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2 edition of Generalised frequency response function matrix for MIMO nonlinear systems found in the catalog.

Generalised frequency response function matrix for MIMO nonlinear systems

A. K. Swain

Generalised frequency response function matrix for MIMO nonlinear systems

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Published by University of Sheffield, Dept. of Automatic Control and Systems Engineering in Sheffield .
Written in English


Edition Notes

StatementA.K. Swain and S.A. Billings.
SeriesResearch report / University of Sheffield. Department of Automatic Control and Systems Engineering -- no.648, Research report (University of Sheffield. Department of Automatic Control and Systems Engineering) -- no.648.
ContributionsBillings, S. A.
ID Numbers
Open LibraryOL16574302M

InputUnit — Input channel units '' default character vector cell array of character vectors Input channel units, specified as one of the following: A character vector, for single-input models. InputGroup — Input channel groups structure Input channel groups, specified as a structure. For example: sys. When it is, it may be called a perfect reconstruction filter bank.

Default: 'seconds' Input channel names, specified as one of the following: Character vector — For single-input models, for example, 'controls'. The property stores whichever data type you provide. A cell array of character vectors, for multi-output models. The proposed controllers were used in trajectory control of right arm of dual arm robot.

Alternatively, you can assign input names for multi-input models using automatic vector expansion. Introduction Engineering structures generally exhibit nonlinearities. The describing function method can identify the structural nonlinearity by the frequency response function measured under a harmonic excitation. The property stores whichever data type you provide. Suppose the data of sensor node is part of system outputs and is transferred with static scheduling strategy, then the NCS is modeled as uncertain periodic system. Use InputUnit to keep track of input signal units.


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Generalised frequency response function matrix for MIMO nonlinear systems book

The field names of InputGroup are the group names and the field values are the input channels of each group. In the simulations, the CGSA is applied to an integrated rudder and fin control loop to indicate that the integrated rudder and fin CGSA control scheme is very feasible for future practical application.

Specify output groups as a structure. Use InputName to: Identify channels on model display and plots. Fuzzy logic system is designed to estimate the unknown function. OutputUnit — Output channel units '' default character vector cell array of character vectors Output channel units, specified as one of the following: A character vector, for single-output models.

Corresponding simulations show that output SINR of non-unitary pre-coding system is inferior to the unitary pre-coding case and such losses can been described using statistical linear approximation. This follows from the fact thati. In this structure, field names are the group names, and field values are the output channels belonging to each group.

OutputName — Output channel names '' default character vector cell array of character vectors Output channel names, specified as one of the following: A character vector, for single-output models. The proposed controllers were used in trajectory control of right arm of dual arm robot.

Default: '' for all output channels OutputGroup Output channel groups. You can then extract the subsystem from the controls inputs to all outputs using: sys :,'controls' Default: Struct with no fields OutputName Output channel names, specified as one of the following: Character vector — For single-output models.

OutputUnit has no effect on system behavior. OutputUnit has no effect on system behavior. Advantages[ edit ] Just as the digital pre-distortion in MDDPD is applied to the channels independently, the feedback sampling of the channels may also be done independently.

The InputGroup property lets you assign the input channels of MIMO systems into groups and refer to each group by name. The describing function method can identify the structural nonlinearity by the frequency response function measured under a harmonic excitation. Use InputUnit to keep track of input signal units.

The Haar filter bank is defined as The paraconjugate of is so that Thus, the Haar filter bank is paraunitary.

Julia for MATLAB Users/Index/Toolboxes/Control System Toolbox

Most engineering structures include nonlinearities. InputGroup — Input channel groups structure Input channel groups, specified as a structure.Dec 09,  · Swain AK, Billings SA () Generalized frequency response function matrix for MIMO nonlinear systems. Int J Control 74(8)– CrossRef zbMATH MathSciNet Google Scholar Wang J, Sano A, Chen T, Huang B () Identification of Hammerstein Author: Xingjian Jing, Ziqiang Lang.

Frequency response curve of nonlinear system under the pure tone excitation of u 1 (t) is shown in Fig. 2. There are two peaks at frequency response curve.

The peak at 93 Hz is nonlinear frequency response, which is merely caused by the only 3rd-order MGFRF (NR Hz).Cited by: 3. This "Cited by" count includes citations to the following articles in Scholar.

Generalized frequency response function matrix for MIMO non-linear systems. AK Swain, SA Billings.

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Weighted Complex Orthogonal Estimator for Identifying Linear and Nonlinear Continuous Time Models from Generalised Frequency Response Functions. AK Swain, SA. 6 The Identification and Analysis of Nonlinear Systems in theFrequency Domain Introduction Generalised Frequency Response Functions Output Frequencies of Nonlinear Systems Nonlinear Output Frequency Response Functions Output Frequency Response Function of Nonlinear Systems References Linear and Nonlinear Multivariable Feedback Control presents a highly original, unified control theory of both linear and nonlinear multivariable (also known as multi-input multi-output (MIMO)) feedback systems as a straightforward extension of classical control theory.

Generalized Frequency Response Function (GFRF) was defined in [30], which is a multivariate Fourier transform of the Volterra kernels. This provides a useful concept for nonlinear analysis in the frequency domain, which generalizes the transfer function concept from linear systems to nonlinear systems.