Titlebook: Identification of Continuous-time Models from Sampled Data; Hugues Garnier,Liuping Wang Book 2008 Springer-Verlag London 2008 Analysis.MAT

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Subspace-based Continuous-time Identification,sted by Ho and Kalman [18] Akaike [1], and Kung [28], of a system can be effectively applied to the problem of state-space identification; see Verhaegen . [43, 44], van Overschee and de Moor [41], Juang and Pappa [26], Moonen . [36], Bayard [3, 4, 33, 34]. Suitable background for the discrete-time t

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Process Parameter and Delay Estimation from Non-uniformly Sampled Data, its common occurrence and significant impact on limiting the achievable performance of control systems. However, both in continuous-time (CT) and discrete-time (DT) model identification, the development of time delay-estimation methods lags behind the advancement of the estimation techniques for ot

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1430-9491 ng an overview of much recent research in an increasingly bu.Identification of Continuous-time Models from Sampled Data presents an up-to-date view of this active area of research, describing recent methods and software tools and offering new results in areas such as: time and frequency domain optim

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Robust Identification of Continuous-time Systems from Sampled Data, . from the sampled model. However, it is clear from the above argument that one has an inherent sensitivity to the assumptions that one makes about the folded components. The factors that contribute to the folded components include

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