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Fractional-Order Interval Observer for Multiagent Nonlinear Systems

Haoran Zhang, Jun Huang, Siyuan He

2022Fractal and Fractional19 citationsDOIOpen Access PDF

Abstract

A framework of distributed interval observers is introduced for fractional-order multiagent systems in the presence of nonlinearity. First, a frame was designed to construct the upper and lower bounds of the system state. By using monotone system theory, the positivity of the error dynamics could be ensured, which implies that the bounds could trap the original state. Second, a sufficient condition was applied to guarantee the boundedness of distributed interval observers. Then, an extension of Lyapunov function in the fractional calculus field was the basis of the sufficient condition. An algorithm associated with the procedure of the observer design is also provided. Lastly, a numerical simulation is used to demonstrate the effectiveness of the distributed interval observer.

Topics & Concepts

Observer (physics)Interval (graph theory)Nonlinear systemMathematicsExtension (predicate logic)Lyapunov functionControl theory (sociology)Fractional calculusMonotone polygonApplied mathematicsComputer scienceControl (management)CombinatoricsArtificial intelligenceGeometryProgramming languageQuantum mechanicsPhysicsDistributed Control Multi-Agent SystemsAdaptive Control of Nonlinear SystemsNeural Networks Stability and Synchronization