effective especially when there are variations in the process dynamics.

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