Results 191 to 200 of about 1,346,541 (251)

Nonlinear system identification and characterization

International Conference on Acoustics, Speech, and Signal Processing, 2003
Given a Volterra series representation of an input-output system, the authors present a result concerning conditions under which there exists a feedback linearizable realization of the nonlinear system. In addition, they develop a method to compute the unknown parameters in a canonical-form realization from the known Volterra kernels.
L. R. Hunt, Darel A. Linebarger, Ronald D. DeGroat   +2 more
openaire   +1 more source

A Contribution on the Identification of Nonlinear Systems

2018 5th International Conference on Control, Decision and Information Technologies (CoDIT), 2018
In this paper, an identification method is proposed to determine the nonlinear systems parameters. The proposed nonlinear systems can be described by Wiener systems. This structure of models consists of series of linear dynamic element and a nonlinearity block. Both the linear and nonlinear parts are nonparametric.
Adil Brouri, Laila Kadi
openaire   +1 more source

Identification of polyperiodic nonlinear systems

Signal Processing, 1995
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
GARDNER W. A, PAURA, LUIGI
openaire   +2 more sources

Identification of Structured Nonlinear Systems

IEEE Transactions on Automatic Control, 2008
This paper is concerned with the identification of static nonlinear components in a complex interconnected system. These nonlinear components are treated nonparametrically, in the sense that no natural parameterization is assumed to be available.
Kenneth Hsu, Kameshwar Poolla, Tyrone L. Vincent   +2 more
openaire   +1 more source

Set membership identification of nonlinear systems

Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187), 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
MILANESE, Mario, NOVARA, Carlo
openaire   +2 more sources

A novel unscented Kalman filter for recursive state-input-system identification of nonlinear systems

Mechanical Systems and Signal Processing, 2019
The unscented Kalman filter (UKF) has proven to be an effective approach for the identification of nonlinear systems from limited output measurements.
Ying Lei, Dandan Xia, Kalil Erazo
exaly   +2 more sources

Comparison of nonlinear system identification methods for free decay measurements with application to jointed structures

Journal of Sound and Vibration, 2019
Assembled structures are nonlinear. The sources of this nonlinearity could include the jointed interfaces, damage and wear, non-idealized boundary conditions, or other features inherent in real parts.
M. Jin, M. Brake, Hanwen Song
semanticscholar   +1 more source

Identification of Nonlinear Maps in Interconnected Systems

Proceedings of the 44th IEEE Conference on Decision and Control, 2006
We offer a systematic algorithm for the identification of static nonlinear maps in interconnected systems. The class of systems considered are those consisting of linear time-invariant systems and static nonlinear functions. Under the conditions that the linear dynamics are known and the inputs to the nonlinearities are measurable, the identification ...
HSU K, VINCENT T, NOVARA, Carlo, MILANESE, Mario, POOLLA K.   +4 more
openaire   +2 more sources

Identification of nonlinear system composed of parallel coupling of Wiener and Hammerstein models

Asian journal of control, 2021
In this paper, a new method for the identification of nonlinear system composed by the Wiener and Hammerstein models connected in parallel is presented.
A. Brouri, L. Kadi, K. Lahdachi
semanticscholar   +1 more source

Characteristic nonlinear system identification: A data-driven approach for local nonlinear attachments

Mechanical systems and signal processing, 2019
This research introduces the characteristic nonlinear system identification (CNSI) procedure for identifying the dynamics of local nonlinear attachments.
K. Moore
semanticscholar   +1 more source