Journal ArticleDOI
Modeling and identification of dynamic systems
N. K. Sinha,B. Kuszta +1 more
- Vol. 15, Iss: 3, pp 449-450
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TLDR
The problem of identifying system parameters deals with the evaluation of coefficients in the known mathematical model from measured input-output data and can be reduced to a parameter estimation that uses the tools of estimation theory.Abstract:
The problem of identifying system parameters deals with the evaluation of coefficients in the known mathematical model from measured input-output data. Moreover, the identification problem can be reduced to a parameter estimation that uses the tools of estimation theory. According to [2], “identification is the determination, on the basis of input and output, of a system within a specified class of systems, to which the system under test is equivalent.”read more
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The identification of nonlinear biological systems: Wiener and Hammerstein cascade models
W I Hunter,Michael J. Korenberg +1 more
TL;DR: Various identification schemes that have been proposed for the Hammerstein and Wiener systems are critically reviewed with reference to the special problems that arise in the identification of nonlinear biological systems.
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The identification of nonlinear biological systems: LNL cascade models
TL;DR: A simulated LNL system is identified from limited duration input-output data using an iterative identification scheme and various identification schemes proposed are critically reviewed with reference to the special problems that arise in the identification of nonlinear biological systems.
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Aggregation in model ecosystems. I. Perfect aggregation
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Nonlinear System Identification: A User-Oriented Road Map
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Autonomous calibration of single-loop closed kinematic chains formed by manipulators with passive endpoint constraints
TL;DR: The authors present a kinematic calibration method that does not require endpoint measurements or precision points and is an adaptation of an iterative least-squares algorithm used in calibrating open-chain manipulators.