• <tr id="yyy80"></tr>
  • <sup id="yyy80"></sup>
  • <tfoot id="yyy80"><noscript id="yyy80"></noscript></tfoot>
  • 99热精品在线国产_美女午夜性视频免费_国产精品国产高清国产av_av欧美777_自拍偷自拍亚洲精品老妇_亚洲熟女精品中文字幕_www日本黄色视频网_国产精品野战在线观看 ?

    Fault detection and optimization for networked control systems with uncertain time-varying delay

    2015-04-11 02:35:15QingWangZhaoleiWangChaoyangDongandErzhuoNiu

    Qing Wang,Zhaolei Wang,2,*,Chaoyang Dong,and Erzhuo Niu

    1.School of Automation Science and Electrical Engineering,Beihang University,Beijing 100191,China;

    2.Beijing Aerospace Automatic Control Institute,Beijing 100854,China;

    3.School of Aeronautic Science and Engineering,Beihang University,Beijing 100191,China;

    4.Flight Automatic Control Research Institute,Aviation Industry Corporation,Xi’an 710065,China

    Fault detection and optimization for networked control systems with uncertain time-varying delay

    Qing Wang1,Zhaolei Wang1,2,*,Chaoyang Dong3,and Erzhuo Niu4

    1.School of Automation Science and Electrical Engineering,Beihang University,Beijing 100191,China;

    2.Beijing Aerospace Automatic Control Institute,Beijing 100854,China;

    3.School of Aeronautic Science and Engineering,Beihang University,Beijing 100191,China;

    4.Flight Automatic Control Research Institute,Aviation Industry Corporation,Xi’an 710065,China

    The observer-based robust fault detectionlter design and optimization for networked control systems(NCSs)with uncertain time-varying delays are addressed.The NCSs with uncertain time-varying delays are modeled as parameter-uncertain systems by the matrix theory.Based on the model,an observer-based residual generator is constructed and the sufcient condition for the existence of the desired fault detectionlter is derived in terms of the linear matrix inequality.Furthermore,a time domain optimization approach is proposed to improve the performance of the fault detection system.To prevent the false alarms,a new threshold function is established,and the solution of the optimization problem is given by using the singular value decomposition(SVD) of the matrix.A numerical example is provided to illustrate the effectiveness of the proposed approach.

    fault detection,networked control systems,residual generator,time-varying delay,time domain optimization approach.

    1.Introduction

    Networked control systems(NCSs)are feedback control systems in which sensors,controllers,actuators and other system components are connected via a shared communication network[1,2].The new structure has many advantages over the conventional point-to-point system connection,suchas low cost,simpleinstallation andmaintenance, high reliability,and enhanced resource utilization,which makes the NCS a promising structure for control systems [3].However,some problems and shortcomings of NCSs, such as bandwidth constraints[4,5],network induced delay[6,7]and packet dropout[8,9],will inevitably increase the complexity of system design and degrade the system performance or even cause instability[10].As an important essential to improve the performance,safety and reliability of dynamic systems,fault detection(FD)for NCSs has recently attracted considerable research attention[11,12].

    The network induced delay is one of the activeelds for NCSs researches,and there are three main categories in the FDelds for NCSs with various network induced delays:procurable delay[13,14],known delay’s probability distributions[15,16]and unknown delay[17–20].So far,there have been already fruitful promising results on the FD for NCSs with procurable delay or known probability distributions delay,but only a limited number of results about FD for NCSs with unknowndelay can be found owing to the high difculties in the treatment.In fact,for most network protocols,time delays are unknown timevarying,and it would be more reasonable to assume that the time delays in NCSs are uncertain.

    To deal with the unknown delay,in[17],Taylor expansion was used to approximate the inuence of unknown delay,and then a parity space based FD method was introduced to generate the residual.In[18],based on eigendecomposition,a known structure matrix wasrst extracted from the additional unknown disturbance vector caused by the random and unknown delay,and a parity space approach was used to generate the residual,but the structure matrix was time varying which leads to the increase of design and computation complexity.To overcome this problem,in some work[19,20],the unknown delay’s inuence was transformed into uncertainties of the system, and then the robust FD method based on the reference model was adopted to detect faults.For example,in[19], the unknown delays’inuence was transformed into timevarying polytopic uncertainty based on Cayley-Hamilton theorem,and in[20],it was transformed into parameteruncertainty based on the matrix theory.

    In addition,much attention has also been paid to improvethe FD performanceto detectthe faults morequickly and accurately,and the basic idea is to make the generated residual sensitive to the small faults and robust against augmented disturbances,which is called the optimal residual generation problem.To improve the performance of FD systems,the multi-objective H?/H∞trade-offdesignapproachhas beenwidely utilized[21,22], where H?index stands for the residual’s sensitivity,while H∞index can be used to describe the robustness.Meanwhile,based on the parity space approach,a time domain optimization approach is proposed for the traditional FD systems[23,24],where a post-lter is used to enhance the performance of FD systems.While these works are very promising,to the best of the authors’knowledge, the observer-based robust FDlter(FDF)design and optimization problem for the NCSs with parameter uncertainties caused by uncertain time-varying delay has not been investigated yet,which constitutes the main motivation of this paper.

    This paper addresses the observer-based robust FDF design and optimization problem for NCSs with unknown time-varying delays.Firstly,based on the matrix theory[25],the unknown time-varying delays in the NCSs are modelled as parameter uncertainties of the system.Secondly,referring to the parameter-uncertain system approach,an observer-basedresidual generatoris constructed,and the robust FD problem is formulated as altering problem to make the error between the residual signal and fault as small as possible.Then,a sufcient condition for the existence of the desired FDF is established in terms of the linear matrix inequality(LMI).Furthermore, a time domain optimization approach is proposed to improve the FD system performance,where the optimal solution of the post-lter can be determined by the matrix singular value decomposition(SVD),and a new threshold is also constructed to prevent false alarms.Finally,a numerical example is provided to illustrate the effectiveness of the proposed approach.

    2.Modeling of the NCS

    For the NCS shown in Fig.1,the plant is modeled as the following continuous-time linear time-invariant system:

    where x∈Rn,u∈Rm,y∈Rl,f∈Rqdenote the state vector,the control input vector,the output vector and the latent fault vector,respectively,d∈Rpis the external disturbance belonging to l2[0,∞).The real matrices Ac,Bc,Bcf,Bcd,C,Ddare of appropriate dimensions.

