Results 11 to 20 of about 1,346,541 (251)
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
openaire +5 more sources
Equation Discovery for Nonlinear System Identification [PDF]
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
doaj +2 more sources
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
doaj +3 more sources
Deep Subspace Encoders for Nonlinear System Identification [PDF]
at - Automatisierungstechnik, 2022 Using Artificial Neural Networks (ANN) for nonlinear system identification has proven to be a promising approach, but despite of all recent research efforts, many practical and theoretical problems still remain open.
G. Beintema, M. Schoukens, R. T'oth
semanticscholar +1 more source
Neural Ordinary Differential Equations for Nonlinear System Identification [PDF]
American Control Conference, 2022 Neural ordinary differential equations (NODE) have been recently proposed as a promising approach for nonlinear system identification tasks. In this work, we systematically compare their predictive performance with current state-of-the-art nonlinear and ...
Aowabin Rahman +3 more
semanticscholar +1 more source
SINDy-SA framework: enhancing nonlinear system identification with sensitivity analysis
Nonlinear dynamics, 2022 Machine learning methods have revolutionized studies in several areas of knowledge, helping to understand and extract information from experimental data.
G. T. Naozuka +3 more
semanticscholar +1 more source
Deep State Space Models for Nonlinear System Identification [PDF]
IFAC-PapersOnLine, 2020 An actively evolving model class for generative temporal models developed in the deep learning community are deep state space models (SSMs) which have a close connection to classic SSMs.
Daniel Gedon +3 more
semanticscholar +1 more source
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
doaj +1 more source
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
doaj +1 more source
Nonlinear System Identification With Prior Knowledge on the Region of Attraction [PDF]
IEEE Control Systems Letters, 2020 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
semanticscholar +1 more source