Publication | Open Access
Neural network modeling of nonlinear systems based on volterra series extension of a linear model
14
Citations
6
References
2003
Year
Unknown Venue
Robotic SystemsEngineeringNonlinear Mechanical SystemNonlinear System IdentificationVolterra Series ExtensionSystems EngineeringNonlinear SystemsLinear Control TheoryNonlinear Control (Control Engineering)Nonlinear Time SeriesNonlinear ControlVolterra Series ApproachNonlinear Signal ProcessingSystem IdentificationNeural Network ModelingControl System EngineeringComputational NeuroscienceMechanical SystemsBusinessNeuronal NetworkMathematical ModelNonlinear Control (Business Management)
A Volterra series approach has been applied to the identification of nonlinear systems which are described by a neural network model. A procedure is outlined by which a mathematical model can be developed from experimental data obtained from the network structure. Applications of the results to control of robotic systems are discussed.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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