Results 21 to 30 of about 1,828,697 (335)
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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Neuro-Fuzzy Network-Based Reduced-Order Modeling of Transonic Aileron Buzz
Aerospace, 2020 In the present work, a reduced-order modeling (ROM) framework based on a recurrent neuro-fuzzy model (NFM) that is serial connected with a multilayer perceptron (MLP) neural network is applied for the computation of transonic aileron buzz.
Rebecca Zahn, Christian Breitsamter
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Exploiting structure in piecewise affine identification of LFT systems [PDF]
, 2009 Identification of interconnected systems is a challenging problem in which it is crucial to exploit the available knowledge about the interconnection structure.
Date, P +3 more
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Approximate Reachability for Koopman Systems Using Mixed Monotonicity
IEEE Access, 2022 We present a data-driven method for computing reachable sets for unknown nonlinear dynamical systems using a Koopman operator based approach. We find mixed-monotone decompositions for a class of Koopman lifted dynamics.
Omanshu Thapliyal, Inseok Hwang
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Linear identification of nonlinear systems: A lifting technique based on the Koopman operator [PDF]
, 2016 We exploit the key idea that nonlinear system identification is equivalent to linear identification of the socalled Koopman operator. Instead of considering nonlinear system identification in the state space, we obtain a novel linear identification ...
Goncalves, Jorge, Mauroy, Alexandre
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Parametric Identification of Nonlinear Fractional Hammerstein Models
Fractal and Fractional, 2019 In this paper, a system identification method for continuous fractional-order Hammerstein models is proposed. A block structured nonlinear system constituting a static nonlinear block followed by a fractional-order linear dynamic system is considered ...
Vineet Prasad +2 more
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Integrated Pre-Processing for Bayesian Nonlinear System Identification with Gaussian Processes [PDF]
, 2013 We introduce GP-FNARX: a new model for nonlinear system identification based on a nonlinear autoregressive exogenous model (NARX) with filtered regressors (F) where the nonlinear regression problem is tackled using sparse Gaussian processes (GP).
Frigola, Roger, Rasmussen, Carl Edward
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Alexandria Engineering Journal, 2020 Nonlinear identification of a narrow cantilever blade undergoing free vibration was studied. In the absence of forced excitation and because of general data deficiency of this system, the current identification methods cannot be applied with sufficient ...
Ibrahim Mahariq +4 more
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Sequential Monte Carlo Methods for System Identification [PDF]
, 2015 One of the key challenges in identifying nonlinear and possibly non-Gaussian state space models (SSMs) is the intractability of estimating the system state.
Dahlin, Johan +6 more
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Benchmarking Optimisation Methods for Model Selection and Parameter Estimation of Nonlinear Systems
Vibration, 2021 Characterisation and quantification of nonlinearities in the engineering structures include selecting and fitting a good mathematical model to a set of experimental vibration data with significant nonlinear features.
Sina Safari, Julián Londoño Monsalve
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