Arrangement for modeling a non-linear process

PCT No. PCT/DE94/00776 Sec. 371 Date Jan. 16, 1996 Sec. 102(e) Date Jan. 16, 1996 PCT Filed Jul. 6, 1994 PCT Pub. No. WO95/02855 PCT Pub. Date Jan. 26, 1995An arrangement for modeling a non-linear process including at least one input variable (x1, x2) and at least one output variable (y) can include...

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Hauptverfasser:	LINZENKIRCHNER, EDMUND
Format:	Patent
Sprache:	eng
Schlagworte:	CONTROL OR REGULATING SYSTEMS IN GENERAL CONTROLLING FUNCTIONAL ELEMENTS OF SUCH SYSTEMS MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS ORELEMENTS PHYSICS REGULATING
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Zusammenfassung:	PCT No. PCT/DE94/00776 Sec. 371 Date Jan. 16, 1996 Sec. 102(e) Date Jan. 16, 1996 PCT Filed Jul. 6, 1994 PCT Pub. No. WO95/02855 PCT Pub. Date Jan. 26, 1995An arrangement for modeling a non-linear process including at least one input variable (x1, x2) and at least one output variable (y) can include a neural network and a device for specifying functional (or operational) values. A function of the neural network is determined in a first part of the domain of input variables (x1, x2) by learning from measuring data, which are obtained from the process by acquiring measured values. An empirically based device for specifying functional (or operational) values, preferably a fuzzy system, is provided in a second part of the domain of input variables (x1, x2) in which there are no measuring data for training the neural network. This arrangement is particularly useful when it is implemented in controllers.