Zehui Mao

Nanjing University of Aeronautics & Astronautics, Nan-ching, Jiangsu Sheng, China

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Publications (21)21.81 Total impact

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    ABSTRACT: Abstractvar REST_ID=21;This paper deals with the problem of reliable control for discrete time systems with actuator failures. The actuator is assumed to fail occasionally and can recover over a time interval. During the time of suffering failures, the considered closed‐loop system is assumed unstable. Using an average dwell time method and under the condition that the activation time ratio between the system without actuator failures and the system with actuator failures is not less than a specified constant, an observer‐based feedback controller is developed in terms of linear matrix inequalities such that the resulting closed‐loop system is exponentially stable. An example is included to demonstrate the effectiveness of the proposed approach.
    Asian Journal of Control 01/2012; 14(6). · 1.41 Impact Factor
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    Zehui Mao, Bin Jiang, Peng Shi
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    ABSTRACT: In this paper, an observer-based fault-tolerant control (FTC) method is proposed for a class of networked control systems (NCSs) with transfer delays. Markov chain is employed to characterize the transfer delays. Then, such kind of networked control systems are modelled as Markovian jump systems. An observer-based FTC scheme using the delayed state information and the estimated fault value is presented to guarantee the stability of the faulty systems. An inverted pendulum example is used to illustrate the efficiency of the proposed method.
    Journal of the Franklin Institute 01/2011; 348(4):763-776. · 2.42 Impact Factor
  • Bin Jiang, Zehui Mao, Peng Shi
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    ABSTRACT: This paper is concerned with H <sub>∞</sub>-design for a class of networked control systems (NCSs) with multiple state-delays via the Takagi-Sugeno (T-S) fuzzy model. The transfer delays and packet loss that are induced by the limited bandwidth of communication networks are considered. The focus of this paper is on the analysis and design of a full-order H <sub>∞</sub> filter, such that the filtering-error dynamics are stochastically stable, and a prescribed H <sub>∞</sub> attenuation level is guaranteed. Sufficient conditions are established for the existence of the desired filter in terms of linear-matrix inequalities (LMIs). An example is given to illustrate the effectiveness and applicability of the proposed design method.
    IEEE Transactions on Fuzzy Systems 03/2010; · 5.48 Impact Factor
  • Zehui Mao, Bin Jiang, Peng Shi
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    ABSTRACT: In this paper, we present a fault-tolerant control (FTC) framework for a class of nonlinear networked control systems (NCSs). Firstly, the plant is transformed into two subsystems with one of them decoupled from the system fault. Then, the nonlinear observer is designed to provide the estimation of unmeasurable state and modelling uncertainty, which are used to construct fault estimation algorithm. Considering the sampling intervals occurred by net, a fault-tolerant control method is proposed for such nonlinear NCSs using the impulsive system techniques. The controller gain and the maximum sampling interval, which make the faulty system stable are given. An example is included to show the efficiency of the proposed method.
    Journal of the Franklin Institute. 01/2010;
  • Zehui Mao, Bin Jiang, Peng Shi
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    ABSTRACT: In this paper, a fault-tolerant control (FTC) scheme is developed for a class of nonlinear sampled-data systems. First, a Euler approximate discrete model is used to describe the plant under the sampling. Under this model, an observer-based fault estimation method is proposed. To guarantee the accuracy of both the state and fault estimation values, the conditions to make the approximate model consistent with the exact model are presented. Then, an active fault-tolerant controller, which has a constraint condition for the sampling time, is designed to make the faulty system stable. Finally, an inverted pendulum is used to show the efficiency of the proposed method.
    Automatica 01/2010; · 2.92 Impact Factor
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    Bin Jiang, Zehui Mao, Peng Shi
    IEEE T. Fuzzy Systems. 01/2010; 18:201-208.
  • Zehui Mao, Bin Jiang, Yufei Xu
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    ABSTRACT: This paper is concerned with H∞ filter design for a class of networked control systems (NCSs) with multiple state-delays via Takagi-Sugeno (T-S) fuzzy model. The transfer delays and packet loss which are induced by the limited bandwidth of communication networks, are considered. The focus of this paper is on the analysis and design of a full-or 748 der H∞ filter such that the filtering error dynamics is stochastically stable and a prescribed H∞ attenuation level is guaranteed. Sufficient conditions are established for the existence of the desired filter in terms of linear matrix inequalities (LMIs). An example is given to illustrate the effectiveness and applicability of the proposed design method.
    FUZZ-IEEE 2010, IEEE International Conference on Fuzzy Systems, Barcelona, Spain, 18-23 July, 2010, Proceedings; 01/2010
  • Zehui Mao, Bin Jiang, Peng Shi
