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Analytical foundations of Volterra series

by Stephen Boyd, L. O. Chua, C. A. Desoer - Journal of Mathematical Control and Information , 1984
"... In this paper we carefully study the analysis involved with Volterra series. We address system-theoretic issues ranging from bounds on the gain and incremental gain of Volterra series operators to the existence of Volterra series operator inverses, and mathematical topics such as the relation betwee ..."
Abstract - Cited by 22 (0 self) - Add to MetaCart
between Volterra series operators and Taylor series. The proofs are complete, and use only the basic facts of analysis. We prove a general Steady-state theorem for Volterra series operators, and then establish a general formula for the spectrum of the output of a Volterra series operator in terms

Volterra equations

by Anna Karczewska , 2008
"... ar ..."
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Regularization tools – a matlab package for analysis and solution of discrete ill-posed problems

by Per Christian Hansen - Numerical Algorithms , 1994
"... The software described in this report was originally published in Numerical Algorithms 6 (1994), pp. 1–35. The current version is published in Numer. Algo. 46 (2007), pp. 189–194, and it is available from www.netlib.org/numeralgo and www.mathworks.com/matlabcentral/fileexchangeContents ..."
Abstract - Cited by 276 (8 self) - Add to MetaCart
The software described in this report was originally published in Numerical Algorithms 6 (1994), pp. 1–35. The current version is published in Numer. Algo. 46 (2007), pp. 189–194, and it is available from www.netlib.org/numeralgo and www.mathworks.com/matlabcentral/fileexchangeContents

Resolvent formula for a Volterra equation in Hilbert space

by Jan Al R W Carr, K B Hannsgen Oaag C, Ralph W. /cr, Ralph W. Carr, Kenneth B. Hannsgen - SIAM J. Math. Anal , 1982
"... Let y(t,x,f) denote the solution of the Cauchy problem t y'(t) + f Id + a(t-s)]L y(s)ds = f(t), t> 0, y(O) = x 0 where d> 0 and L is a self-adjoint densely defined linear operator on a Hilbert space H with L> AI I. Let U(t)x = y(t,x,O), V = U'. By analyzing a related scalar equat ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
Let y(t,x,f) denote the solution of the Cauchy problem t y'(t) + f Id + a(t-s)]L y(s)ds = f(t), t> 0, y(O) = x 0 where d> 0 and L is a self-adjoint densely defined linear operator on a Hilbert space H with L> AI I. Let U(t)x = y(t,x,O), V = U'. By analyzing a related scalar

Introduction to Nonextensive Statistical Mechanics -- Approaching a complex world

by Constantino Tsallis , 2009
"... ..."
Abstract - Cited by 266 (21 self) - Add to MetaCart
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1Faa ̀ di Bruno’s formula for Gâteaux

by Daniel E
"... differentials and interacting stochastic population processes ..."
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differentials and interacting stochastic population processes

Jacobi operators and completely integrable nonlinear lattices

by Gerald Teschl - MATHEMATICAL SURVEYS AND MONOGRAPHS , 2000
"... ..."
Abstract - Cited by 228 (50 self) - Add to MetaCart
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What is the relativistic Volterra lattice

by Yuri B. Suris, O Ragnisco - Commun. Math. Phys , 1999
"... Abstract. We develop a systematic procedure of finding integrable ”relativistic ” (regular one– parameter) deformations for integrable lattice systems. Our procedure is based on the integrable time discretizations and consists of three steps. First, for a given system one finds a local discretizatio ..."
Abstract - Cited by 1 (1 self) - Add to MetaCart
as to the Volterra lattice and a certain Bogoyavlensky lattice, for which the ”relativistic ” deformations were not known previously.

Nonlinear Black-Box Modeling in System Identification: a Unified Overview

by Jonas Sjöberg, Qinghua Zhang, Lennart Ljung, Albert Benveniste, Bernard Deylon, Pierre-yves Glorennec, Hakan Hjalmarsson, Anatoli Juditsky - Automatica , 1995
"... A nonlinear black box structure for a dynamical system is a model structure that is prepared to describe virtually any nonlinear dynamics. There has been considerable recent interest in this area with structures based on neural networks, radial basis networks, wavelet networks, hinging hyperplanes, ..."
Abstract - Cited by 213 (15 self) - Add to MetaCart
, as well as wavelet transform based methods and models based on fuzzy sets and fuzzy rules. This paper describes all these approaches in a common framework, from a user's perspective. It focuses on what are the common features in the different approaches, the choices that have to be made and what

Optimization and Dynamical Systems

by Uwe Helmke, John B. Moore , 1996
"... ..."
Abstract - Cited by 193 (19 self) - Add to MetaCart
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