IEEE TRANSACTIONS ON AUTOMATIC CONTROL, vol.60, no.11, pp.3089-3094, 2015 (SCI-Expanded)
Article / Article
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
Science Citation Index Expanded (SCI-EXPANDED), Scopus
Artificial potentials, dynamic game theory, dynamic multi-agent systems, finite horizon, Nash equilibrium, social foraging, swarming behavior, SYSTEMS, COMPLEXITY, STABILITY
TED University Affiliated:
Foraging swarms in one-dimensional motion with incomplete position information are studied in the context of a noncooperative differential game. In this game, the swarming individuals act with partial information as it is assumed that each agent knows the positions of only the adjacent ones. It is shown that a Nash equilibrium solution that exhibits many features of a foraging swarm such as movement coordination, self-organization, stability, and formation control exists.