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• W1550931430 abstract "We present an approach to estimating the parameters in a nonlinear model of the studied system. This approach uses a classic nonlinear estimator algorithm (damped Gauss-Newton in our case), applied to a flat differential model of a process. The method is applied to an artificial pneumatic muscle, and compared with standard nonlinear identification method. For both cases, identification results are given and discussed." @default.
• W1550931430 created "2016-06-24" @default.
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• W1550931430 date "2002-11-27" @default.
• W1550931430 modified "2023-09-27" @default.
• W1550931430 title "Nonlinear parametric identification of a McKibben artificial pneumatic muscle using flatness property of the system" @default.
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• W1550931430 doi "https://doi.org/10.1109/cca.1998.728247" @default.
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