New reliable H ∞ filter design for networked control systems with external disturbances and randomly occurring sensor faults

Li, Aichuan; Yi, Shujuan; Wang, Xi

doi:10.1016/j.neucom.2015.12.031

Cited by 14 publications

(4 citation statements)

References 42 publications

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“…In [9], a reliable H ∞ control is introduced to discrete time systems with random intermittent fault to ensure the desired performance of the faulted system. A reliable H ∞ filter is designed for networked control systems with external disturbance and randomly sensor faults [10]. In [11], robust multiple fault-tolerant control is presented for the aero-dynamical twin rotor system to guarantee good performance.…”

Section: Introductionmentioning

confidence: 99%

Reliable current control for single‐phase pulse width modulation rectifiers based on H_∞ loop shaping controller

Ibrahim,

Ma,

Zhao

et al. 2023

IET Power Electronics

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In this study, H∞ loop shaping is designed for single‐phase pulse width modulation (PWM) rectifier under current sensor gain faults. Pre‐compensator is used to obtain the desired loop shape at all frequencies and robust stabilization through the normalized coprime factorization. The mathematical model for the rectifier is developed to obtain the nominal plant transfer function, and two algebraic Riccati equations are used to solve the designed controller and obtain the loop shaping controller by combining the designed controller with the weights. ν‐gap metric is adopted to measure the magnitude of the current sensor gain fault that can be stabilized by the controller. The proposed controller is compared with H∞‐mixed sensitivity (H∞‐MS) controller. The robustness capability and dynamic performance is investigated and, hardware‐in‐loop experimental results show excellent balance between robustness and performance in the presence of current sensor gain faults.

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Section: Introductionmentioning

confidence: 99%

Reliable current control for single‐phase pulse width modulation rectifiers based on H_∞ loop shaping controller

Ibrahim,

Ma,

Zhao

et al. 2023

IET Power Electronics

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“…In addition, the sensors in the communication network are prone to aging and zero drift, which will inevitably lead to sensor faults and affect system performance. Probabilistic sensor faults are more representative and should be considered in the filter design procedure (Li et al, 2016a; Tian and Yue, 2011). Also, for all we know, the L 1 filter design problem for uncertain NCSs with randomly occurring sensor faults and persistent and amplitude-bounded disturbance constraints has not been investigated, and the aim of this paper is to fill the gaps in the field.…”

Section: Introductionmentioning

confidence: 99%

Event-triggered L1 filtering for uncertain networked control systems with multiple sensor fault modes

2020

Transactions of the Institute of Measurement and Control

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Considering the influence of sensor fault modes on the system performance in communication network, under the discrete event-triggered communication scheme (DETCS), the problems of the robust [Formula: see text] filtering for a class of uncertain networked control systems (NCSs) with multiple sensor fault modes and persistent and amplitude-bounded disturbance constraints are investigated. A set of stochastic variables are adopted to describe the sensor faults, the filtering error system is established, which characterizes the effects of sensor faults and DETCS. By constructing an appropriate delay-dependent Lyapunov-Krasovskii functional, new results on stability and robust [Formula: see text] performance are proposed for the filtering error system according to Lyapunov theory and the integral inequality method, and the co-design method for gaining the desired [Formula: see text] filter parameters and event-triggering parameters is given in terms of linear matrix inequalities (LMIs). We notice that with the structrue of Lyapunov-Krasovskii functional which considers the piecewise-linear sawtooth structure characteristic of transmission delay, a less conservative result is obtained. Finally, three examples are provided to illustrate the feasibility of the proposed method.

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“…A robust H∞ filter is designed for a class of Markovian jump neural networks with random sensor failure in [23], but in the literature, the gain of sensor failure is only   0,1 , which does not match the actual situation. In [24], the sensor failure is described as a random variable obeying the Bernoulli distribution, but the probability distribution cannot be accurately obtained. In addition, most researches only focus on a fixed mode of sensor failures, which brings limitation to the application of filter.…”

Section: Introductionmentioning

confidence: 99%

Non-Fragile Robust H∞ Filtering of Takagi-Sugeno Fuzzy Networked Control Systems with Sensor Failures

Wang

Xie

Zhou

et al. 2019

Sensors

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The fault-tolerant robust non-fragile H∞ filtering problem for networked control systems with sensor failures is studied in this paper. The Takagi-Sugeno fuzzy model which can appropriate any nonlinear systems is employed. Based on the model, a filter which can maintain stability and H∞ performance level under the influence of gain perturbation of the filter and sensor failures is designed. Moreover, the gain matrix of sensor failures is converted into a dynamic interval to expand the range of allowed failures. And the sufficient condition for the existence of the desired filter is derived in terms of linear matrix inequalities (LMIs) solutions. Finally a simulation example is given to illustrate the effectiveness of the proposed method.

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New reliable H ∞ filter design for networked control systems with external disturbances and randomly occurring sensor faults

Cited by 14 publications

References 42 publications

Reliable current control for single‐phase pulse width modulation rectifiers based on H_∞ loop shaping controller

Reliable current control for single‐phase pulse width modulation rectifiers based on H_∞ loop shaping controller

Event-triggered L1 filtering for uncertain networked control systems with multiple sensor fault modes

Non-Fragile Robust H∞ Filtering of Takagi-Sugeno Fuzzy Networked Control Systems with Sensor Failures

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New reliable H ∞ filter design for networked control systems with external disturbances and randomly occurring sensor faults

Cited by 14 publications

References 42 publications

Reliable current control for single‐phase pulse width modulation rectifiers based on H∞ loop shaping controller

Reliable current control for single‐phase pulse width modulation rectifiers based on H∞ loop shaping controller

Event-triggered L1 filtering for uncertain networked control systems with multiple sensor fault modes

Non-Fragile Robust H∞ Filtering of Takagi-Sugeno Fuzzy Networked Control Systems with Sensor Failures

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Reliable current control for single‐phase pulse width modulation rectifiers based on H_∞ loop shaping controller

Reliable current control for single‐phase pulse width modulation rectifiers based on H_∞ loop shaping controller