Predicate |
Object |
assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_308cf84ee9b8bddbcaffa1709d39a2f4 |
classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/B60W2050-0057 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/F16H2061-0087 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/F16H2061-0081 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/F16H2061-0084 |
classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G05B13-0295 |
classificationIPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/B60W50-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/F16H61-00 |
classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G05B13-02 |
filingDate |
1999-01-12^^<http://www.w3.org/2001/XMLSchema#date> |
inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_b77bad59bb9a880af676b05dd15f2fb7 |
publicationDate |
1999-07-22^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber |
DE-19900847-A1 |
titleOfInvention |
Method and device for regulating a drive system of a machine and / or a system |
abstract |
The machine system has a drive system that is operated in a closed loop mode in which algorithms respond to measured data and to reference data. In order to handle abnormal conditions the system has an adaptive control strategy that is based upon a neural network that provides a self learning capability. |
isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/EP-1081845-B1 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/FR-2886918-A1 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-7890225-B2 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/EP-1081845-A2 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2006131622-A1 |
priorityDate |
1998-01-14^^<http://www.w3.org/2001/XMLSchema#date> |
type |
http://data.epo.org/linked-data/def/patent/Publication |