    Fig.1 Structure of NCS

    Without loss of generality,the followingassumptions as in[6]are introduced for the studied NCS:

    Assumption 1The sensors are clock-driven and the sampling period of the NCS is T,the controller and actuators are event-driven.Data are transmitted in a signal packet during every sampling period,and there are no packet dropout and non-orderedsequence.

    Assumption 2The discrete control law is designed as u(k)=?Kx(k).The sensor-controller delay is denoted asand the controller-actuator delay is denotedcan be lumped together aswhich is introducedto describethe uncertaintime-varyingnetwork induceddelay at the time instant k andτmaxis denedas the upperbound of the time-varying delay τk.

    Under Assumptions 1 and 2,considering the effect of the delay τkand the sampling period T,system(1)can be transformed into the following discrete time model[19]

    From(2),it is easy to see that the discrete NCS model is a time-varying system with uncertain time-varying parameter τkand the parameter τkinuences the system in a multiplicative way,which is very difcult to deal with[26].To overcome this difculty,referring to the networkedcontrolsystemsmodelingapproachin[25],thefollowing Lemma 1 will berstly introducedto transformthe discrete NCS into the parameter-uncertain system.

    where B0,B1,D and E are known constant matrices of appropriate dimensions which will be given in the following part,and F(τk)is an unknown matrix with Lebesguemeasurable elements and satises FT(τk)F(τk)≤I.

    ProofReferring to the analysis in[25],based on the matrix theory,if the matrix Achas n nonzero distinct eigenvalues λr(r=1,2,...,n),then we have Ac= Λdiag{λ1,...,λn}Λ?1,where Λ=[Λ1,...,Λn],and Λris the eigenvector corresponding to λr.Thus we can rewrite B0(τk)and B1(τk)as follows:

    Similarly,it can be easily proved that

    where

    andαiis chosensuchthateλi(T?τk?αi)<1,i=1,...,n, τk<T.

    Otherwise,if the matrix Achas zero eigenvalues and multiple eigenvalues,without loss of generality,it can be assumed that matrix Achas one eigenvalue 0,eigenvalueλ?with multiplicity r and othersare nonzerodistinct eigenvalues,and the other situations can be easy to deal with in the similar method.Then there exists a nonsingular matrix Λ such that Ac= Λdiag{0,J1,J2}Λ?1,where J1=diag{λ2,...,λn?r}and J2∈ Rr×ris the Jordan block corresponding to λ?.Thus,we can also rewrite B0(τk)and B1(τk)as follows:

    Similarly,one has

    and α1> τk,αiis chosen such that eλi(T?τk?αi)< 1, i=2,...,n?r,τk<T,G2∈Rr×ris a diagonal and invertible matrix and is chosen such that

    By Lemma 1,the system(2)can be equivalently written as the following parameter-uncertainsystem:

    where B0,B1,D and E are dened in(4)–(7),and F(τk)satises FT(τk)F(τk)≤I.

    Applying the state feedback control law u(k) = ?Kx(k)and augmented state z(k) = [xT(k) xT(k?1)]Tto the system(8)results in the following closed-loop parameter-uncertain system model:

    3.Problem formulation

    For the purpose of FD for the NCS,based on the obtained NCS model in(9),an observer-based FDF is concretelyadopted to generate the residual signal

    Set the estimation error e(k)=z(k)??z(k),and then the FD system is governed by

    After the above manipulations,the original robust FDF problem for the system(1)can be further convertedtondlter gain matrix L such that the parameter-uncertain system(12)is asymptotically stable and the H∞performance index γ is made as small as possible in the feasibility of

    Meanwhile,for improving the performance of the fault detection system(10),a time domain optimization approach is adopted in this paper.Let ξ(k)=V(z)r(k)= (Vs+Vs?1z?1+···+V0z?s)r(k)denote the modied residual signal[27],where the matrix V(z)is called the post-lter[23,27]and the index s is the order of V(z).

    According to the system(14)and the denition of ξ(k), we can rewrite ξ(k)in the following compact form:

    where

    Remark 1It should be noted that the selection of the index s which is the order of the post-lter V(z)is arbitrary in principle.Considering the computational complexity of online implementation,we set it equal to 2n.

    For convenience of analysis,we rewrite(15)as

    where

    In order to detect the fault,the residual evaluation function and the threshold can be selected as

    where α denotes the detection window.

    Obviously,the goal of this paper can be generalized tond out thelter gain matrix L and the optimal post-lter matrix V to acquire a desired FD performance,and after that,the faults can be observed by comparing J(k)with the threshold Jthaccording to the following logic:

    4.Main results

    4.1Filter gain design

    Lemma 2[28] Consider the following discrete LTI system ?

    Given γ>0,if there exists the matrix P>0,LMI

    holds,thenthe system is asymptoticallystable andsatises (13).

    Lemma 3[29–30]For any matrices M,N and F(k) with FT(k)F(k)≤I,and any scalar ε>0,the following inequality holds

    As an application of Lemma 2 and Lemma 3,the following theorem provides sufcient conditions for the existence of an admissible H∞FDF with the form of(10).

    Theorem 1Consider the system(12)and let γ>0 be a given scalar.If there exist matrices P1>0,P2>0,G and scalar ε>0,such that the following LMI

    holds,then system(12)is asymptotically stable with an H∞performance γ.Moreover,thelter gain of an admissible H∞FDF with the form of(10)is given by L=Meanwhile,the following matrix are given:

    ProofFromLemma2 andtheparameter-uncertainsystem(12),we can obtain

    By the Schur complement,(23)is equivalent to

    Without losing generality,we can readily obtain the following inequality by replacingˉA,ˉB,ˉC,ˉD into(24)

    where

    where

    According to Lemma 3,(26)holds if and only if the following inequality is satised for any ε

    Remark 2The optimal H∞performance γ?and the corresponding FDF gain matrix can be obtained by setting δ=γ2and solving the following optimization problem:

    4.2Determination of threshold

    From(16)and(17),we can determine the threshold as

    It should be pointed out that the above threshold is the minimum threshold that prevents false alarms.It follows from(15)and(16)that

    From(14),we can obtain

    where

    So we have

    From(9),it is easy to show that

    where

    Then we can have

    As

    then we have

    Therefore,the threshold Jthcan be dened as

    4.3Post-flter gain design

    For improvingthe FD capability of the system(12),an optimal post-lter V in(15)is required to be obtained using the time domain optimization technic in order to detect the faults as small as possible.Firstly,we give the following denitions[23]which can be used as the performance index to describe the FD capability.

