Design of sliding-mode observer for a class of uncertain neutral stochastic systems

Liu, Zhen; Zhao, Lin; Zhu, Quanmin; Gao, Cunchen

doi:10.1080/00207721.2016.1258597

Cited by 11 publications

(5 citation statements)

References 46 publications

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“…Remark 7: Liu et al (2017a, 2017b) proposed sliding mode observers for time-delay systems with uncertainties. Comparing the proposed method with Liu’s methods in case 1, when the disturbance maintain is in the magnitude of 10 −3 , the finite-time fault diagnosis one implements more accurate fault diagnosis, when the disturbance becomes larger (the magnitude beyond 10 −2 ), Liu et al’s observers have better fault estimation results.…”

Section: Simulationsmentioning

confidence: 99%

“…Comparing the proposed method with Liu’s methods in case 1, when the disturbance maintain is in the magnitude of 10 −3 , the finite-time fault diagnosis one implements more accurate fault diagnosis, when the disturbance becomes larger (the magnitude beyond 10 −2 ), Liu et al’s observers have better fault estimation results. The methods in Liu et al (2017a, 2017b) provide new ideas to solve the fault diagnosis problem with large disturbance for ACSs model based on descriptor systems in further study.…”

Section: Simulationsmentioning

confidence: 99%

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Finite-time sensor fault diagnosis observer design for attitude control systems of satellite based on sampled-data descriptor systems

Tao

Wang

Huang

2019

Transactions of the Institute of Measurement and Control

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In this paper, a finite-time robust sensor fault diagnosis observer with non-singular structure is proposed for Attitude Control Systems of satellite based on Lipschitz non-linear sampled-data descriptor systems with state time-varying delay. Firstly, an Attitude Control Systems model based on sampled-data descriptor system with time-varying delay is proposed and transformed into a discrete-time non-singular one. Then, a sensor fault diagnosis observer is designed upon on the state estimation error and the measurement residual. The finite-time stability and robustness of the augmented error dynamic model is analyzed, the H infinity performance index in finite-time is satisfied. As the confining matrices of the observer parameters do not meet the Linear Matrix Inequality, a cone complementary linearization iteration algorithm is proposed to solve this problem. Residual evaluation function and the threshold are introduced for judging if the faults occur. At the end, simulation examples are given to illustrate the effectiveness of this method.

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Section: Simulationsmentioning

confidence: 99%

Section: Simulationsmentioning

confidence: 99%

Finite-time sensor fault diagnosis observer design for attitude control systems of satellite based on sampled-data descriptor systems

Tao

Wang

Huang

2019

Transactions of the Institute of Measurement and Control

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“…(Q1) How to design an integral sliding surface with a compensator for this considered system? In fact, (Q1) has been successfully solved in [21,24], however, it has not been fully solved in uncertain neutral‐type systems, especially for uncertain NTSTD based on the observer method. (Q2) How to obtain an easy condition to ensure that the sliding mode dynamic (SMD) satisfies desirable performances?…”

Section: Introductionmentioning

confidence: 99%

Robust control for a class of uncertain neutral‐type systems with time‐varying delays

Meng

Gao

Liu

et al. 2020

Asian Journal of Control

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This paper investigates the problem of robust H∞ asymptotic stabilization for a class of uncertain neutral‐type systems with time‐varying delays. A sufficient condition is obtained to ensure the considered system is robust asymptotic stabilization with disturbance attenuation level γ, which is based on the sliding mode observer framework. Meanwhile, a novel integral sliding surface function with the compensator is proposed to make sure the considered system can be stabilized. And the gain matrix is obtained by solving a strict linear matrix inequality. Finally, two numerical examples are provided to demonstrate the validity and potential of the proposed method.

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“…In Sarkodie et al (2018), the use of infrared sensors for the estimation of the mass flow rate of the gas-liquid mixture and its correlation with flow characteristics, for example, flow regimes, phase fractions, and total pressure drops, has been reviewed. Some papers have studied the flow characteristics of a special type of multiphase flow like high-viscosity multiphase crude oil or shale gas multiphase flow (Baba et al, 2017; Liu et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Multi-phase flow measurement in a gas refinery using decentralized Lyapunov–based adaptive observer

Farahani

Montazeri

2020

Transactions of the Institute of Measurement and Control

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This paper presents a new Lyapunov-based nonlinear adaptive observer and joint unscented Kalman filter to precisely estimate the states and the parameters for the low-order lumped model of the multi-phase flow at the gas refinery. The main focus of the study is to estimate the discharge coefficient of the orifice meter installed on the interconnection lines of the subsystems (parameters) and the total oil and gas mass flows (states). The adaptive estimation is conducted using the real-time measurements including choke pressure, bottom line pressure, single-phase gas flow, and single-phase liquid flow in the refinery outlet. To check the stability and performance of the system against changes, the Lyapunov theory has been used. In all stages, the investigations were based on the data collected from the actual process in the South Pars Gas Complex, Iran. Using the dynamic HYSYS simulation, it is found that the proposed adaptive observer is capable of estimating the oil and gas flows and identifying the discharge coefficient of the flow meter at issue. To show the performance of the proposed adaptive observer, it is evaluated against and compared with the unscented Kalman filter. The comparison of the results obtained from the proposed observer, unscented Kalman filter, and dynamic HYSYS simulation with data collected from the actual process of the refinery shows the appropriate performance of the both estimation algorithms in detecting the changes in liquid and gas flow rates and the consistency of their results with the real process in the South Pars Gas Complex. The simulations reveal that low-order lumped model is sufficient for estimation of parameters and states of the multiphase flow entering the gas refinery.

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Design of sliding-mode observer for a class of uncertain neutral stochastic systems

Cited by 11 publications

References 46 publications

Finite-time sensor fault diagnosis observer design for attitude control systems of satellite based on sampled-data descriptor systems

Finite-time sensor fault diagnosis observer design for attitude control systems of satellite based on sampled-data descriptor systems

Robust control for a class of uncertain neutral‐type systems with time‐varying delays

Multi-phase flow measurement in a gas refinery using decentralized Lyapunov–based adaptive observer

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