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In this paper a new intelligent identification method of uncertainty bound utilizes an adaptive neuro-fuzzy inference system (ANFIS) in a feedback scheme is proposed. The proposed ANFIS feedback structure performs better in determining the uncertainty bounds with minimum number of iterations and error. In our proposed technique, the intelligent identified uncertainty weighting function is validated...
The three-tank-system is considered in this paper. Using experimental data, process dynamics are estimated and noise dynamics are modeled. Uncertainty in the system is identified and estimated by additive uncertainty weights. Controller is designed using mix-sensitivity method.
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