2020
DOI: 10.1002/rnc.5045
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Stabilization of linear systems with time‐varying input delay by event‐triggered delay independent truncated predictor feedback

Abstract: This paper deals with the problem of stabilization of linear systems with time-varying input delay by an event-triggered delay independent truncated predictor feedback law, either of the state feedback type or the output feedback type. Only the information of a delay bound rather than the delay itself is required in the design of both control laws and event-triggering strategies. For both the state feedback case and the output feedback case, an admissible delay bound that guarantees the stabilizability of a ge… Show more

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Cited by 11 publications
(36 citation statements)
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“…In , the output-feedback truncated predictor-based controllers are proposed for LTI discrete-time systems with single known/unknown time-varying input delay. In (Xie, Wei, & Lin, 2020), the event-triggered mechanism was combined with the truncated predictor-based controller for reducing the computational load when stabilising an LTI TDS with a time-varying input delay.…”
Section: Truncated Predictor-based Controllers Of Systems With Known/...mentioning
confidence: 99%
See 1 more Smart Citation
“…In , the output-feedback truncated predictor-based controllers are proposed for LTI discrete-time systems with single known/unknown time-varying input delay. In (Xie, Wei, & Lin, 2020), the event-triggered mechanism was combined with the truncated predictor-based controller for reducing the computational load when stabilising an LTI TDS with a time-varying input delay.…”
Section: Truncated Predictor-based Controllers Of Systems With Known/...mentioning
confidence: 99%
“…Such a protocol brings in the capacity to determine the most indispensable execution instants of sensing/controlling: the sensor measurements/control law updates will only be permitted when some predetermined switching conditions are satisfied. For linear systems, the event-triggered predictor-based control has been conducted in (Selivanov & Fridman, 2016bZhu & Fridman, 2021) through the continuous-time approach and Yang & Zheng, 2019;Léchappé et al, 2019;Xie et al, 2020;González, 2021) by means of the discrete-time method. More recently, the authors of (Nozari, Tallapragada, & Cortés, 2020;Sun, Yang, & Zeng, 2022) developed event-triggered predictor-based controllers for nonlinear TDSs with time-varying delays or model uncertainties.…”
Section: Dynamic Event-triggered Predictor-based Controllersmentioning
confidence: 99%
“…In [4], an adaptive event-trigged control was proposed for uncertain nonlinear systems. Then, in [1], [8], [9], [12], there were various results of event-triggered control for input-delayed linear systems where the input delay is either constant, or time-varying but known. Up to now, based on our survey, there have been much less results on event-triggered control for input-delayed feedforward systems.…”
Section: Introductionmentioning
confidence: 99%
“…Numerous articles on delay systems assume that the delay, including constant delay and time‐varying delay, is fixed 9‐13 . Other articles involve delay effects on stability, convergence rate, consensus, and so on 14‐16 .…”
Section: Introductionmentioning
confidence: 99%
“…Numerous articles on delay systems assume that the delay, including constant delay and time-varying delay, is fixed. [9][10][11][12][13] Other articles involve delay effects on stability, convergence rate, consensus, and so on. [14][15][16] Frequency domain methods were utilized to study delay margin problems, which aim to determine the largest time delay 𝜏 max , such that for any 𝜏 < 𝜏 max , there exists a linear time-invariant controller that stabilizes the delay system for any delay in [0, 𝜏]; 14,17,18 Delay effects on stability were considered and delay ranges within which systems are stable were characterized in References 19 and 20; The effect of delay on the convergence rate of a retarded delay system was studied via the Lambert W function by Reference 21; A consensus protocol for multi-agent systems subject to communication delays was proposed and a delay range within which the systems achieve consensus was presented in Reference 15.…”
Section: Introductionmentioning
confidence: 99%