Name
Abstract | ||
|---|---|---|
A methodology for designing adaptive hierarchical fuzzy controllers is presented. In order to evaluate this concept, several suitable performance indices were developed and converted to linguistic fuzzy variables. Based on those variables, a supervisory fuzzy rule set was constructed and used to change the parameters of a hierarchical fuzzy controller to accommodate the variations of system parameters. The proposed algorithm was used in feedwater flow control to a steam generator. Simulation studies are presented that illustrate the effectiveness of the approach |
Year | DOI | Venue |
|---|---|---|
1993 | 10.1109/21.247882 | Systems, Man and Cybernetics, IEEE Transactions |
Keywords | Field | DocType |
adaptive control,boilers,fuzzy control,fuzzy logic,hierarchical systems,performance index,adaptive hierarchical fuzzy controllers,feedwater flow control,linguistic fuzzy variables,performance indices,steam generator,supervisory fuzzy rule set | Neuro-fuzzy,Fuzzy classification,Defuzzification,Fuzzy set operations,Computer science,Control theory,Fuzzy logic,Adaptive neuro fuzzy inference system,Fuzzy control system,Fuzzy rule | Journal |
Volume | Issue | ISSN |
23 | 4 | 0018-9472 |
Citations | PageRank | References |
80 | 9.57 | 4 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| G. V. Raju | 1 | 97 | 12.92 |
| Jun Zhou | 2 | 80 | 9.57 |