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- W2724090722 abstract "Abstract We study identifiability for multivariable nonlinear systems in output injection form. A nonlinar system in output injection form has a nonlinear part which is only a function of output variables. For a such nonlinear system, an asymptotic observer whose error between the state and its estimate decays arbitrarily fast can be designed. Moreover, an adaptive observer can be constructed for such a system. However, for the adaptive observer to work correctly, the unknown functions (or their parameters) must be uniquely determined from the input and output measurement. In this paper we investigate the conditions for identifiability in detail for output injection systems. It is shown that the results are natural extentions of identifiability for linear systems to the nonlinear case." @default.
- W2724090722 created "2017-06-30" @default.
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- W2724090722 date "1990-08-01" @default.
- W2724090722 modified "2023-09-25" @default.
- W2724090722 title "Identifiability for Nonlinear Multivariable Systems in Output Injection Form" @default.
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- W2724090722 doi "https://doi.org/10.1016/s1474-6670(17)51929-1" @default.
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