Bipartite Average Tracking for Multi-Agent Systems With Disturbances: Finite-Time and Fixed-Time Convergence
Tao Han, Zhi‐Hong Guan, Bo Xiao, Huaicheng Yan
Abstract
This paper addresses the finite-time and fixed-time bipartite average tracking (BAT) problems in multi-agent systems (MASs) subject to bounded disturbances. A novel non-smooth protocol is first constructed on the basis of utilizing the finite-time control method, which can realize the finite-time BAT with structurally balanced graph. Then, the fixed-time BAT problem is dealt with nonlinear fixed-time algorithm, the setting time of which is obtained without depending on initial states. By employing Lyapunov stability theory, some sufficient criteria are obtained to achieve the finite-time and fixed-time BAT for MASs with disturbances. Numerical examples are finally developed for illustration.
Topics & Concepts
Convergence (economics)Bounded functionMathematicsBipartite graphNonlinear systemControl theory (sociology)Lyapunov functionGraphComputer scienceControl (management)Mathematical analysisDiscrete mathematicsEconomicsPhysicsArtificial intelligenceEconomic growthQuantum mechanicsDistributed Control Multi-Agent SystemsAdaptive Control of Nonlinear SystemsAdaptive Dynamic Programming Control