Planning and Coordination in Hierarchies of Intelligent Dynamic Systems
Abstract: On the basis of the
known principle of interactions prediction (Mesarovic), our earlier proposed
incremental coordination principle is extended over hierarchical collectives of
intelligent dynamic systems (IDSs) after Gennady Osipov. Such systems admit arbitrary
types of variables in their state vector and thereby allow investigating more
general dynamic systems than “classical” ones defined in numerical state
spaces. Using the concept of effective N-attainability (Osipov), a
straightforward procedure of planning for hierarchical collectives of IDS is
developed. As soon as a plan for reaching a goal state from the current one is
found, effective implementation of this plan requires for coordination of IDSs
taking their parts in the collective. We consider both aspects of coordination
(coordinability with respect to the coordinator’s task and coordinability in
relation to the global task) and infer necessary conditions of the
coordinability for a locally organized hierarchy of IDSs.
Keywords: intelligent dynamic
system; incremental coordination; direct planning; locally organized hierarchy
Author: Alexander Yakovlevich
Fridman
Journal Code: jptkomputergg160015