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    ABSTRACT: In this paper, an observer-based fault detection (FD) method is presented for a class of nonlinear networked control systems (NCSs) with Markov transfer delays. Firstly, based on Euler approximate method, a nonlinear NCS model with uncertainty is proposed using the Takagi-Sugeno (T-S) fuzzy model. Some geometric conditions are given to transfer the NCS model into an output-feedback form. Then, the H∞ FD observer is designed such that the estimation error (residual) converges to zero, if there exist no fault and uncertainty in the system, or the residual is minimized in the sense of H∞ norm, when system contains fault and uncertainties. Furthermore, to simplify the model, the approximate model without uncertainty is considered. Then, sufficient conditions for the existence of FD observer gain and the sampling time of NCSs are given to achieve the semiglobal practical property. An inverted pendulum example is used to illustrate the efficiency of the developed techniques. Copyright © 2009 John Wiley & Sons, Ltd.
    International Journal of Adaptive Control and Signal Processing 12/2009; 24(7):610 - 622. · 1.22 Impact Factor
  • Yang Wang, Bin Jiang, Zehui Mao
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    ABSTRACT: In this paper, a fault tolerant control (FTC) method is presented for a class of the nonlinear networked control systems (NCSs) with communication constraints. Firstly, using Euler approximate method and Takagi-Sugeno (T-S) fuzzy model, a new nonlinear NCSs model is given. Considering the sensor faults and the actuator faults, a fault tolerant control method is proposed for nonlinear NCSs, which is based on robust control theory and information scheduling. The control law is given via some LMIs. Finally, an example is used to illustrate the efficiency of the proposed technique.
    Control and Decision Conference, 2009. CCDC '09. Chinese; 07/2009
  • Zehui Mao, Bin Jiang, Peng Shi
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    ABSTRACT: This brief considers the problem of fault detection (FD) for a class of nonlinear networked control systems (NCSs) in which the sensors and actuators of the plant exchange information with a remote controller via a shared communication medium. Under the model utilized here, the communication cannot transfer all the information that sensors or controllers send. The choice of sensors and actuators that are active is designed to achieve the reachability and observability of the NCS. A novel method is proposed for the FD of a nonlinear NCS by first identifying a pair of communication sequences that preserve reachability and observability and then designing an observer-based FD based on those sequences. An example is given to show the potential of the proposed techniques.
    Circuits and Systems II: Express Briefs, IEEE Transactions on 04/2009; · 1.33 Impact Factor
  • Bin Jiang, Zehui Mao
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    ABSTRACT: Networked control systems (NCSs) are feedback systems closed through data networks. NCSs have many advantages compared with traditional systems; however, the network-included delay and other characteristics of data networks can degrade the performance of feedback systems without considering the network. During recent years, the problems of fault diagnosis for NCSs are investigated. This paper summarizes some main ideas and results on the fault diagnosis of NCSs, including the fundamentals of fault detection and diagnosis approaches based on simplified time-delay system models, the Markovian jump model, hybrid model, T-S model; and the perspectives of future research for NCSs.
    Journal of Nanjing University of Aeronautics and Astronautics. 01/2009; 41(2).
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    ABSTRACT: In this article, a novel fault-tolerant control (FTC) framework is presented for a class of non-linear networked control systems (NCSs) with Markov transfer delays. First, the NCSs are modelled by non-linear discrete Takagi–Sugeno fuzzy model using Euler approximate method. Then, a sliding mode-based fault estimation technique is developed for such model. With the estimated state and fault information, the proposed FTC framework can maintain the input-to-state stability of the faulty NCSs. A flexible joint robot link example is included to show the efficiency of the proposed method.
    International Journal of Systems Science 01/2009; 40:449-460. · 1.31 Impact Factor
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    ABSTRACT: In this paper, an observer-based fault estimation (FE) method is presented for a class of nonlinear networked control systems (NCSs) with Markov transfer delays. First, the nonlinear NCSs are modelled by nonlinear discrete Takagi-Sugeno (T-S) fuzzy model with modelling uncertainty. Under some geometric conditions, the proposed nonlinear T-S model can be transformed into two subsystems with one of them having backstepping form. Then, the discrete nonlinear observer is designed to provide the estimation of unmeasurable state and the modelling uncertainty, which is used to construct a fault estimation algorithm. Finally, an example is included to show the efficiency of the proposed method.
    American Control Conference, 2008; 07/2008
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    ABSTRACT: In this study, we hoped to provide valuable clinical information on yersiniosis for clinicians. Two thousand six hundred stool samples were collected from in- and outpatients with diarrhea, which were tested with both culture method and real-time polymerase chain reaction (RT-PCR). In total, 188 positive samples were detected by RT-PCR (178) and culture method (160), while the incidence was about 7.23%. The detection rate of RT-PCR was significantly higher than culture method and a higher incidence in autumn-winter was also noticeably identified than in spring-summer. Infection sources mostly focused on unboiled foods (101) and pets (45), while clinical manifestation mainly presented as gastroenteritis (156), pseudoappendicitis (32), and extraintestinal complications (46). The morbidity of extraintestinal complications in adults was significantly higher than in children and it was the same for high-risk patients between adults over the age of 60 years (4.7%) and children under the age of 3 years (1.4%), whereas the constituent ratio of children versus adults with yersiniosis in different systems was not significant. Of 160 isolates tested for antimicrobial susceptibility, the majority were susceptible to third-generation cephalosporins, aminoglycosides, fluoroquinolones, and trimethoprim-sulfamethoxazole, whereas only a small portion was susceptible to the first-generation cephalosporins and penicillins. During autumn-winter months, clinicians should pay more attention to clinical manifestation, early diagnosis, and treatment with susceptible antibiotics of yersiniosis and its complications, targeting high-risk patients.
