AI Article Synopsis

  • - This paper examines the challenge of creating a quantized event-triggered integral sliding mode controller for uncertain linear systems connected through a network
  • - It introduces a new ISM surface that uses quantized states to improve controller design and establishes updated conditions to determine when to adjust control signals
  • - The research demonstrates that minimum time between control updates can be achieved, preventing issues like the Zeno phenomenon, and supports its findings with two simulation results

Article Abstract

This paper investigates the design problem of quantized event-triggered (ET) integral sliding mode (ISM, SM) controller for uncertain networked linear systems. Firstly, this paper proposes a novel ISM surface constructed using only quantized ET states and applied to the design of the controller. The quantized ET ISM surface in this paper divides the integrals from t to t into the sum of adjacent ET intervals and replaces ET states with quantized ET states. Secondly, based on state error and quantized ET SM error, novel ET conditions are constructed to decide whether to update the current control signal or not. Thirdly, this paper proves the existence of minimum inter-event times under "zoom-out" and "zoom-in" phases respectively, avoiding Zeno phenomenon. Finally, to prove the validity of the proposed method, two comparative simulation results are given.

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Source
http://dx.doi.org/10.1016/j.isatra.2024.09.025DOI Listing

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