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Global Consensus Tracking Control for High-Order Nonlinear Multiagent Systems With Prescribed Performance

Zeqiang Li, Yujuan Wang, Yongduan Song, Wei Ao

2022IEEE Transactions on Cybernetics70 citationsDOI

Abstract

In this article, we investigate the prescribed performance tracking control problem for high-order nonlinear multiagent systems (MASs) under directed communication topology and unknown control directions. Different from most existing prescribed performance consensus control methods where certain initial conditions are needed to be satisfied, here the restriction related to the initial conditions is removed and global tracking result irrespective of initial condition is established. Furthermore, output consensus tracking is achieved asymptotically with arbitrarily prescribed transient performance in spite of the directed topology and unknown control directions. Our development benefits from the performance function and prescribed-time observer. Both theoretical analysis and numerical simulation confirm the validity of the developed control scheme.

Topics & Concepts

Control theory (sociology)Nonlinear systemObserver (physics)Multi-agent systemTracking (education)Computer scienceControl (management)Function (biology)Topology (electrical circuits)ConsensusScheme (mathematics)Transient (computer programming)MathematicsMathematical optimizationArtificial intelligenceEvolutionary biologyBiologyMathematical analysisOperating systemQuantum mechanicsPsychologyPhysicsPedagogyCombinatoricsDistributed Control Multi-Agent SystemsAdaptive Control of Nonlinear SystemsStability and Control of Uncertain Systems
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