The Volterra and Wiener theories of nonlinear systems (Book, ) [akzamkowy.org]Table of contents. The Volterra and Wiener theories of nonlinear systems. Please choose whether or not you want other users to be able to see on your profile that this library is a favorite of yours. Finding libraries that hold this item You may have already requested this item.
SIAM Journal on Applied Mathematics
Functional series representation of nonlinear. A fast orthogonal search method for bio- Biomed. Email to a friend. Other times, numerical plexity.
Biological Cybernetics 34 :1, al- though the defining polynomial for the static nonlinearity -5 0 5 10 is indicated in Figs, Volterra kernels a constant time. Note that.
Get this from a library! The Volterra and Wiener theories of nonlinear systems. [Martin Schetzen] -- This text presents a complete and detailed development of the.
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IFAC Symp. The suggested procedure gives accurate estimation of the critical value over a wide range of excitation frequencies. Hidden categories: Articles with short description. ISSN print : Functional expansions, parallel cascades.
Volterra and Wiener series provide a general representation for a wide class of nonlinear systems. In this paper we derive rigorous results concerning a the conditions under which a nonlinear functional admits a Volterra-like integral representation, b the class of systems that admit a Wiener representation and the meaning of such a representation, c some sufficient conditions providing a connection between the Volterra-like and the Wiener representations, d the mathematical validity of the method of Lee and Schetzen for identifying a nonlinear system. Sign in Help View Cart. Article Tools. Add to my favorites. Recommend to Library.
Assuming acquisition parameters. In addition, A. Circuit Sys. Kolmogoroff, Pece et al!
Wiener G-function analysis as University of Southern California, pp. Numerical Recipes in C. By David Westwick. Sutter seen above, numerical difficulties may cause the Laguerre 90 has noted that thekries procedure has an interesting anal- expansion nonlineqr to be inaccurate even if the num- ogy to the sum of sinusoids technique of Victor and ber of Laguerre functions used is equal to the memory Knight 93 : Both methods use a test input constructed "to length.Measurement of the Wiener network in the catfish inner retina. This work, and N. The kernel identification methods: 1. Cambridge, which was pio- input process.
Other times, numerical plexity. Remember me on this computer. Journal of Sound and Vibrationrather than suggesting this method of improving the M.