2019
DOI: 10.1080/00207179.2018.1562204
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Robust predictive extended state observer for a class of nonlinear systems with time-varying input delay

Abstract: This paper deals with asymptotic stabilization of a class of nonlinear input-delayed systems via dynamic output-feedback in the presence of disturbances. The proposed strategy has the structure of an observer-based control law, in which the observer estimates and predicts both the plant state and the external disturbance. A nominal delay value is assumed to be known and stability conditions in terms of linear matrix inequalities are derived for fast-varying delay uncertainties. Asymptotic stability is achieved… Show more

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Cited by 19 publications
(10 citation statements)
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“…Next, an extended-state predictive observer similar to (50) was proposed in (Sanz, García, Fridman, & Albertos, 2017;Sanz, Garcia, Fridman, & Albertos, 2018) to solve the control problems of nonlinear systems under time-varying input delays. In (Sanz, García, Fridman, & Albertos, 2020), the sequential version of (Sanz, García, et al, 2017) was combined with a disturbance compensation strategy in order to reduce the conservatism and improve the robustness simultaneously.…”
Section: Observation-predictor-based Control Of Systems With Time Delaysmentioning
confidence: 99%
“…Next, an extended-state predictive observer similar to (50) was proposed in (Sanz, García, Fridman, & Albertos, 2017;Sanz, Garcia, Fridman, & Albertos, 2018) to solve the control problems of nonlinear systems under time-varying input delays. In (Sanz, García, Fridman, & Albertos, 2020), the sequential version of (Sanz, García, et al, 2017) was combined with a disturbance compensation strategy in order to reduce the conservatism and improve the robustness simultaneously.…”
Section: Observation-predictor-based Control Of Systems With Time Delaysmentioning
confidence: 99%
“…subject to ( 23), ( 24), (25), ℙ ≺ 𝜆I (d M +1)×n (31) with 𝜅 1 and 𝜅 2 tuning weighting on 𝜆 and 𝜇. The length of the semi-minor axis can then be computed by 𝜔 b = 𝜆 −1∕2 max , where 𝜆 max is the maximum eigenvalue of the matrix ℙ𝜇 −1 .…”
Section: Maximisation Of the Plant Initial Conditions Setmentioning
confidence: 99%
“…Nonetheless, due to the growing importance of Networked Control Systems (NCSs) [21][22][23], the problem of time-varying delays started to gain more importance in the recent years when compared to the case of constant delays (even if the constant delay is uncertain). To cite a few works, the stability of structures for the control of time-varying delay systems has recently been studied along the problems of linear timevarying (LTV) processes [24], non-linear systems [25], nonminimum phase systems [26], and mismatched disturbances [27]. In this case, the traditional DTC will no longer be able to provide perfect compensation of the delay, that is, will not be able to eliminate the delay from the feedback loop, which is its main characteristic.…”
Section: Introductionmentioning
confidence: 99%
“…According to the three stages of the E-H mode switching process, the expressions of the initial target torque of each power sources shown in eq. (22)(23)(24)(25)(26)(27)(28)(29)(30) are derived.…”
Section: The Coordinated Control Strategy Based On Ilesomentioning
confidence: 99%
“…Most of the anti-interference methods mentioned above accurately estimate the system interference by designing an observer, and then achieve the effect of interference suppression through appropriate compensation control, thereby achieving excellent robust stability of the entire closed-loop system. The extended state observer (ESO) [27] is a commonly used tool for estimating interference and parameter uncertainty. Yao and Deng [28] designed a TLESO with a maximum observer gain of 42875, which makes it relatively sensitive to noise, and is prone to slow convergence and low accuracy.…”
Section: Introductionmentioning
confidence: 99%