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Rational model identification using an extended least-squares algorithm. (English) Zbl 0728.93084
Summary: A new least-squares-based parameter-estimation algorithm is derived for nonlinear systems which can be represented by a rational model defined as the ratio of two polynomial expansions of past system inputs, outputs and noise. Simulation results are included to illustrate the performance of the new algorithm.

MSC:
93E24 Least squares and related methods for stochastic control systems
93C10 Nonlinear systems in control theory
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