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.
A Systematic Determination Approach of Model's Base Using Gap Metric for Nonlinear Systems
Contributed by the Dynamic Systems Division of ASME for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT, AND CONTROL. Manuscript received July 9, 2014; final manuscript received November 25, 2015; published online January 13, 2016. Editor: Joseph Beaman.
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Zribi, A., Chtourou, M., and Djemal, M. (January 13, 2016). "A Systematic Determination Approach of Model's Base Using Gap Metric for Nonlinear Systems." ASME. J. Dyn. Sys., Meas., Control. March 2016; 138(3): 031008. https://doi.org/10.1115/1.4032222
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