Continuous model identification (CMI)-introduction.- Signal characterization in terms of distributions.- A general algorithm for parameter identification in lumped linear continuous systems ¿ the poisson moment functional (PMF) approach [P 17].- Transfer function matrix (TFM) identification in multiple input multiple output (MIMO) continuous systems ¿ [P 18].- Conditions of identifiabilty.- A microprocessor based system for on line parameter identification in continuous dynamical systems [P11].- System structure identification [P19, G9, G29].- Identification of time-lag and nonlinear systems.-…mehr
Continuous model identification (CMI)-introduction.- Signal characterization in terms of distributions.- A general algorithm for parameter identification in lumped linear continuous systems ¿ the poisson moment functional (PMF) approach [P 17].- Transfer function matrix (TFM) identification in multiple input multiple output (MIMO) continuous systems ¿ [P 18].- Conditions of identifiabilty.- A microprocessor based system for on line parameter identification in continuous dynamical systems [P11].- System structure identification [P19, G9, G29].- Identification of time-lag and nonlinear systems.- PMF method in the presence of noise.- Multidimensional PMF's and their use in the identification of distributed parameter systems [P14].
Produktdetails
Produktdetails
Lecture Notes in Control and Information Sciences 56
Continuous model identification (CMI)-introduction.- Signal characterization in terms of distributions.- A general algorithm for parameter identification in lumped linear continuous systems - the poisson moment functional (PMF) approach [P 17].- Transfer function matrix (TFM) identification in multiple input multiple output (MIMO) continuous systems - [P 18].- Conditions of identifiabilty.- A microprocessor based system for on line parameter identification in continuous dynamical systems [P11].- System structure identification [P19, G9, G29].- Identification of time-lag and nonlinear systems.- PMF method in the presence of noise.- Multidimensional PMF's and their use in the identification of distributed parameter systems [P14].
Continuous model identification (CMI)-introduction.- Signal characterization in terms of distributions.- A general algorithm for parameter identification in lumped linear continuous systems - the poisson moment functional (PMF) approach [P 17].- Transfer function matrix (TFM) identification in multiple input multiple output (MIMO) continuous systems - [P 18].- Conditions of identifiabilty.- A microprocessor based system for on line parameter identification in continuous dynamical systems [P11].- System structure identification [P19, G9, G29].- Identification of time-lag and nonlinear systems.- PMF method in the presence of noise.- Multidimensional PMF's and their use in the identification of distributed parameter systems [P14].
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