陈旧
发表于 2025-3-23 10:34:51
System Settings for the entire book. This chapter provides a problem formulation, shows connections among different system settings, and demonstrates an overall picture of the diverse system identification problems that will be covered in this book. Other than a few common features, technical details are deferred
恶臭
发表于 2025-3-23 17:56:56
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asthma
发表于 2025-3-23 19:10:45
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笼子
发表于 2025-3-24 00:16:00
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Anticoagulant
发表于 2025-3-24 03:39:51
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河流
发表于 2025-3-24 09:39:31
Identification of Sensor Thresholds and Noise Distribution Functionsany applications, the noise distributions are not known, or only limited information is available. On the other hand, input–output data from the system contain information about the noise distribution. By viewing unknown distributions and system parameters jointly as uncertainties, we develop a meth
anagen
发表于 2025-3-24 13:49:20
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最低点
发表于 2025-3-24 17:44:35
Worst-Case Identification Using Quantized Observationsn input sequence in (9.5) was used to generate observation equations in which only one parameter appears, reducing the problem to the identification of gain systems. A more general input design method is introduced in this chapter to achieve parameter decoupling that transforms a multiparameter mode
Harrowing
发表于 2025-3-24 20:32:40
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Bombast
发表于 2025-3-25 01:04:02
Identification of Hammerstein Systems with Quantized Observationsonlinearity that is polynomial and possibly noninvertible, followed by a linear subsystem. The parameters of linear and nonlinear parts are unknown but have known orders.We present input design, identification algorithms, and their essential properties under the assumptions that the distribution fun