时滞系统的有限频域H_∞滤波分析与综合
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摘要
滤波或者状态估计是利用可以测量的外部信号对不可测量的信号进行估计,是控制理论、信号处理等领域的基本问题之一。由于需要精确已知的噪声统计数据和系统状态空间模型,经典的Kalman滤波在工程实际应用中往往存在鲁棒性差的问题。因此,过去几十年,广大学者一直致力于研究非高斯噪声扰动输入下的鲁棒滤波问题,H∞滤波便是其中广受关注的问题之一。值得注意的是,经过二十多年发展的H∞滤波理论绝大多数建立在标准H∞性能指标的基础上,要求滤波误差系统对全频域内的噪声都具有同样的抑制水平。由于未能充分利用噪声的频率信息,导致标准H∞滤波器很难达到理想的性能要求。另外,时滞现象不可避免地存在于实际的动力学系统中,特别是随着网络技术的发展,时滞常常成为影响系统性能的关键因素。随着广义KYP引理的提出,时滞系统的有限频域H∞滤波分析和综合问题成为近年来滤波理论研究领域的研究热点。本论文综合应用Lyapunov稳定性理论和广义KYP引理,深入地研究连续和离散时滞系统的有限频域H∞性能分析、有限频域H∞滤波器设计等问题,在线性矩阵不等式框架下提出有限频域H∞滤波器的分析和综合方法。
     第一、总结时滞系统H∞滤波理论研究领域的主要成果,指出目前时滞系统的有限频域H∞滤波研究成果不足之处在于:1)绝大多数的研究成果都是时滞无关的,能够处理的时滞系统范围很有限;2)未能充分利用能够大大降低时滞结果保守性的最新技术,比如时滞分割技术;3)所有的研究成果都是从传递函数角度导出的,很难在降低保守性方面进一步推广。在此基础上,研究具有状态常时滞的连续和离散线性定常系统的有限频域H∞性能分析问题,给出新的时滞系统有限频域有界实引理,并分别从时域和频域角度证明新的有限频域有界实引理。
     第二、在提出的有界实引理基础上,研究具有状态常时滞的连续和离散线性定常系统的有限频域H∞滤波问题,利用投影定理,提出基于线性矩阵不等式的时滞相关和时滞无关的有限频域H∞滤波器设计方法。理论分析和数值结果都验证提出的滤波器设计方法比文献中已有的方法具有更低的保守性。
     第三、作为时滞系统有限频域H∞问题的扩展,研究一类特殊时滞系统即具有多面体参数不确定性的2D Roesser系统的鲁棒有限频域H∞滤波问题,结合已有的2D Roesser系统的广义KYP引理和投影定理,获得2D系统的有限频域H∞滤波器设计方法。通过使用更加一般的线性化步骤,使已有的滤波研究成果仅仅是提出的2D系统滤波器设计方法的特殊情形。
Filtering or state estimation is using the external measured signal to estimatethe unmeasurable signal, which is one of the fundamental problems in control theory,signal processing and other areas. Due to the necessity of both precisely known sta-tistical data of noise and the system state space model, the classic Kalman filteringoften encounters the problem of poor robustness in practical engineering application-s. Hence, over the past decades, many scholars have been studying robust filteringunder nongaussian noise disturbance input, among which, H∞filtering is one ofthe most widely concerned problems. It is worth noting that, after twenty yearsdevelopment, H∞filtering theory is mostly based on the standard H∞performanceindex, which requires that the filtering error system has the same noise disturbanceattenuation level over the entire frequency domain. Since this index does not makefull use of the frequency information of the noise, it is difficult for standard H∞filters to achieve the ideal performance requirements. In addition, time-delay in-evitably exists in many practical dynamic systems; especially with the developmentof network technologies, time-delay often becomes the key factor that affects systemperformances. With the establishment of the generalized KYP lemma, the prob-lems of analysis and synthesis of finite frequency (FF) H∞filtering for time-delaysystems have been the research hotspots in recent years in the field of H∞filteringtheory. By comprehensively applying the Lyapunov stability theory and the gen-eralized KYP lemma, this thesis in deep investigates the problems of analysis ofthe FF H∞performance, design of FF H∞filters and so on for continuous- anddiscrete-time time-delay systems, and in the framework of linear matrix inequality(LMI), proposes the analysis and synthesis methods for FF H∞filters.