    Defnition 1The set of detectable faults which are denoted by Sfcan be expressed by

    Defnition 3Maximal minimum detectable faults,denoted by fmmin,are dened by

    Note that the smaller fmminbecomes,the smaller faults can be detected.Thus,our objective of optimizing can be formulated as the following performance index

    According to(40),we know the detectable faults can satisfy the following form:

    Then we have

    and furthermore

    Thus,we can obtain(47)from(40),(45)and(46)

    where

    Since

    where σ(·)denotes the minimum singular value,Thus,

    and are equal to the eigenvector of matrix(V Hf)TV Hfcorrespondingto the eigenvalue,then the equality in(49)holds true.According to the denition of faults fmmin,wenally have

    Thus,we can know from(42),(43)and(51)that the objective of optimizing system(12)is reduced tond matrix V that satises the following optimization problems:

    From(39),we know the optimization problems in(52) can be furthermore rewritten as follows:

    From Theorem 1 and(9),(33),(36),we know that λd, λz,σ(?D)and σ(?E)are constants which can be calculated off-line.Thus the original optimization problem(53) is equivalent to the following optimization problem:

    The solution of(54)is not unique,and there exist some theoremsto derivetheoptimizationsolution.Next,we give the following lemma that plays a key role in deriving the optimization solution of(54).

    Lemma 4The SVD of a matrix Ω ∈Rλ×δcan be expressed by

    where U ∈ Rλ×λ,Θ ∈ Rδ×δ,and UUT= Iλ×λ,ΘΘT=Iδ×δ.For λ>δ

    and for λ≤δ

    with σ1≥···≥σλdenoting the singular values of Ω.

    Based on Lemma 4,we have Theorem 2 to determine the optimal solution for(54).

    Theorem 2Given matrices Hd,v∈Rλ×δand Hf∈Rλ×βwhich are dened as(15)and(16),where λ= l(s+1),β=q(s+1)and δ=(p+2n)(s+1)+2n,then the optimal solution V∈Rλ×λfor(54)is given by

    Furthermore,

    ProofIt is easy to see that λ<δ,using Lemma 4 to do an SVD of Hd,vgives

    with UUT= Iλ×λ,ΘΘT= Iδ×δ,Σ = [diag{σ1,...,σλ} 0λ×(δ?λ)].

    Then any matrix V can be expressed as

    where S=diag{σ1,...,σλ},so from(58)and(59)it turns out that

    and substituting it into(54),we have

    Note that σ(ˉV S?1UTHf)≤ σ(ˉV)σ(S?1UTHf), we have

    and the equality holds true if and only if

    Hence,the optimal solution V for(54)is given by

    Remark 3It is worthwhile to point out that the optimal post-lter V actually depends on the observer-basedlter L,which means the gain of V will change with the variety of the H∞performance index γ.It can be easily found from(56)that the optimal V is dependent on the matrix Hd,v

    Δ=[HdHv]which is dened in(16).Considering the matrices Hdand Hvare constructed by the matrix AL= ?A?L?C,thelter L is pre-designed using the H∞performance index in(13).Thus,it can be seen that the optimal post-lter V is dependent on the H∞performance index.

    However,owing to the fact that thelter L is independentonthe post-lterV(z)andcanbeobtainedseparately, thepost-lterV(z)canbeimmediatelyobtainedfrom(56) once thelter L has been determined.Thus,thelter L and the post-lter V(z)can be truly designed separately in this meaning,although V is depended on L.

    Remark 4From(53),it can be seen that the optimal V is designed to detect the faults as small as possible,and this will no doubt reduce the detection delay Tdwhich is dened as the time cost on the detection.Therefore,the post-lter can make the FD system more sensitive to the smaller faults and reduce the detection delay,but cannot eliminate the detection delay completely owing to the fact that the goalJ in(53)cannotbe guaranteedto be 0 for all situations.

    4.4Solution procedure

    The following Algorithm 1 is given out to summarize the essential parts of this section and the approach proposed above for the FD system design.

    Algorithm 1

    Step 1Solve the optimal H∞problem in Theorem 1 and Remark 2 for L.

    Step 2Generateresidual signa

    Step 3Construct Hv,Hd,Hf,and Hd,v.

    Step 4Do an SVD on Hd,v,and calculate U,S using (58)and(59).

    Step 5Set the optimal post-lter V=S?1UT.

    Step 6Establish the threshold

    Step 7Let ξ(k)=V(z)r(k)denote the modied residual signal,then the residual evaluation function is

    From Algorithm 1,it can be easily known that these steps are implemented off line except Step 2 and Step 7.

    5.Numerical example

    A numerical example is given to show the effectiveness of the proposed method.Consider the following continuousplant model

    Supposethat the sampling periodof NCS is T=0.01 s, the network induced delay τkis less than one sampling period and is a random sequence uniformly distributed between 0 and T,then we can easily obtain parameteruncertain system(8)with the following parameters:

    Using the discrete control law u(k) = ?0.613 6 0.760 8?x(k), the optimal H∞performance index is γ? = 0.01 and the gain matrix for the observer-based FDF is L = ?0.443 2 ?0.200 5 0.400 7 ?0.190 8?Tby solving the optimization problem(28).In what follows,according to Theorem 2,we can obtain the optimal solution from optimization problem(54)as follows:

    Theinitial state is set to be x(0)=[0 0]T.The external disturbance d(t)is supposed to be a random sequence uniformly distributed over[?0.5,0.5],and the slow variation fault signal f(t)which is shown in Fig.2 is given as

    where fais the maximal value of f(t).

    Fig.2 Slow variation fault signal

    Setting the detection window α=10 and the upper bound of time delay τmax=T,simulation results with and without optimization are given in Fig.3 and Fig.4 for the faults with fa=1 and fa=0.5 respectively.

