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• W1980017079 abstract "The fractional-order Hammerstein system is a cascading system composed of a static nonlinearity followed by a fractional-order linear dynamics, which is a typical nonlinear system satisfying the local Lipschitz condition, and exhibits quasi-linear properties. This paper combines the fractional-order iterative learning control (FOILC) and the fractional-order iterative learning identification (FOILI), which is applied to the perfect tracking control of fractional-order continuous Hammerstein systems. A novel order learning strategy is proposed to estimate the differentiation order accurately. A practical and robust identification based FOILC scheme is derived so that the convergence speed can be optimized accordingly. Two illustrated examples are provided to validate the above concepts." @default.
• W1980017079 created "2016-06-24" @default.
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• W1980017079 date "2014-06-01" @default.
• W1980017079 modified "2023-10-18" @default.
• W1980017079 title "Fractional-order iterative learning control and identification for fractional-order Hammerstein system" @default.
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• W1980017079 doi "https://doi.org/10.1109/wcica.2014.7052825" @default.
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