Finite‐time adaptive consensus of stochastic multi‐agent systems with node‐based and edge‐based adaptive law design methods
Guanli Xiao, JinRong Wang, Yumei Liao
Abstract
Summary This article investigates the finite‐time consensus control for stochastic multi‐agent systems (SMASs) by using adaptive techniques. First, we propose a finite‐time adaptive consensus protocol for SMASs with node‐based adaptive law design method. Second, a finite‐time adaptive consensus protocol is also proposed for SMASs by adding a dynamical scaling parameter to the weights on the edges of the communication graph. Finally, two simulation examples are provided to verify the effectiveness of the two consensus protocols.
Topics & Concepts
Computer scienceNode (physics)Protocol (science)Multi-agent systemAdaptive controlConsensusGraphMathematical optimizationControl theory (sociology)MathematicsTheoretical computer scienceArtificial intelligenceControl (management)EngineeringStructural engineeringAlternative medicineMedicinePathologyDistributed Control Multi-Agent SystemsNeural Networks Stability and SynchronizationMathematical and Theoretical Epidemiology and Ecology Models