Fault Estimation Sliding-Mode Observer With Digital Communication Constraints

Liu, Ming; Zhang, Lixian; Shi, Peng; Zhao, Yuxin

doi:10.1109/tac.2018.2794826

Cited by 134 publications

(57 citation statements)

References 17 publications

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“…According to (22) and Lemma 2, the boundary of the estimation errors in probability can be proved. In terms of Lemma 3, we can obtaiñ…”

Section: Due Tomentioning

confidence: 98%

“…In practical systems, many kinds of faults always exist and may result to the system being paralyzed. Therefore, detection and estimation of fault are particularly emphasized . Considering the existing fault estimation methods, Liu et al studied estimation and tolerant control of fault for Takagi‐Sugeno (T‐S) fuzzy stochastic systems.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, detection and estimation of fault are particularly emphasized. 14,[22][23][24][25][26][27][28][29] Considering the existing fault estimation methods, Liu et al 30 studied estimation and tolerant control of fault for Takagi-Sugeno (T-S) fuzzy stochastic systems. In the work of Jiang and Chowdhury, 31 the actuator fault estimation for a class of multiple-input-multiple-output stochastic systems was reported.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Fault estimation for a class of nonlinear semi‐Markovian jump systems with partly unknown transition rates and output quantization

Liang

Zhang

Karimi

et al. 2018

Intl J Robust & Nonlinear

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Summary This paper studies the fault estimation problem for a class of nonlinear semi‐Markovian jump systems with partly unknown transition rates and output quantization. Firstly, a mode‐dependent intermediate variable is designed, which constructs an intermediate estimator to estimate fault signals of system. Secondly, the partly unknown transition rates and output quantization are considered and the sufficient conditions of stability for the error system are given in three cases by linear matrix inequalities. Moreover, the proposed nonlinear function satisfies Lipschitz condition, which can be employed in a multitude of practical systems. Finally, simulation results are provided to illustrate the effectiveness of the proposed theoretical results.

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“…According to (22) and Lemma 2, the boundary of the estimation errors in probability can be proved. In terms of Lemma 3, we can obtaiñ…”

Section: Due Tomentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Fault estimation for a class of nonlinear semi‐Markovian jump systems with partly unknown transition rates and output quantization

Liang

Zhang

Karimi

et al. 2018

Intl J Robust & Nonlinear

View full text Add to dashboard Cite

show abstract

“…This leads to a big difficulty to design the update policy of quantization parameter. To avoid this problem, Tanwani et al and Liu et al assume that the quantizer is used to quantize

\overset{y}{true} = y - C \overset{x}{true}

instead of y . Such a setting requires to suppose that the encoder block before submission has contained the observer dynamics.…”

Section: Event‐based Dynamic Quantizer Design and Stability Analysismentioning

confidence: 99%

Stabilization of switched nonlinear systems with dynamic output quantization and disturbances

Lian

2020

Intl J Robust & Nonlinear

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Summary This paper studies the problem of quantized output feedback stabilization for a disturbed discrete‐time switched system. With the quantized output measurement, an extended state current estimator is constructed to estimate the state and disturbance. In the presence of switches and disturbances, the design of quantization scheme becomes a big challenge to avoid the quantizer saturation and guarantee the control precision. In this setup, the well‐applied time‐triggered method to design the update policy of dynamic quantization parameter is hard to implement. We solve the above problem by proposing a novel event‐triggered update policy of quantization parameter, by which the quantizer update is adaptive to the switching signal and the bound of disturbance difference. Consequently, the quantizer saturation is avoided and, combined with the designed dwell‐time switching law, the system state can converge to the origin. The proposed method is illustrated by a numerical example.

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“…It suffers from external disturbance and parameter varying. Most control strategies, from the basic ones [4,5] to advanced ones [6][7][8][9][10], and most of the fault estimation strategies [11][12][13][14] require the state feedback. However, due to the limitations of the airship sensors, the exact states of the airship often cannot be measured directly by the sensor.…”

Section: Introductionmentioning

confidence: 99%

A Fast Convergence Super‐Twisting Observer Design for an Autonomous Airship

Xiao

Zhou

et al. 2019

Asian Journal of Control

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Airships are often under the risk of external disturbances, for example, the wind. The accurate external disturbance of the airship are hard to acquire. Typically, the super-twisting observer can track the states for mechanical systems and could be used as an external disturbance tracker. However, the convergence rate of the traditional super-twisting observer is very slow and the observed states often oscillate heavily. We modified the traditional super-twisting observer by adding more variables to the sliding surface, and adding parameters to the newly added variables. Simulation results illustrates that the new proposed observer is able to reduce the convergence time and reduce overshoot greatly, improving the performance of the observer.

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Fault Estimation Sliding-Mode Observer With Digital Communication Constraints

Cited by 134 publications

References 17 publications

Fault estimation for a class of nonlinear semi‐Markovian jump systems with partly unknown transition rates and output quantization

Fault estimation for a class of nonlinear semi‐Markovian jump systems with partly unknown transition rates and output quantization

Stabilization of switched nonlinear systems with dynamic output quantization and disturbances

A Fast Convergence Super‐Twisting Observer Design for an Autonomous Airship

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