Sequential Predictors for Uncertain Euler–Lagrange Systems with Large Transmission Delays

This paper investigates the state prediction problems for uncertain Euler–Lagrange systems with large time delays during data transmissions. A set of sequential predictors is proposed to estimate the actual real-time states of the systems by using the delayed information of measurements. The arbitra...

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Main Authors: Shaobo Shen, Liyue Fu, Aiguo Song, Tao Li
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Fractal and Fractional
Subjects:
Online Access:https://www.mdpi.com/2504-3110/7/3/244
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author Shaobo Shen
Liyue Fu
Aiguo Song
Tao Li
author_facet Shaobo Shen
Liyue Fu
Aiguo Song
Tao Li
author_sort Shaobo Shen
collection DOAJ
description This paper investigates the state prediction problems for uncertain Euler–Lagrange systems with large time delays during data transmissions. A set of sequential predictors is proposed to estimate the actual real-time states of the systems by using the delayed information of measurements. The arbitrarily large delays are handled by applying adequate numbers of serial sub-predictors. Meanwhile, the novel prediction structure of each subsystem is designed to deal with nonlinearities and unknown dynamics in the systems. Then, the predictor design is extended to the case without using delayed velocity measurements by updating the structure of the first sub-predictor. Sufficient conditions for the design of predictor gains, ensuring the boundness of prediction errors, are obtained through Lyapunov–Krasovskii functionals. The effectiveness and robustness of the uncertainties of the proposed method are verified by comparative results in simulations.
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spelling doaj.art-18f20f041938489697a8826862f3d3c12023-11-17T11:12:20ZengMDPI AGFractal and Fractional2504-31102023-03-017324410.3390/fractalfract7030244Sequential Predictors for Uncertain Euler–Lagrange Systems with Large Transmission DelaysShaobo Shen0Liyue Fu1Aiguo Song2Tao Li3School of Microelectronics and Control Engineering, Changzhou University, Changzhou 213164, ChinaSchool of Automation and Electrical Engineering, Linyi University, Linyi 276000, ChinaSchool of Instrument Science and Engineering, Southeast University, Nanjing 210096, ChinaSchool of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, ChinaThis paper investigates the state prediction problems for uncertain Euler–Lagrange systems with large time delays during data transmissions. A set of sequential predictors is proposed to estimate the actual real-time states of the systems by using the delayed information of measurements. The arbitrarily large delays are handled by applying adequate numbers of serial sub-predictors. Meanwhile, the novel prediction structure of each subsystem is designed to deal with nonlinearities and unknown dynamics in the systems. Then, the predictor design is extended to the case without using delayed velocity measurements by updating the structure of the first sub-predictor. Sufficient conditions for the design of predictor gains, ensuring the boundness of prediction errors, are obtained through Lyapunov–Krasovskii functionals. The effectiveness and robustness of the uncertainties of the proposed method are verified by comparative results in simulations.https://www.mdpi.com/2504-3110/7/3/244Euler–Lagrange systemtime delaypredictorstate estimationtransmission delay
spellingShingle Shaobo Shen
Liyue Fu
Aiguo Song
Tao Li
Sequential Predictors for Uncertain Euler–Lagrange Systems with Large Transmission Delays
Fractal and Fractional
Euler–Lagrange system
time delay
predictor
state estimation
transmission delay
title Sequential Predictors for Uncertain Euler–Lagrange Systems with Large Transmission Delays
title_full Sequential Predictors for Uncertain Euler–Lagrange Systems with Large Transmission Delays
title_fullStr Sequential Predictors for Uncertain Euler–Lagrange Systems with Large Transmission Delays
title_full_unstemmed Sequential Predictors for Uncertain Euler–Lagrange Systems with Large Transmission Delays
title_short Sequential Predictors for Uncertain Euler–Lagrange Systems with Large Transmission Delays
title_sort sequential predictors for uncertain euler lagrange systems with large transmission delays
topic Euler–Lagrange system
time delay
predictor
state estimation
transmission delay
url https://www.mdpi.com/2504-3110/7/3/244
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AT liyuefu sequentialpredictorsforuncertaineulerlagrangesystemswithlargetransmissiondelays
AT aiguosong sequentialpredictorsforuncertaineulerlagrangesystemswithlargetransmissiondelays
AT taoli sequentialpredictorsforuncertaineulerlagrangesystemswithlargetransmissiondelays