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Neural Network Modeling Of Nonlinear Systems Based On Volterra Series Extension Of A Linear Model by Donald I. Soloway
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1NASA Technical Reports Server (NTRS) 19920007769: Neural Network Modeling Of Nonlinear Systems Based On Volterra Series Extension Of A Linear Model
By NASA Technical Reports Server (NTRS)
A Volterra series approach was 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 the control of robotic systems are discussed.
“NASA Technical Reports Server (NTRS) 19920007769: Neural Network Modeling Of Nonlinear Systems Based On Volterra Series Extension Of A Linear Model” Metadata:
- Title: ➤ NASA Technical Reports Server (NTRS) 19920007769: Neural Network Modeling Of Nonlinear Systems Based On Volterra Series Extension Of A Linear Model
- Author: ➤ NASA Technical Reports Server (NTRS)
- Language: English
“NASA Technical Reports Server (NTRS) 19920007769: Neural Network Modeling Of Nonlinear Systems Based On Volterra Series Extension Of A Linear Model” Subjects and Themes:
- Subjects: ➤ NASA Technical Reports Server (NTRS) - CONTROLLERS - NEURAL NETS - NONLINEAR SYSTEMS - SERIES (MATHEMATICS) - SYSTEM IDENTIFICATION - MATHEMATICAL MODELS - ROBOTICS - Soloway, Donald I. - Bialasiewicz, Jan T.
Edition Identifiers:
- Internet Archive ID: NASA_NTRS_Archive_19920007769
Downloads Information:
The book is available for download in "texts" format, the size of the file-s is: 12.03 Mbs, the file-s for this book were downloaded 65 times, the file-s went public at Fri Sep 30 2016.
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