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Proportional-Integral Event-Triggered Control of Networked Systems With Unmatched Uncertainties

Jiliang Song, Dawei Shi, Yang Shi, Junzheng Wang

2021IEEE Transactions on Industrial Electronics19 citationsDOI

Abstract

This article proposes a proportional-integral (PI) event-triggered control strategy for networked nonlinear systems subject to unmatched uncertainties. The influences of the unmatched uncertainties and external disturbances on the output channel are attenuated by an extended-state-observer-based output feedback controller through a state transformation. The outputs of the controller are transmitted in an event-triggered fashion by comparing the difference between the current sampling error and its integration with respect to time. We prove the stability of the closed-loop event-triggered control system by regulating the trajectories of the observation and tracking errors into a compact set. Further, the relationships between the control performance and designed parameters are investigated quantitatively. In addition, Zeno-freeness is guaranteed by proving the existence of a nonzero minimum inter-event time. Finally, the effectiveness of the proposed PI-type event-triggered control strategy in reducing signal transmission rate is validated through numerical examples and various experiments.

Topics & Concepts

Control theory (sociology)Controller (irrigation)Observer (physics)Transformation (genetics)Computer scienceControl systemNonlinear systemStability (learning theory)Tracking errorControl (management)MathematicsEngineeringArtificial intelligenceGenePhysicsElectrical engineeringAgronomyMachine learningChemistryBiologyQuantum mechanicsBiochemistryStability and Control of Uncertain SystemsAdaptive Control of Nonlinear SystemsNeural Networks Stability and Synchronization