Parameter estimation of continuous-time bilinear systems based on numerical integration and separable non-linear least-squares

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International Journal of Control, Vol. 80, Iss. 3, 2007-03 ,pp. : 329-339

Taylor & Francis Ltd

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Identification of non-linear parametrically varying models using separable least squares

By Previdi F.   Lovera M.  

International Journal of Control, Vol. 77, Iss. 16, 2004-11 ,pp. : 1382-1392

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Least squares and stochastic gradient parameter estimation for multivariable nonlinear Box-Jenkins models based on the auxiliary model and the multi-innovation identification theory

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Towards a state-space polytopic uncertainty description using subspace model identification techniques

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On-line identification of continuous time-delay systems combining least-squares techniques with a genetic algorithm

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