Multi-agent collective behaviors analysis and applications in complex networks and systems

摘要: Cooperative and collective behaviors in networks of multiple autonomous agents have received considerable attention recent years due to the growing interest understanding intriguing animal group behaviors, such as flocking swarming, also their emerging broad applications sensor networks, UAV (Unmanned Air Vehicles) formations, robotic teams, name just a few. To coordinate with other network, every agent needs share information its adjacent peers so that all can agree on common goal interest. Recently, some progress has been made analyzing dynamical for which closely related focal topics are synchronization, consensus, swarming flocking. In this thesis, multi-agent (specifically, flocking) potential investigated. particular, following issues studied detail: (a) firstorder consensus systems nonlinear dynamics; (b) second-order time delays linear or (c) higher-order systems; (d) stability analysis behavioral model hybrid profiles; (e) distributed leader-follower control time-varying velocities; (f) adaptive pinning network controls complex (g) estimating uncertain delayed genetic regulatory filtering networks. The main contributions thesis summarized follows: generalized algebraic connectivity framework is proposed describe