    Fig.3 Simulation result when fa=1,τmax=T

    Fig.4 Simulation result when fa=0.5,τmax=T

    Form Fig.3 it can be seen that the residual signal r(k) reects the fault f(t)when it occurs,and obviously,the FD system with optimization is more sensitive to the faults and needs fewer time steps to detect the fault,that is to say that the FD system with optimization can detect smaller faults quickly than the FD system without optimization.

    Furthermore,to show the effectiveness of our approach, we give another simulation and compare the proposed approach to existing results in[19],and the residual signals and corresponding thresholds are also constructed in the same conditions accordingto[19].The simulation result is given in Fig.5 for τmax=T and fa=0.5.

    By comparing Fig.4 and Fig.5,it can be seen that the performance of the approach in[19]is better than the FD system without optimization,but the optimization technic can further enhance the performance of the FD system to detect the faults more quickly and accurately.

    Fig.5 Simulation result with approach in[19]when fa=0.5, τmax=T

    Furthermore,in order to analyze the inuence of the time delay on the FD system,other simulations are also performed when τmax=0.1T.Meanwhile,the maximal value faof the fault is decreased step by step with a step Δf=0.025 to validate the FD speed and the small FD capability.The minimum detectable faand the related detection delay Tdcan be obtained by 100 times simulations separately for τmax=T and τmax=0.1T,and the results are given in Table 1.

    Table 1 fa,and Tdfor different situations

    It canbefoundfromTable 1that ourmethodhas a better performance,and the time-varying delay will degrade the performance of the FD system,where the robust FD strategy and the time domain optimization technic are necessary to restrain the inuence of the time delay and improve the FD system performance.

    6.Conclusions

    The problem of observer-based robust FDF design and optimization for NCSs with uncertain time-varying delays is addressed in this paper.The inuence caused by uncertain time-varying delays is transformed into parameteruncertainty with the matrix theory.Under the parameteruncertain system,the LMI-based sufcient condition of FDF is obtained and a time domain optimization approach with the new threshold functionis proposedto improvethe performance of the FD system.An illustrative numerical exampleis presentedtoshowthattheproposedmethodcan detect smaller faults and need fewer times.

    [1]L.A.Montestruque,P.J.Antsaklis.On the model-based control of networked systems.Automatica,2003,39(10):1837–1843.

    [2]Q.Ai,C.Liu,B.Jiang.Robust fault detection for a class of nonlinear network control system with communication delay. Journal of Systems Engineering and Electronics,2009,20(5): 1024–1030.

    [3]W.Zhang,M.S.Branicky,S.M.Philips.Stability of networked control systems.IEEE Trans.on Control Systems, 2001,21(1):84–99.

    [4]X.G.Zhang,A.Cela,S.I.Niculescu,et al.Some problems in the stability of networked-control systems with periodicscheduling.International Journal of Control,2010,83(5): 996–1008.

    [5]L.Shi,P.Cheng,J.M.Chen.Optimal periodic sensor scheduling with limited resources.IEEE Trans.on Automatic Control, 2011,56(9):2190–2195.

    [6]W.A.Zhang,L.Yu,S.Yin.A switched system approach to H∞control of networked control systems with time-varying delays.Journal of the Franklin Institute,2011,348:165–178.

    [7]Y.Zhang,H.Fang,Z.Luo.H∞-based fault detection for nonlinear networked systems with random packet dropout and probabilistic interval delay.Journal of Systems Engineering and Electronics,2011,22(5):825–831.

    [8]J.Xiong,J.Lam.Stabilization of linear systems over networks with bounded packet loss.Automatica,2007,43(1):80–87.

    [9]X.Fang,J.Wang.Stochastic observer-based guaranteed cost control for networked control systems with packet dropouts. IET Control Theory Applications,2008,2(11):980–989.

    [10]X.He,Z.D.Wang,D.H.Zhou.Robust fault detection for net-worked systems with communication delay and data missing. Automatica,2009,45(11):2634–2639.

    [11]X.He,Z.D.Wang,Y.D.Ji,et al.Network-based fault detection for discrete-time state-delay systems:a new measurement model.International Journal of Adaptive Control and Signal Processing,2008,22(5):510–528.

    [12]Z.Zhu,X.Jiao.Fault detection for nonlinear networked control systems based on fuzzy observer.Journal of Systems Engineering and Electronics,2012,23(1):129–136.

    [13]Y.Zheng,H.J.Fang,H.Wang,et al.Observer-based FDI design of networked control system with output transfer delay. Control Theory and Applications,2003,20(5):653–656.

    [14]Y.Zheng,X.L.Hu,H.J.Fang,et al.Research on observerbased fault diagnosis of networked control system.Systems Engineering and Electronics,2005,27(6):1069–1072.(in Chinese)

    [15]Z.H.Mao,B.Jiang,P.Shi.H∞fault detectionlter design for networked control systems modeled by discrete Markovian jump systems.IET Control Theory and Applications,2007, 1(5):1336–1343.

    [16]L.X.Zhang,E.K.Boukas,L.Baron,et al.Fault detection for discrete-time Markov jump linear systems with partially known transition probabilities.International Journal of Control,2010,83(8):1564–1572.

    [17]H.Ye,S.X.Ding.Fault detection of networked control systems with network-induced delay.Proc.of the 8th International Conference on Control,Automation Robotics and Vision,2004:294–297.

    [18]Y.Q.Wang,H.Ye,G.Z.Wang.Fault detection of NCS based on eigendecomposition,adaptive evaluation and adaptive threshold.International Journal of Control,2007,80(12): 1903–1911.

    [19]Y.Q.Wang,S.X.Ding,H.Ye,et al.A new fault detectionscheme for networked control systems subject touncertain time-varying delay.IEEE Trans.on Signal Processing,2008, 56(10):5258–5268.

    [20]Y.Q.Wang,H.Ye,S.X.Ding.Fault detection of networked control systems based on optimal robust fault detectionlter. Acta Automatic Sinica,2008,34(12):1534–1539.

    [21]J.L.Wang,G.H.Yang,J.Liu.An LMI approach to H-index and mixedH?/H∞fault detection observer design.Automatica,2007,43(9):1656–1665.

