To　attain　adaptive　online　learning　capability　of　behaviors　coordination　and　cooperation　for　the　distributed　intelligent　control　system　which　is　situated　in　variational　and　open　environment,　the　coevolution　technique　was　introduced.　It　adopted　the　method　of　decomposing　the　complex　distributed　control　system　into　basic　behavior　modules,　and　constructed　them　into　the　multi-agent　system　whose　behaviors　can　coevolve.　The　distributed　parallel　coevolution　learning　mechanism　and　its　algorithms　were　designed.　It　makes　each　basic　behavior　rule-base　and　global　behavior　coordination　rule-base　coevolve,　consequently,　the　local　control　and　global　behavior　coordination　obtain　adaptive　online　learning　capability.　The　system　is　simple　and　flexible,　and　may　be　applied　to　embedded　distributed　control　system　operating　at　limited　resource.