Zehui Mao

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

Are you Zehui Mao?

Claim your profile

Publications (25)27.84 Total impact

  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: This paper presents a modified multi-body dynamic model and a linear time-invariant model with actuator faults (loss of effectiveness faults, bias faults) and matched and unmatched uncertainties. Based on the fault model, a class of adaptive and robust tracking controllers are proposed which are adjusted online to tolerate the time-varying loss of effectiveness faults and bias faults, and compensate matched disturbances without the knowledge of bounds. For unmatched uncertainties, optimal control theory is added to the controller design processes. Simulations on a pantograph are shown to verify the efficiency of the proposed fault-tolerant design approach.
    Preview · Article · Dec 2015
  • Source
    Hui Yi · Zehui Mao · Bin Jiang · Cuimei Bo · Yufang Liu · Hui Luo
    [Show abstract] [Hide abstract]
    ABSTRACT: Faulty samples are much harder to acquire than normal samples, especially in complicated systems. This leads to incompleteness for training sample types and furthermore a decrease of diagnostic accuracy. In this paper, the relationship between sample-type incompleteness and the classifier-based diagnostic accuracy is discussed first. Then, a support vector data description-based approach, which has taken the effects of sample-type incompleteness into consideration, is proposed to refine the construction of fault regions and increase the diagnostic accuracy for the condition of incomplete sample types. The effectiveness of the proposed method was validated on both a Gaussian distributed dataset and a practical dataset. Satisfactory results have been obtained.
    Preview · Article · Jun 2015 · Mathematical Problems in Engineering
  • Jing Zhao · Bin Jiang · Zhen He · Zehui Mao
    [Show abstract] [Hide abstract]
    ABSTRACT: In this paper, a novel adaptive sliding mode backstepping fault-tolerant control methodology is developed for near space vehicle attitude control system with engine fault. The proposed approach combines adaptive backstepping with sliding mode control strategies that can make the systems stable and accurately track the desired signals in the presence of external disturbances, model parameter uncertainties and engine faults. Firstly, the attitude dynamic model is introduced and a nominal adaptive backstepping control law is designed, then the engine faulty model is established. Secondly, an adaptive observe is designed to estimate both the information of fault and disturbance, which is used to update the preceding fault-tolerant control laws. Finally, the simulation results are provided to show the effectiveness of the proposed fault tolerant control scheme.
    No preview · Conference Paper · Jul 2014
  • Jing Zhao · Zhen He · Bin Jiang · Zehui Mao
    [Show abstract] [Hide abstract]
    ABSTRACT: This work focuses on modelling and fault tolerant algorithm design of a damaged near space vehicle. A novel radial basis function (RBF) neural network backstepping fault-tolerant control methodology is developed for attitude control system with damage, which can make system stable and accurately track the desired signals in the presence of vertical tail loss. First, the changing aerodynamic parameters caused by vertical tail loss are used to model damaged attitude dynamics. Second, in view of the established damaged model, a nominal backstepping controller is designed. Then a RBF neural network technology is designed to update the related parameters, which can compensate effects caused by damage and make the system still stable and track the desired signals. Finally, simulation results are provided to show the effectiveness of the proposed RBF neural network backstepping fault-tolerant control scheme.
    No preview · Article · Jun 2014 · IET Control Theory and Applications
  • Yue Wang · Zehui Mao · Bin Jiang
    [Show abstract] [Hide abstract]
    ABSTRACT: This paper is concerned with the design of an observer-based fault detection module for nonlinear rail vehicle suspension systems with the method of restructuring states and faults which can affect the system performance. An alarm signal will be sent by the designed observer if the residual evaluation is larger than a prescribed threshold when there are detectable actuator and sensor faults. The track irregularity generated by the spatial power spectral density is regarded as the system disturbances. Simulation result shows the effectiveness of the proposed method for Rail Vehicle Suspension Systems' fault detection.
    No preview · Conference Paper · May 2014
  • Weiguang Ding · Zehui Mao · Bin Jiang · Wen Chen
    [Show abstract] [Hide abstract]
    ABSTRACT: This paper deals with the problem of fault detection for networked control systems with Markov transfer time delays, stochastic data drops, and sector-bounded nonlinearity. Two irrelevant Markov chains are employed to characterize the delays induced by the networks between the actuator–sensor and controller–actuator, respectively. Stochastic data drops distributed between actuators and sensors are modeled by random variables. The main tasks of this paper are the analysis and design of an \(H_\infty \) fault detection filter such that the filtering-error dynamics is stochastically stable with a prescribed \(H_\infty \) attenuation level for nonlinearity, transfer delays as well as data drops. Sufficient conditions for the existence of such a filter are presented in terms of linear matrix inequalities. Finally, two examples are included to show the efficiency of the proposed method.
    No preview · Article · Apr 2014 · Circuits Systems and Signal Processing
  • Zehui Mao · Bin Jiang · Peng Shi
    [Show abstract] [Hide abstract]
    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.
    No preview · Article · May 2013 · International Journal of Adaptive Control and Signal Processing
  • Source
    Dongsheng Du · Bin Jiang · Peng Shi · Zehui Mao
    [Show abstract] [Hide abstract]
    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.
    Full-text · Article · Nov 2012 · Asian Journal of Control
  • Source
    Zehui Mao · Bin Jiang · Peng Shi
    [Show abstract] [Hide abstract]
    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.
    Full-text · Article · May 2011 · Journal of the Franklin Institute
  • Zehui Mao · Bin Jiang · Peng Shi
    [Show abstract] [Hide abstract]
    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.
    No preview · Article · Nov 2010 · Automatica
  • Zehui Mao · Bin Jiang · Peng Shi
    [Show abstract] [Hide abstract]
    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.
    No preview · Article · Aug 2010 · Journal of the Franklin Institute
  • Bin Jiang · Zehui Mao · Peng Shi
    [Show abstract] [Hide abstract]
    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.
    No preview · Article · Mar 2010 · IEEE Transactions on Fuzzy Systems
  • Zehui Mao · Bin Jiang · Yufei Xu
    [Show abstract] [Hide abstract]
    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.
    No preview · Conference Paper · Jan 2010
  • Article: H
    Bin Jiang · Zehui Mao · Peng Shi

    No preview · Article · Jan 2010
  • Yang Wang · Bin Jiang · Zehui Mao
    [Show abstract] [Hide abstract]
    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.
    No preview · Conference Paper · Jul 2009
  • Zehui Mao · Bin Jiang · Steven X. Ding
    [Show abstract] [Hide abstract]
    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.
    No preview · Article · May 2009 · International Journal of Systems Science
  • Bin Jiang · Zehui Mao
    [Show abstract] [Hide abstract]
    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 the simplified time-delay system models, the Markovian jump model, hybrid model, T-S model; and the perspectives of future research for NCSs.
    No preview · Article · Apr 2009 · Nanjing Hangkong Hangtian Daxue Xuebao/Journal of Nanjing University of Aeronautics and Astronautics
  • Zehui Mao · Bin Jiang · Peng Shi
    [Show abstract] [Hide abstract]
    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.
    No preview · Article · Apr 2009 · Circuits and Systems II: Express Briefs, IEEE Transactions on
  • Source
    [Show abstract] [Hide abstract]
    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.
    Full-text · Conference Paper · Jul 2008
  • Bin Jiang · Peng Shi · Zehui Mao
    [Show abstract] [Hide abstract]
    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
    No preview · Article · Jul 2008 · Circuits Systems and Signal Processing