    [22]M.Chadli,A.Abdob,S.X.Ding.H?/H∞fault detectionlter design for discrete-time Takagi-Sugeno fuzzy system.Automatica,2013,49(7):1996–2005.

    [23]X.Ding,L.Guo.An approach to time domain optimization of observer-based fault detection systems.International Journal of Control,1998,69(3):419–442.

    [24]M.Y.Zhong,S.X.Ding,E.L.Ding.Optimal fault detection for linear discrete time-varying systems.Automatica,2010, 46(8):1395–1400.

    [25]W.H.Fan,H.Cai,Q.W.Chen,et al.Stability of networked control systems with time delay.Control Theory and Application,2004,21(6):880–884.

    [26]Y.Q.Wang,H.Ye,G.Z.Wang.Recent development of fault detection techniques for networked control systems.Control Theory and Application,2009,26(4):400–409.

    [27]M.Abid,W.Chen,S.X.Ding,et al.Optimal residual evaluation for nonlinear systems using post-lter and threshold. International Journal of Control,2011,84(3):526–539.

    [28]M.Y.Zhong,S.X.Ding,J.Lam,et al.An LMI approach to design robust fault detectionlter for uncertain LTI systems. Automatica,2003,39(3):543–550.

    [29]A.D.Liu,Y.Liu,W.A.Zhang.H∞control for network-based systems with time-varying delay and packet disordering.IET Control Theory and Applications,2007,1(5):1344–1354.

    [30]C.X.Yang,Z.H.Guan,J.Huang.Stochastic fault tolerant control of networked control systems.Journal of the Franklin Institute,2009,346(10):1006–1020.

    Biographies

    Qing Wang was born in 1968.She received her M.E.and Ph.D.degrees inight vehicle control guidance and simulation from Northwestern Polytechnical University,in 1993 and 1996,respectively.She worked as a post-doctoral researcher at the Department of Automatic Control,Beihang University,from 1996 to 1998.She worked in China Academy of Space Technology in 1999. During this period she visited Moscow College of Aeronautics as a visitor.She is currently a professor of guidance,navigation and control,in the School of Automation Science and Electrical Engineering,Beihang University.Her research interests are guidance and control of aerospace vehicles and intelligentight control system.

    E-mail:wangqing@buaa.edu.cn

    Zhaolei Wang was born in 1986.He received his B.S.degree in automation from Beijing Institute of Technology in 2009.He is now a Ph.D.candidate of navigation,guidance and control,in the School of Automation Science and Electrical Engineering, Beihang University.He is now an engineer of Beijing Aerospace Automatic Control Institute,Beijing. His research interests include fault diagnosis,networked control system,switched system theory and its application inight vehicles.

    E-mail:beiliwzl123@163.com

    Chaoyang Dong was born in 1966.He received his M.E.degree at Northwestern Polytechnical University,in 1992,and Ph.D.degree in guidance,navigation and control from Beihang University.From 2002 to 2008,he was an associate professor in the Department of Automatic Control,Beihang University.He is currently a professor ofight mechanics in the School of Aeronautic Science and Engineering,Beihang University.His research interests are kinetic analysis ofexible vehicles and control of the complex dynamics system.

    E-mail:dongchaoyang@buaa.edu.cn

    Erzhuo Niu was born in 1983.He received his Ph.D.degree in navigation,guidance and control from Beihang University.He is currently an engineer of the Flight Automatic Control Research Institute of Aviation Industry Corporation,Xi’an.His research interests are control law design,fault detection and networked control systems.

    E-mail:nz830111@163.com

    10.1109/JSEE.2015.00062

    Manuscript received March 04,2014.

    *Corresponding author.

    This work was supported by the National Natural Science Foundation of China(61074027;61273083).

