Abstract: Parameters are identified in chaotic systems. Periodic orbits are first extracted from a chaotic set. The harmonic-balance method is applied to these periodic orbits, resulting in a linear equation in the unknown parameters, which can then be solved in the least squares sense. The idea is applied numerically to forced and autonomous systems. The effects of noise and errors in the periodic orbit extraction are outlined. The benefit of extracting several periodic orbits from the chaotic set is revealed
Exact analytical solutions to periodic motions in nonlinear dynamical systems are almost not possibl...
This paper investigates the identification of global models from chaotic data corrupted by purely ad...
Given a set of experimental or numerical chaotic data and a set of model differential equations with...
The subject of this paper is the development of a nonlinearparametric identification method using ch...
Parametric identification of a single degree-of-freedom (SDOF) nonlinear Duffing oscillator is carri...
The matter concerning special criteria definition for nonlinear dynamic systems identification probl...
ii This work presents a new nonlinear, experimental system identification technique, dubbed the Nonl...
We present a rigorous analysis and numerical evidence indicating that a recently developed methodolo...
This contribution discusses dynamic reconstructions and their application to the identification of, ...
Limited literature regarding parameter estimation of dynamic systems has been identified as the cent...
This paper investigates the problem of stabilising one of the high order periodic orbits of a chaoti...
In nonlinear dynamical systems the determination of stable and unstable periodic orbits as part of p...
Control of chaos present in the Lorenz system was realized numerically by using an unstable periodic...
Abstract: We present a novel identification framework that enables the use of first-order methods wh...
The industrial demand on good dynamical simulation models is increasing. Since most structures show ...
Exact analytical solutions to periodic motions in nonlinear dynamical systems are almost not possibl...
This paper investigates the identification of global models from chaotic data corrupted by purely ad...
Given a set of experimental or numerical chaotic data and a set of model differential equations with...
The subject of this paper is the development of a nonlinearparametric identification method using ch...
Parametric identification of a single degree-of-freedom (SDOF) nonlinear Duffing oscillator is carri...
The matter concerning special criteria definition for nonlinear dynamic systems identification probl...
ii This work presents a new nonlinear, experimental system identification technique, dubbed the Nonl...
We present a rigorous analysis and numerical evidence indicating that a recently developed methodolo...
This contribution discusses dynamic reconstructions and their application to the identification of, ...
Limited literature regarding parameter estimation of dynamic systems has been identified as the cent...
This paper investigates the problem of stabilising one of the high order periodic orbits of a chaoti...
In nonlinear dynamical systems the determination of stable and unstable periodic orbits as part of p...
Control of chaos present in the Lorenz system was realized numerically by using an unstable periodic...
Abstract: We present a novel identification framework that enables the use of first-order methods wh...
The industrial demand on good dynamical simulation models is increasing. Since most structures show ...
Exact analytical solutions to periodic motions in nonlinear dynamical systems are almost not possibl...
This paper investigates the identification of global models from chaotic data corrupted by purely ad...
Given a set of experimental or numerical chaotic data and a set of model differential equations with...