Output feedback control for unknown LTI systems driven by unknown periodic disturbances

Yılmaz, Cemal; Baştürk, Halil İbrahim

doi:10.1016/j.automatica.2018.10.020

Cited by 19 publications

(15 citation statements)

References 23 publications

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“…However, disturbances with unknown information widely exist in practical engineering . As a key control scheme, the adaptive technique has been developed for suppressing periodic disturbance signals with unknown frequencies, phases, and amplitudes . In the work of Ding, a new type of Nussbaum gain was proposed to deal with adaptive consensus control of network‐connected systems without any knowledge of the high frequency gains.…”

Section: Introductionmentioning

confidence: 99%

“…The main contributions are summarized as follows: 1.Different from the current works, the uncertain modeled disturbance with unknown frequency and amplitudes is considered, which greatly expanded the range of the system disturbances. 2.The technical difficulties come from the unpredictability of modeled disturbance parameters, which lead to the uncertainty of the disturbance model.…”

Section: Introductionmentioning

confidence: 99%

“…[19][20][21][22] As a key control scheme, the adaptive technique has been developed for suppressing periodic disturbance signals with unknown frequencies, phases, and amplitudes. [23][24][25][26] In the work of Ding, 23 a new type of Nussbaum gain was proposed to deal with adaptive consensus control of network-connected systems without any knowledge of the high frequency gains. In the work of Jafari et al, 24 a robust adaptive scheme was proposed for rejection of unknown periodic components of the disturbance and analyzed its stability and performance properties.…”

Section: Introductionmentioning

confidence: 99%

“…1. Different from the current works, [14][15][16][17][18][23][24][25][26] the uncertain modeled disturbance with unknown frequency and amplitudes is considered, which greatly expanded the range of the system disturbances. 2.…”

Section: Introductionmentioning

confidence: 99%

“…In the work of Pin et al, a novel adaptive observer‐based estimator is proposed to address the problem of disturbances with unknown information for a biased and perturbed multisinusoidal signal. In the work of Yilmaz and Basturk, an adaptive output‐feedback scheme was proposed by combining K‐filter technique and adaptive back‐stepping procedure for the unknown LTI systems with unknown periodic disturbances. However, these current control methods only focus on single disturbance or integrate multiple disturbances into a new equivalent one.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Adaptive disturbance observer‐based control for stochastic systems with multiple heterogeneous disturbances

Wei

Dong

Zhang

et al. 2019

Intl J Robust & Nonlinear

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Summary Antidisturbance control problem is discussed for stochastic systems with multiple heterogeneous disturbances, which include the white noise and the disturbance with unknown frequencies and amplitudes. An adaptive disturbance observer is designed to estimate the disturbance with unknown frequencies and amplitudes, based on which, an adaptive disturbance observer‐based control scheme is proposed by combining adaptive technique and linear matrix inequality method. It is proved that the closed‐loop system is asymptotically bounded in mean square when multiple heterogeneous disturbances exist simultaneously and that the equilibrium is globally asymptotically stable in probability as additive disturbance disappears. Finally, two simulation examples, including a wind turbine system, are given to show the effectiveness of the proposed scheme.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Adaptive disturbance observer‐based control for stochastic systems with multiple heterogeneous disturbances

Wei

Dong

Zhang

et al. 2019

Intl J Robust & Nonlinear

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Discrete time partial‐state feedback model reference disturbance rejection control

Sang

Zhang

2022

Adaptive Control & Signal

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This article develops a disturbance rejection control strategy using partial-state feedback model reference adaptive control for discrete-time uncertain systems with unknown input disturbances. Adaptive control schemes are proposed for constant disturbances, sinusoidal disturbances, and generic bounded disturbances. The partial-state feedback control is designed based on measurable signals and the parameterization method to counteract the effect of disturbances.The plant-model output matching condition is established. The developed control law is more flexible for applications and has a more concise structure than output feedback control. Additionally, closed-loop stability and asymptotic output tracking are derived. The effectiveness and the feasibility of partial-state feedback disturbance rejection control are verified by simulation results.

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Event‐triggered dynamic output feedback control for networked nonlinear systems

Liu

Shi

2020

Intl J Robust & Nonlinear

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In this article, the problem of event-triggered dynamic output feedback control is investigated for a class of networked nonlinear systems with mixed delays and packet dropouts. By applying the cone complementary linearization technique, sufficient conditions are developed such that the resulting closed-loop system dynamics is mean square asymptotically stable with a desired  ∞ performance level. The effectiveness of the proposed method is demonstrated via an illustrative example.

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Output feedback control for unknown LTI systems driven by unknown periodic disturbances

Cited by 19 publications

References 23 publications

Adaptive disturbance observer‐based control for stochastic systems with multiple heterogeneous disturbances

Adaptive disturbance observer‐based control for stochastic systems with multiple heterogeneous disturbances

Discrete time partial‐state feedback model reference disturbance rejection control

Event‐triggered dynamic output feedback control for networked nonlinear systems

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