    欧美zozozo另类| 欧美丝袜亚洲另类 | ponron亚洲| 国产一区二区三区视频了| 国产伦精品一区二区三区视频9| 久9热在线精品视频| av在线蜜桃| 国产精华一区二区三区| 夜夜夜夜夜久久久久| 久久这里只有精品中国| 欧美一级a爱片免费观看看| 久久久久久大精品| h日本视频在线播放| 久久久久久国产a免费观看| 国产伦一二天堂av在线观看| 亚洲五月婷婷丁香| 久久亚洲精品不卡| 看黄色毛片网站| 欧美激情在线99| 国产男靠女视频免费网站| 又爽又黄a免费视频| 免费观看人在逋| 日韩精品青青久久久久久| 亚洲不卡免费看| 性色av乱码一区二区三区2| 亚洲人成网站在线播放欧美日韩| 美女高潮的动态| 精品久久久久久久久av| 欧美日韩瑟瑟在线播放| 能在线免费观看的黄片| www.999成人在线观看| 在线十欧美十亚洲十日本专区| 18禁黄网站禁片午夜丰满| 免费av毛片视频| 搡老熟女国产l中国老女人| 久久午夜福利片| 一区福利在线观看| 内射极品少妇av片p| 国产人妻一区二区三区在| 3wmmmm亚洲av在线观看| 小蜜桃在线观看免费完整版高清| 午夜福利在线观看吧| 少妇人妻一区二区三区视频| 国产精品野战在线观看| 男插女下体视频免费在线播放| 日本 av在线| 18+在线观看网站| 亚洲五月天丁香| 最好的美女福利视频网| 国产爱豆传媒在线观看| 免费黄网站久久成人精品 | 国产精品久久久久久久久免 | 夜夜爽天天搞| 少妇被粗大猛烈的视频| 亚洲欧美日韩东京热| 国产精品久久久久久久久免 | 欧美乱妇无乱码| 亚洲无线在线观看| eeuss影院久久| 亚洲一区二区三区色噜噜| 中文字幕av在线有码专区| 精品久久久久久成人av| 毛片女人毛片| 好男人在线观看高清免费视频| 亚洲人与动物交配视频| x7x7x7水蜜桃| 欧美成人免费av一区二区三区| 国产久久久一区二区三区| 国产av一区在线观看免费| 国产在线男女| 亚洲国产日韩欧美精品在线观看| 亚洲国产日韩欧美精品在线观看| 亚洲经典国产精华液单 | 亚洲七黄色美女视频| 99riav亚洲国产免费| 亚洲国产色片| 夜夜夜夜夜久久久久| 欧美另类亚洲清纯唯美| 高潮久久久久久久久久久不卡| 国产精品野战在线观看| 色5月婷婷丁香| 国产精品一区二区三区四区免费观看 | 色5月婷婷丁香| 三级国产精品欧美在线观看| 亚洲成人中文字幕在线播放| 国产精品,欧美在线| 天堂动漫精品| 久久久精品欧美日韩精品| 国产精品三级大全| 久久中文看片网| 久久久久久大精品| 欧美zozozo另类| 麻豆成人午夜福利视频| 夜夜夜夜夜久久久久| 亚洲不卡免费看| 国产在线精品亚洲第一网站| 天堂av国产一区二区熟女人妻| 久久久久免费精品人妻一区二区| 亚洲国产精品合色在线| 我的老师免费观看完整版| 亚洲精品在线观看二区| 欧美bdsm另类| 精品国产三级普通话版| 88av欧美| 黄色视频,在线免费观看| 亚洲精品影视一区二区三区av| 久久九九热精品免费| 免费在线观看成人毛片| 日本在线视频免费播放| a级一级毛片免费在线观看| 老熟妇乱子伦视频在线观看| 午夜福利在线观看免费完整高清在 | 午夜免费男女啪啪视频观看 | 国产精品久久久久久精品电影| 亚洲av免费在线观看| or卡值多少钱| 性插视频无遮挡在线免费观看| 久9热在线精品视频| 国产v大片淫在线免费观看| 亚洲第一电影网av| 午夜视频国产福利| 亚洲av五月六月丁香网| 色哟哟哟哟哟哟| 婷婷色综合大香蕉| 亚洲18禁久久av| 露出奶头的视频| 久久6这里有精品| 久久久色成人| 色综合欧美亚洲国产小说| av在线老鸭窝| 久久久久久久久中文| 少妇熟女aⅴ在线视频| 999久久久精品免费观看国产| 日本与韩国留学比较| 久久精品夜夜夜夜夜久久蜜豆| 久久久久久久久久黄片| 成人特级av手机在线观看| 国产精品久久久久久人妻精品电影| 久久久久国内视频| 97超级碰碰碰精品色视频在线观看| 成年女人毛片免费观看观看9| 久久国产精品人妻蜜桃| 久久久久久久久中文| 变态另类成人亚洲欧美熟女| 日韩中文字幕欧美一区二区| 亚洲 国产 在线| 国产午夜精品久久久久久一区二区三区 | 日本一本二区三区精品| 国产色爽女视频免费观看| 婷婷亚洲欧美| 3wmmmm亚洲av在线观看| 亚洲av一区综合| 国产成人aa在线观看| 高清在线国产一区| 淫妇啪啪啪对白视频| 十八禁国产超污无遮挡网站| 中文资源天堂在线| 一级黄色大片毛片| 最好的美女福利视频网| 波多野结衣高清作品| 国产精品久久久久久人妻精品电影| 亚洲国产色片| 欧美色欧美亚洲另类二区| 国产在线精品亚洲第一网站| 免费人成在线观看视频色| 少妇的逼水好多| 国产精品亚洲一级av第二区| 午夜福利18| 久久久久久久久久黄片| 老鸭窝网址在线观看| 成年免费大片在线观看| 国产精品永久免费网站| 国产亚洲精品av在线| 国产一级毛片七仙女欲春2| 男女下面进入的视频免费午夜| 国产精品爽爽va在线观看网站| 男人的好看免费观看在线视频| 97超级碰碰碰精品色视频在线观看| 99热这里只有是精品50| 搡老熟女国产l中国老女人| 1000部很黄的大片| 久久精品国产亚洲av香蕉五月| 深爱激情五月婷婷| 99精品久久久久人妻精品| 日本三级黄在线观看| 欧美激情国产日韩精品一区| 亚洲中文字幕一区二区三区有码在线看| av欧美777| 我要搜黄色片| 俺也久久电影网| 99热这里只有是精品在线观看 | 亚洲真实伦在线观看| 最新中文字幕久久久久| 深爱激情五月婷婷| 午夜激情福利司机影院| 日本一本二区三区精品| 黄色日韩在线| 亚洲国产精品sss在线观看| 国产黄a三级三级三级人| 欧美黑人巨大hd| 又爽又黄无遮挡网站| 夜夜躁狠狠躁天天躁| 在线十欧美十亚洲十日本专区| 好男人电影高清在线观看| 国产精品免费一区二区三区在线| 久久6这里有精品| 欧美丝袜亚洲另类 | 日本一本二区三区精品| 婷婷精品国产亚洲av| 2021天堂中文幕一二区在线观| 免费高清视频大片| 亚洲精品久久国产高清桃花| 欧美色视频一区免费| 亚洲第一电影网av| 日韩精品中文字幕看吧| 亚洲精品在线观看二区| 亚洲国产欧美人成| 久久午夜亚洲精品久久| 亚洲人成网站在线播| 欧美精品啪啪一区二区三区| 欧美+亚洲+日韩+国产| 99在线人妻在线中文字幕| 高清毛片免费观看视频网站| 亚洲男人的天堂狠狠| 熟妇人妻久久中文字幕3abv| 好男人电影高清在线观看| 哪里可以看免费的av片| 女人十人毛片免费观看3o分钟| 美女高潮的动态| 可以在线观看毛片的网站| 国产精品久久久久久久电影| 男女下面进入的视频免费午夜| 99国产综合亚洲精品| 极品教师在线免费播放| 最好的美女福利视频网| 欧美成人一区二区免费高清观看| 一个人免费在线观看电影| 我的女老师完整版在线观看| 丰满人妻一区二区三区视频av| 欧美在线一区亚洲| 蜜桃亚洲精品一区二区三区| 精品99又大又爽又粗少妇毛片 | 国产在线精品亚洲第一网站| av天堂中文字幕网| 精品久久久久久,| 久久久久久久午夜电影| 亚洲人成电影免费在线| 国产在线精品亚洲第一网站| 久久香蕉精品热| 国产私拍福利视频在线观看| 欧美成人a在线观看| 成人亚洲精品av一区二区| 久久精品国产亚洲av涩爱 | 国产高清激情床上av| 欧美zozozo另类| 亚洲欧美精品综合久久99| 内射极品少妇av片p| 日韩成人在线观看一区二区三区| 深爱激情五月婷婷| 国产日本99.免费观看| 99久久99久久久精品蜜桃| 每晚都被弄得嗷嗷叫到高潮| 亚洲18禁久久av| 麻豆成人午夜福利视频| 国产色婷婷99| 欧美三级亚洲精品| 丰满的人妻完整版| 午夜老司机福利剧场| 精品久久久久久久久久久久久| 99久久九九国产精品国产免费| 美女大奶头视频| 日本a在线网址| 欧美高清性xxxxhd video| 久久久久国产精品人妻aⅴ院| 最好的美女福利视频网| 我要搜黄色片| 国产成人啪精品午夜网站| 黄色配什么色好看| 美女免费视频网站| 色播亚洲综合网| 老司机福利观看| 99久久九九国产精品国产免费| 久久精品夜夜夜夜夜久久蜜豆| 夜夜爽天天搞| www.熟女人妻精品国产| h日本视频在线播放| 男女做爰动态图高潮gif福利片| 99久久无色码亚洲精品果冻| 亚洲avbb在线观看| .国产精品久久| 亚洲,欧美精品.| 给我免费播放毛片高清在线观看| 国产色爽女视频免费观看| 身体一侧抽搐| 长腿黑丝高跟| 亚洲国产色片| 欧美潮喷喷水| 人人妻,人人澡人人爽秒播| 一级毛片久久久久久久久女| 免费在线观看亚洲国产| 日日摸夜夜添夜夜添av毛片 | 日韩欧美 国产精品| 国产一区二区亚洲精品在线观看| 精品熟女少妇八av免费久了| 波多野结衣巨乳人妻| 97碰自拍视频| 亚洲性夜色夜夜综合| 国产精品亚洲av一区麻豆| 内射极品少妇av片p| 欧美在线黄色| 欧美成人一区二区免费高清观看| 中文字幕人妻熟人妻熟丝袜美| 99久久久亚洲精品蜜臀av| 亚洲精品粉嫩美女一区| 欧美乱妇无乱码| 国产av麻豆久久久久久久| 99国产极品粉嫩在线观看| 日韩欧美免费精品| 亚洲精品乱码久久久v下载方式| 亚洲专区国产一区二区| 国产成年人精品一区二区| 99精品久久久久人妻精品| 可以在线观看毛片的网站| 人人妻,人人澡人人爽秒播| 日韩欧美免费精品| 欧美成人免费av一区二区三区| 久久国产精品影院| 色吧在线观看| 性色avwww在线观看| 99热精品在线国产| 一进一出抽搐gif免费好疼| 露出奶头的视频| 欧美极品一区二区三区四区| 一级黄色大片毛片| 亚洲熟妇中文字幕五十中出| 国产美女午夜福利| 日韩欧美在线乱码| 国产野战对白在线观看| 精品免费久久久久久久清纯| 尤物成人国产欧美一区二区三区| av在线蜜桃| 嫩草影院精品99| 精品午夜福利视频在线观看一区| 小说图片视频综合网站| 波多野结衣高清作品| 亚洲人成伊人成综合网2020| 成人高潮视频无遮挡免费网站| 亚洲片人在线观看| 青草久久国产| 午夜日韩欧美国产| 亚洲精品日韩av片在线观看| 国产精品久久视频播放| 久久久久精品国产欧美久久久| 国产亚洲精品久久久久久毛片| 国产欧美日韩一区二区三| 在现免费观看毛片| 成人欧美大片| 亚洲成人精品中文字幕电影| 岛国在线免费视频观看| 久久久久精品国产欧美久久久| 国产免费一级a男人的天堂| 亚洲最大成人av| 一级av片app| 波野结衣二区三区在线| 十八禁网站免费在线| 精品欧美国产一区二区三| 好看av亚洲va欧美ⅴa在| www日本黄色视频网| 欧美乱妇无乱码| 中文资源天堂在线| 99久久精品热视频| 日韩 亚洲 欧美在线| 国产探花极品一区二区| 丰满的人妻完整版| 无人区码免费观看不卡| 小蜜桃在线观看免费完整版高清| 美女免费视频网站| 毛片女人毛片| 国产精品人妻久久久久久| 在线观看一区二区三区| 国产淫片久久久久久久久 | 亚洲人成网站在线播放欧美日韩| 有码 亚洲区| 精品久久久久久成人av| 99久久久亚洲精品蜜臀av| а√天堂www在线а√下载| 国产综合懂色| 欧美又色又爽又黄视频| 最近最新免费中文字幕在线| 脱女人内裤的视频| 3wmmmm亚洲av在线观看| 亚洲国产色片| 黄色配什么色好看| 亚洲18禁久久av| 欧美成人免费av一区二区三区| 亚洲一区二区三区色噜噜| 亚洲av第一区精品v没综合| 老女人水多毛片| 村上凉子中文字幕在线| 久久久久九九精品影院| 欧美日本视频| 精品乱码久久久久久99久播| 三级毛片av免费| 午夜两性在线视频| 我要看日韩黄色一级片| 老师上课跳d突然被开到最大视频 久久午夜综合久久蜜桃 | 黄色女人牲交| 欧美色欧美亚洲另类二区| 在线a可以看的网站| 90打野战视频偷拍视频| 级片在线观看| 久久国产乱子免费精品| 