Identification of systems containing linear dynamic and static nonlinear elements
Identification of nonlinear systems which can be represented by combinations of linear dynamic and static nonlinear elements are considered. Previous results by the authors based on correlation analysis are combined to provide a unified treatment for this class of systems. It is shown that systems c...
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| Veröffentlicht in: | Automatica (Oxford) 1982, Vol.18 (1), p.15-26 |
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| container_title | Automatica (Oxford) |
| container_volume | 18 |
| creator | Billings, S.A. Fakhouri, S.Y. |
| description | Identification of nonlinear systems which can be represented by combinations of linear dynamic and static nonlinear elements are considered. Previous results by the authors based on correlation analysis are combined to provide a unified treatment for this class of systems. It is shown that systems composed of cascade, feedforward, feedback and multiplicative connections of linear dynamic and zero memory nonlinear elements can be identified in terms of the individual component subsystems from measurements of the system input and output only. |
| doi_str_mv | 10.1016/0005-1098(82)90022-X |
| format | Article |
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Previous results by the authors based on correlation analysis are combined to provide a unified treatment for this class of systems. It is shown that systems composed of cascade, feedforward, feedback and multiplicative connections of linear dynamic and zero memory nonlinear elements can be identified in terms of the individual component subsystems from measurements of the system input and output only.</abstract><pub>Elsevier Ltd</pub><doi>10.1016/0005-1098(82)90022-X</doi><tpages>12</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0005-1098 |
| ispartof | Automatica (Oxford), 1982, Vol.18 (1), p.15-26 |
| issn | 0005-1098 1873-2836 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_23378518 |
| source | Elsevier ScienceDirect Journals |
| subjects | computer-aided design correlation theory Identification nonlinear control systems nonlinear systems stochastic systems |
| title | Identification of systems containing linear dynamic and static nonlinear elements |
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