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MODELING AND PARAMETER IDENTIFICATION FOR A CLASS OF NONSTATIONARY NONLINEAR SYSTEMS

open access: yesMODELING AND PARAMETER IDENTIFICATION FOR A CLASS OF NONSTATIONARY NONLINEAR SYSTEMS
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A Modeling Method for a Class of Nonstationary Nonlinear Systems

IFAC Proceedings Volumes, 1985
Abstract In this paper, a method is presented for modeling a class of nonstationary nonlinear systems, where the system is specified by a nonlinear time-varying stochastic difference equation. The principal line of attack is to adopt the entropy concept for the structure determinanation of system models and to identify unknown system parameters by ...
Y. Sunahara, T. Fukuda
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Local recurrence based performance prediction and prognostics in the nonlinear and nonstationary systems

Pattern Recognition, 2011
This paper presents a local recurrence modeling approach for state and performance predictions in complex nonlinear and nonstationary systems. Nonstationarity is treated as the switching force between different stationary systems, which is shown as a series of finite time detours of system dynamics from the vicinity of a nonlinear attractor. Recurrence
Hui Yang 0003   +2 more
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Fast detection of system nonlinearity using nonstationary signals

Mechanical Systems and Signal Processing, 2010
This paper proposes a method for the detection and quantification of nonlinear distortions in the output of a dynamic system. The basic idea is to use a nonstationary excitation that makes the nonlinear distortions also nonstationary, thus making possible their differentiation from stationary plant noise.
Zhang, Erliang   +3 more
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Partial stability analysis of nonlinear nonstationary systems via averaging

Nonlinear Dynamics, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Aleksandrov, A. Yu.   +2 more
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Output feedback stabilizability and passivity in nonstationary and nonlinear systems

International Journal of Adaptive Control and Signal Processing, 2010
AbstractPassivity properties and passivity conditions have been shown to be very important for the stability of various methodologies of control with uncertainty in linear‐time‐invariant (LTI) systems. Many publications have defined the conditions that allow LTI systems to become strictly passive (and their transfer function strictly positive real) via
Itzhak Barkana
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Practicable identification of nonstationary nonlinear systems

IEE Proceedings D Control Theory and Applications, 1981
V Z Marmarelis
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