
This paper considers a second-order consensus problem for multiagent systems with nonlinear dynamics and directed topologies where each agent is governed by both position and velocity consensus terms with a time-varying asymptotic velocity. To describe the system's ability for reaching consensus, a new concept about the generalized algebraic connectivity is defined for strongly connected networks and then extended to the strongly connected components of the directed network containing a spanning tree. Some sufficient conditions are derived for reaching second-order consensus in multiagent systems with nonlinear dynamics based on algebraic graph theory, matrix theory, and Lyapunov control approach. Finally, simulation examples are given to verify the theoretical analysis.
ADAPTIVE SYNCHRONIZATION, COMPLEX NETWORKS, LEADER, multiagent system, DELAYS, second-order consensus, Models, Theoretical, Algebraic connectivity, strongly connected network, Decision Support Techniques, MODEL, Nonlinear Dynamics, Artificial Intelligence, GLOBAL SYNCHRONIZATION, ARRAY, Computer Simulation, NEURAL-NETWORKS, directed spanning tree, Algorithms
ADAPTIVE SYNCHRONIZATION, COMPLEX NETWORKS, LEADER, multiagent system, DELAYS, second-order consensus, Models, Theoretical, Algebraic connectivity, strongly connected network, Decision Support Techniques, MODEL, Nonlinear Dynamics, Artificial Intelligence, GLOBAL SYNCHRONIZATION, ARRAY, Computer Simulation, NEURAL-NETWORKS, directed spanning tree, Algorithms
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