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Design of auxiliary model based normalized fractional gradient algorithm for nonlinear output-error systems

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Bibliography Mathematics, Applied

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J. Tenreiro Machado et al.

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Feng Ding et al.

SYSTEMS & CONTROL LETTERS (2007)

Article Automation & Control Systems

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F Ding et al.

IEEE TRANSACTIONS ON AUTOMATIC CONTROL (2005)