http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-106935033-B

Outgoing Links

Predicate Object
classificationCPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G08G1-0125
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G08G1-0145
classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G08G1-01
filingDate 2017-04-28-04:00^^<http://www.w3.org/2001/XMLSchema#date>
grantDate 2020-07-28-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationDate 2020-07-28-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-106935033-B
titleOfInvention Iterative dynamic linearization and self-learning control method of expressway traffic system
abstract the invention relates to the technical field of express way traffic control, in particular to an iterative dynamic linearization and self-learning control method of an express way traffic system, which comprises the following steps of (1) establishing a space discrete traffic model of the express way traffic system, (2) representing the space discrete traffic model in the form of a general nonlinear discrete time system, (3) converting the general nonlinear discrete time model into a dynamic linearization data model, and (4) establishing a learning control law and a parameter updating law of the dynamic linearization data model.
priorityDate 2017-04-28-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

Incoming Links

Predicate Subject
isDiscussedBy http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID28718
http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID419513094

Total number of triples: 13.