Synchronization of nonlinear multi-agent systems using a non-fragile sampled data control approach and its application to circuit systems
Stephen Arockia Samy, R. Raja, Pratap Anbalagan, Yang Cao
Abstract
The main aim of this work is to design a non-fragile sampled data control (NFSDC) scheme for the asymptotic synchronization criteria for interconnected coupled circuit systems (multi-agent systems, MASs). NFSDC is used to conduct synchronization analysis of the considered MASs in the presence of time-varying delays. By constructing suitable Lyapunov functions, sufficient conditions are derived in terms of linear matrix inequalities (LMIs) to ensure synchronization between the MAS leader and follower systems. Finally, two numerical examples are given to show the effectiveness of the proposed control scheme and less conservation of the proposed Lyapunov functions.
Topics & Concepts
Synchronization (alternating current)Control theory (sociology)Nonlinear systemLyapunov functionScheme (mathematics)Computer scienceControl (management)MathematicsTelecommunicationsQuantum mechanicsMathematical analysisChannel (broadcasting)Artificial intelligencePhysicsDistributed Control Multi-Agent SystemsNeural Networks Stability and SynchronizationStability and Control of Uncertain Systems