A Systematic Determination Approach of Model's Base Using Gap Metric for Nonlinear Systems
2016 ◽
Vol 138
(3)
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Keyword(s):
This paper proposes a novel gap metric based fuzzy decomposition approach resulting in a reduced model bank that provides enough information to design controllers. It requires, first, the determination of the model base. For this, the number of initial models is obtained via fuzzy c-means (FCM) algorithm. Then, a gap metric based method which aims to get a reduced model bank is developed. Based on the linear models bank, a set of linear controllers are designed and combined into a global controller for setpoint tracking control.
2021 ◽
pp. 014233122198900
Keyword(s):
1994 ◽
Vol 27
(8)
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pp. 1309-1314
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2007 ◽
Vol 169
(2)
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pp. 502-505
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1996 ◽
Vol 37
(4)
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pp. 215-221_1
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2001 ◽
Vol 12
(15)
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pp. 1893-1905
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