Results 11 to 20 of about 1,828,697 (335)
Nonlinear System Identification With Prior Knowledge on the Region of Attraction [PDF]
We consider the problem of nonlinear system identification when prior knowledge is available on the region of attraction (ROA) of an equilibrium point.
M. Khosravi, Roy S. Smith
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On adaptive identification of systems having multiple nonlinearities
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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Integrate-and-Differentiate Approach to Nonlinear System Identification
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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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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Parameter identification for Hammerstein nonlinear system with polynomial and state space model
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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Nonlinear systems identification with discontinuous nonlinearity [PDF]
<span>In this paper, nonparametric nonlinear systems identification is proposed. The considered system nonlinearity is nonparametric and is of hard type. This latter can be discontinuous and noninvertible. The entire nonlinear system is structured by Hammerstein model. Furthermore, the linear dynamic block is of any order and can be nonparametric.
Mohamed Benyassi +2 more
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A Simple Framework for Identifying Dynamical Systems in Closed-Loop
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 System Identification of Neural Systems from Neurophysiological Signals
The human nervous system is one of the most complicated systems in nature. Complex nonlinear behaviours have been shown from the single neuron level to the system level.
F. He, Yuan Yang
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Nonlinear System Identification of Soft Robot Dynamics Using Koopman Operator Theory [PDF]
Soft robots are challenging to model due in large part to the nonlinear properties of soft materials. Fortunately, this softness makes it possible to safely observe their behavior under random control inputs, making them amenable to large-scale data ...
D. Bruder, C. Remy, Ram Vasudevan
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To interpret the nonlinear system identification of multi-degree-of-freedom vibrating structures with freeplay, an estimation procedure based on subspace method in time domain is developed in this paper.
Sun Yukai +3 more
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