Wiener-Hammerstein Model Identification-Recursive lgorithms

Recursive algorithms for parameter estimation of Wiener-Hammerstein (W-H)models are developed. These algorithms are derived on the basis of minimizing cost functions of the output errors, the equation errors, and the prediction errors. Convergence conditions of the developed algorithms are established. Numerical results, to test the algorithms and illustrate their estimation accuracy, are given

Wiener-Hammerstein Model Identification-Recursive lgorithms

Recursive algorithms for parameter estimation of Wiener-Hammerstein (W-H)models are developed. These algorithms are derived on the basis of minimizing cost functions of the output errors, the equation errors, and the prediction errors. Convergence conditions of the developed algorithms are established. Numerical results, to test the algorithms and illustrate their estimation accuracy, are given

Parameter Estimation Of Wiener-Hammerstein Models

Several algorithms, namely the Output Error (OE), the Equation Error (EE), the Prediction Error (PE), and the Instrumental Variable (IV), for parameter estimation of Wiener-Hammerstein models, are derived. Monte Carlo simulation results are provided showing the effectiveness, and comparing the performance of these algorithm

Parameter Estimation Of Wiener-Hammerstein Models

Several algorithms, namely the Output Error (OE), the Equation Error (EE), the Prediction Error (PE), and the Instrumental Variable (IV), for parameter estimation of Wiener-Hammerstein models, are derived. Monte Carlo simulation results are provided showing the effectiveness, and comparing the performance of these algorithm

Don Quijote de la Mancha. Lyhennelmä, suomi

Nimiösivulla myös: Espanjalaisten taiteilijain tekemillä kuvilla varustettu. Suomennettu lyhennetystä ranskalaisesta painoksesta.Suomentanut O.A. Joutsen.Kannen signeeraus: F.G.Å

Novon

p. 209-214A new species of Diandrolyra Stapf (Poaceae, Bambusoideae, Olyreae), D. pygmaea Soderstrom & Zuloaga ex R. P. Oliveira & L. G. Clark, from Bahia, Brazil, is described and illustrated. This species is known only from southern Bahia, growing in the Atlantic Forest region. It is compared and contrasted with its congeners, D. bicolor Stapf and D. tatianae Soderstrom & Zuloaga, and the Bahian distribution of the three species is mapped. Distinguishing features of D. pygmaea include its small stature and two (or three) pairs of spikelets per racemose inflorescence