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• W2100325486 abstract "We consider the problem of asymptotic reconstruction of the state and parameter values in systems of ordinary differential equations. A solution to this problem is proposed for a class of systems of which the unknowns are allowed to be nonlinearly parameterized functions of state and time. Reconstruction of state and parameter values is based on the concepts of weakly attracting sets and non-uniform convergence and is subjected to persistency of excitation conditions. In absence of nonlinear parametrization the resulting observers reduce to standard estimation schemes. In this respect, the proposed method constitutes a generalization of the conventional canonical adaptive observer design." @default.
• W2100325486 created "2016-06-24" @default.
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• W2100325486 date "2013-08-01" @default.
• W2100325486 modified "2023-10-14" @default.
• W2100325486 title "Adaptive observers and parameter estimation for a class of systems nonlinear in the parameters" @default.
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• W2100325486 doi "https://doi.org/10.1016/j.automatica.2013.05.008" @default.
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