Results 1 to 10 of about 114,536 (166)
An Adaptive Nonlinear Filter for System Identification [PDF]
EURASIP Journal on Advances in Signal Processing, 2009 The primary difficulty in the identification of Hammerstein nonlinear systems (a static memoryless nonlinear system in series with a dynamic linear system) is that the output of the nonlinear system (input to the linear system) is unknown.
Tokunbo Ogunfunmi, Ifiok J. Umoh
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On the smoothness of nonlinear system identification [PDF]
Automatica, 2020 We shed new light on the \textit{smoothness} of optimization problems arising in prediction error parameter estimation of linear and nonlinear systems. We show that for regions of the parameter space where the model is not contractive, the Lipschitz constant and $β$-smoothness of the objective function might blow up exponentially with the simulation ...
Antônio H. Ribeiro +4 more
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Integrate-and-Differentiate Approach to Nonlinear System Identification
Mathematics, 2021 In this paper, we consider a problem of parametric identification of a piece-wise linear mechanical system described by ordinary differential equations.
Artur I. Karimov +3 more
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On adaptive identification of systems having multiple nonlinearities
Российский технологический журнал, 2023 Objectives. The solution to the relevant problem of identifying systems with multiple nonlinearities depends on such factors as feedback, ways of connecting nonlinear links, and signal properties. The specifics of nonlinear systems affect control systems
N. N. Karabutov
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Automatika, 2022 This paper studies the modelling of a class of nonlinear plants with known structures but unknown parameters and proposes a general nonlinear U-model expression. The particle swarm optimization algorithm is used to identify the time-varying parameters of
Fengxia Xu +3 more
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Equation Discovery for Nonlinear System Identification
IEEE Access, 2020 Equation discovery methods enable modelers to combine domain-specific knowledge and system identification to construct models most suitable for a selected modeling task.
Nikola Simidjievski +3 more
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Parameter identification for Hammerstein nonlinear system with polynomial and state space model
Measurement + Control, 2023 This study investigates a two-stage parameter identification algorithm for the Hammerstein nonlinear system based on special test signals. The studied Hammerstein nonlinear system has a static nonlinear subsystem represented by polynomial basis function ...
Chenghao Li, Feng Li, Qingfeng Cao
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Feedback for nonlinear system identification [PDF]
2019 18th European Control Conference (ECC), 2019 Motivated by neuronal models from neuroscience, we consider the system identification of simple feedback structures whose behaviors include nonlinear phenomena such as excitability, limit-cycles and chaos. We show that output feedback is sufficient to solve the identification problem in a two-step procedure.
Thiago B. Burghi +2 more
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A Simple Framework for Identifying Dynamical Systems in Closed-Loop
IEEE Access, 2021 In this paper, we propose a simple framework for closed-loop system identification: the stabilized output error method. Traditional closed-loop system identification methods rely on the linearity of the target system, and they require the identification ...
Ichiro Maruta, Toshiharu Sugie
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Nonlinear-Adaptive Mathematical System Identification
Computation, 2017 By reversing paradigms that normally utilize mathematical models as the basis for nonlinear adaptive controllers, this article describes using the controller to serve as a novel computational approach for mathematical system identification.
Timothy Sands
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