    European Journal of Clinical Microbiology 07/2008; 27(8):741-52. · 3.02 Impact Factor
  • Bin Jiang, Peng Shi, Zehui Mao
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    ABSTRACT: In this paper, a novel sliding mode observer-based fault estimation (FE) method is presented for a class of nonlinear networked control systems (NCSs) with Markov transfer delays. Firstly, the nonlinear NCS is described by a nonlinear discrete Takagi–Sugeno (T–S) fuzzy model using the Euler approximation method. Then, a sliding mode based nonlinear discrete observer is proposed such that the sliding motion of the error dynamical system is asymptotically stable on a designed surface. Then the FE can be achieved through this observer. Finally, an example is included to show the efficiency of the proposed method. KeywordsFault estimation-Nonlinear networked control systems-Sliding mode observer
    Circuits Systems and Signal Processing 01/2008; 30(1):1-16. · 0.98 Impact Factor
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    ABSTRACT: In this paper, diagnosis of actuator/component faults for networked control systems (NCSs) with transfer delays is investigated. First, the linear NCSs with transfer delays are modelled by T-S discrete-time systems with input delays. Next, under certain conditions, a stable adaptive observer is designed for the purpose of fault diagnosis. An extension to a class of nonlinear systems is then made. Finally, a motor example is given to illustrate the efficiency of the proposed method.
    01/2008;
  • Z. Mao, B. Jiang, P. Shi
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    ABSTRACT: This paper deals with the design of robust fault detection for networked control systems with large transfer delays, in which it is impossible to totally decouple the fault effects from unknown inputs (including model uncertainties and external plant disturbances). First, we employ the multirate sampling method together with the augmented state matrix method to model the long random delay networked control systems as Markovian jump systems. Then, a H<sub>infin</sub> fault detection filter is designed based on the model developed. Through the appropriate choice of the filter gain, the filter is convergent if there is no disturbance in the system, meanwhile the effect of disturbances on the residual will satisfy a prescribed H<sub>infin</sub> performance. The problem of achieving satisfactory sensitivity of the residual to fault is formulated and its solution is given. Finally, a numerical example is presented to illustrate the effectiveness of the proposed techniques.
    IET Control Theory and Applications 10/2007; · 1.72 Impact Factor
  • Zehui Mao, Bin Jiang
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    ABSTRACT: A fault accommodation method for a class of nonlinear systems which can be changed into output-feedback form is proposed using a neural-network-based adaptive observer. The system faults can be estimated through the residual generated by the proposed observer, then the obtained estimation is used to reconfigure the control law to compensate the fault. The stability of system is guaranteed by Lyapunov theory. Simulation results show the performance of the approach.
    Kongzhi yu Juece/Control and Decision 01/2007; 22(1).
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    ABSTRACT: In this paper, a fault detection method for NCSs with time delays is proposed. Under some equivalent transformations, the time delays of NCSs can be regarded as an unknown input. Using the unknown input observer (UIO) design method, a sufficient condition for the error dynamic system stability is given in terms of linear matrix equations. Based on the designed unknown input observer, an output residual is constructed to detect the system fault. Then a numeral example is illustrated to validate the effectiveness of the proposed method. Finally, some conclusions are given.
    Control and Automation, 2007. ICCA 2007. IEEE International Conference on; 01/2007
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    ABSTRACT: A fault accommodation method for a class of nonlinear flight control system which can be changed into output-feedback form is proposed using a neural-network-based adaptive observer. The system faults can be detected through the residual generated by the proposed observer, then the obtained estimation is used to reconfigure the control law to compensate the fault. The stability of system is guaranteed by Lyapunov theory. Simulation results of an aircraft example have verified the performance of the method
    Systems and Control in Aerospace and Astronautics, 2006. ISSCAA 2006. 1st International Symposium on; 02/2006

Publication Stats

173 Citations
21.81 Total Impact Points

Institutions

  • 2009–2012
    • Nanjing University of Aeronautics & Astronautics
      • College of Automation Engineering
      Nan-ching, Jiangsu Sheng, China
  • 2011
    • Tsinghua University
      • Department of Automation
      Beijing, Beijing Shi, China
  • 2008–2009
    • Victoria University Sydney
      Sydney, New South Wales, Australia
  • 2007
    • Nanjing University
      Nan-ching, Jiangsu Sheng, China