男人的好看免费观看在线视频| 好看av亚洲va欧美ⅴa在| 亚州av有码| 99久国产av精品| 国产爱豆传媒在线观看| 色精品久久人妻99蜜桃| 欧美+日韩+精品| 久久精品国产亚洲av香蕉五月| 一级作爱视频免费观看| 99国产精品一区二区三区| АⅤ资源中文在线天堂| 内地一区二区视频在线| ponron亚洲| 一边摸一边抽搐一进一小说| 在线国产一区二区在线| 99久久精品热视频| 三级毛片av免费| 一级黄色大片毛片| 偷拍熟女少妇极品色| 中文字幕人妻熟人妻熟丝袜美| 国产野战对白在线观看| 亚洲av免费高清在线观看| 老司机深夜福利视频在线观看| 国产av不卡久久| 亚洲久久久久久中文字幕| 久久精品人妻少妇| 老鸭窝网址在线观看| 免费一级毛片在线播放高清视频| 亚洲片人在线观看| 亚洲欧美激情综合另类| 国产精品久久久久久久电影| 69人妻影院| 真人做人爱边吃奶动态| 宅男免费午夜| 久久久国产成人精品二区| 亚洲成人久久性| 最后的刺客免费高清国语| 中文资源天堂在线| 亚洲av成人av| 亚洲美女搞黄在线观看 | 亚洲成人久久爱视频| 免费无遮挡裸体视频| 麻豆国产97在线/欧美| 欧美成人免费av一区二区三区| 亚洲成人久久性| 国产精品久久视频播放| 亚洲国产日韩欧美精品在线观看| 我的女老师完整版在线观看| 亚洲一区高清亚洲精品| 一进一出抽搐gif免费好疼| 久久午夜福利片| 国产亚洲精品综合一区在线观看| 免费av毛片视频| 久久精品国产99精品国产亚洲性色| 国产极品精品免费视频能看的| 少妇裸体淫交视频免费看高清| 麻豆一二三区av精品| 日韩欧美一区二区三区在线观看| 色视频www国产| 亚洲中文字幕日韩| av视频在线观看入口| 欧美日本视频| 少妇的逼好多水| 别揉我奶头 嗯啊视频| eeuss影院久久| 久久亚洲真实| 欧美高清成人免费视频www| 国产精品,欧美在线| 国产精品久久久久久久久免 | 国产欧美日韩精品亚洲av| 亚洲欧美精品综合久久99| 欧美+亚洲+日韩+国产| 男人和女人高潮做爰伦理| 欧美不卡视频在线免费观看| 午夜亚洲福利在线播放| 国产在线男女| 精品午夜福利在线看| 老师上课跳d突然被开到最大视频 久久午夜综合久久蜜桃 | 亚洲内射少妇av| 亚洲人成网站高清观看| 他把我摸到了高潮在线观看| 蜜桃久久精品国产亚洲av| 精华霜和精华液先用哪个| 亚洲人成伊人成综合网2020| 中文字幕av成人在线电影| 男人和女人高潮做爰伦理| av天堂中文字幕网| 岛国在线免费视频观看| 亚洲成av人片在线播放无| АⅤ资源中文在线天堂| 国产在线精品亚洲第一网站| 国产欧美日韩一区二区三| 日本三级黄在线观看| 久久精品夜夜夜夜夜久久蜜豆| 99久国产av精品| 深夜a级毛片| 又爽又黄无遮挡网站| 久久久久亚洲av毛片大全| 国产人妻一区二区三区在| 国产精品一区二区性色av| 久久九九热精品免费| 久久香蕉精品热| 欧美成人一区二区免费高清观看| 伦理电影大哥的女人| 嫩草影院新地址| 亚洲va日本ⅴa欧美va伊人久久| 制服丝袜大香蕉在线| 91在线观看av| 丰满乱子伦码专区| 日日夜夜操网爽| 精品久久久久久久久av| 最近最新中文字幕大全电影3| 他把我摸到了高潮在线观看| 校园春色视频在线观看| 精华霜和精华液先用哪个| 如何舔出高潮| eeuss影院久久| 亚洲久久久久久中文字幕| 久久亚洲精品不卡| 亚洲精品乱码久久久v下载方式| 久久精品夜夜夜夜夜久久蜜豆| 成人亚洲精品av一区二区| 精华霜和精华液先用哪个| 91麻豆av在线| 亚洲成人精品中文字幕电影| 麻豆av噜噜一区二区三区| 嫩草影视91久久| 亚洲人与动物交配视频| 久久热精品热| 别揉我奶头~嗯~啊~动态视频| 老熟妇仑乱视频hdxx| 欧美xxxx性猛交bbbb| 亚洲av成人不卡在线观看播放网| 免费在线观看成人毛片| 日本五十路高清| xxxwww97欧美| 此物有八面人人有两片| 热99re8久久精品国产| 神马国产精品三级电影在线观看| 能在线免费观看的黄片| 神马国产精品三级电影在线观看| 非洲黑人性xxxx精品又粗又长| 免费看a级黄色片| 老司机午夜福利在线观看视频| 亚洲国产精品999在线| 精品久久久久久成人av| 草草在线视频免费看| 成人亚洲精品av一区二区| 亚洲美女视频黄频| 欧美高清性xxxxhd video| 国产精品免费一区二区三区在线| 久久久久久久亚洲中文字幕 | 99热这里只有是精品50| 亚洲自偷自拍三级| 成人欧美大片| 久久久精品欧美日韩精品| 欧美绝顶高潮抽搐喷水| 老鸭窝网址在线观看| 久久精品91蜜桃| 18禁黄网站禁片午夜丰满| 神马国产精品三级电影在线观看| 欧美黄色淫秽网站| avwww免费| 亚洲av电影不卡..在线观看| 3wmmmm亚洲av在线观看| 国产精品永久免费网站| 欧美黄色片欧美黄色片| 亚洲av成人精品一区久久| 成人特级av手机在线观看| 欧美激情国产日韩精品一区| 一区二区三区四区激情视频 | 搡老熟女国产l中国老女人| 日韩欧美免费精品| 婷婷亚洲欧美| 亚洲精华国产精华精| 动漫黄色视频在线观看| 能在线免费观看的黄片| 日韩精品青青久久久久久| 成人鲁丝片一二三区免费| 国产伦精品一区二区三区视频9| 国产高清三级在线| 国产av不卡久久| 午夜免费男女啪啪视频观看 | 亚洲无线观看免费| 午夜亚洲福利在线播放| 国内精品一区二区在线观看| 性插视频无遮挡在线免费观看| 夜夜看夜夜爽夜夜摸| 久久午夜亚洲精品久久| 国产精品嫩草影院av在线观看| av在线蜜桃| 免费黄色在线免费观看| 亚洲自拍偷在线| 青春草国产在线视频| 美女主播在线视频| 国产综合懂色| 国产精品国产三级国产av玫瑰| 久久精品熟女亚洲av麻豆精品| 丰满乱子伦码专区| 一个人看视频在线观看www免费| 亚洲精品影视一区二区三区av| 亚洲国产高清在线一区二区三| 黄色视频在线播放观看不卡|