     First, this thesis summarizes the main achievements in the research field ofH∞filtering theory for time-delay systems, and points out the shortages of thecurrent main achievements of FF H∞filtering threefold: 1) the majority of resultsare independent of delay, only able to handle quite limited time-delay systems; 2)they have not made full use of the latest techniques that reduce the conservatismof results for time-delay systems, such as delay-partitioning; 3) all the results are derived from the perspective of the transfer function and it is hard to further promotethis method in the aspect of conservatism reduction. Based on these analysis, theproblem of analyzing the FF H∞performance for continuous- and discrete-timelinear time-invariant (LTI) systems with constant state delay is studied, and newFF bounded real lemmas (BRLs) for time-delay systems are proposed. Moreover,time-domain method and frequency-domain method for the proof of the new BRLsare respectively provided.
     Second, based on the proposed BRLs, the problems of FF H∞filtering forcontinuous- and discrete-time LTI systems with constant state delay are researched,and by virtue of projection lemma, LMI-based delay-dependent and -independentmethods are proposed for the design of FF H∞filters. Theoretical analysis andsimulation results verify that the proposed filter design methods are less conservativethan the existing ones in the literature.
     Third, as the extension of the problem of FF H∞filtering for time-delay system-s, the thesis still investigates the problem of robust FF H∞filtering for 2D Roessersystems with polyhedron parameter uncertainty, a special class of time-delay sys-tems. By combining the existing generalized KYP lemma for 2D Roesser systemswith projection lemma, an FF H∞filter design method is obtained. Through theuse of a more general linearization procedure, the existing filter design methods for2D systems are only special cases of the proposed one.
引文
[1] J. P. Richard. Time-Delay Systems: An Overview of some Recent Advancesand Open Problems[J]. Automatica, 2003, 39(10):1667–1694.
    [2] K. Gu, V. L. Kharitonov, J. Chen. Stability of Time-Delay Systems[M]. Berlin,Germany: Springer-Verlag, 2003.
    [3] H. Gao, T. Chen. H∞Estimation for Uncertain Systems with Limited Com-muniation Capacity[J]. IEEE Transactions on Automatic Control, 2007,52(11):2070–2084.
    [4]董明晓,梅雪松.时滞滤波理论及其工程应用[M].北京:科学出版社, 2008.
    [5] B. D. O. Anderson, J. B. Moore. Optimal Filtering[M]. Englewood Cliffs: NJ:Prentice-Hall, 1979.
    [6] R. E. Kalman. A New Approach to Linear Filtering and Prediction Problem-s[J]. Journal of Basic Engineering, 1960, 82D(1):35–45.
    [7] S. Xu. Robust H∞Filtering for a Class of Discrete-time Uncertain NonlinearSystems with State Delay[J]. IEEE Transactions on Circuits and Systems -Part I: Regular Papers, 2002, 49:1853–1859.
    [8] C. E. de Souza, L. Xie, Y. Wang. H∞Filtering for a Class of Uncertain Non-linear Systems[J]. Systems & Control Letters, 1993, 20(6):419–426.
    [9] M. Sun, K. M. Nagpal, P. P. Khargonekar. H∞Control and Filtering forSampled-Data Systems[J]. IEEE Transactions on Automatic Control, 1993,38(8):1162–1175.
    [10] U. Shaked, N. Berman. H∞Nonlinear Filtering of Discrete-Time Processes[J].IEEE Transactions on Signal Processing, 1995, 43(9):2205–2209.
    [11] P. Park, T. Kailath. H∞Filtering via Convex Optimization[J]. InternationalJournal of Control, 1997, 66(1):15–22.
    [12] R. M. Palhares, P. L. D. Peres. Robust H∞-Filtering Design with Pole Place-ment Constraint via Linear Matrix Inequalities[J]. Journal of OptimizationTheory and Applications, 1999, 102(2):239–261.
    [13] K. M. Grigoriadis, J. T. Watson. Reduced Order H∞and H2-H∞Filtering viaLinear Matrix Inequalities[J]. IEEE Transactions on Aerospace and ElectronicSystems, 1997, 33(4):1326–1338.
    [14] S. Xu, T. Chen. Reduced-Order H∞Filtering for Stochastic Systems[J]. IEEETransactions on Signal Processing, 2002, 50(12):2998–3007.
    [15]何勇,吴敏.时滞系统鲁棒控制-自由权矩阵方法[M].北京:科学出版社,2008.
    [16]俞立.鲁棒控制-线性矩阵不等式处理方法[M].北京:清华大学出版社, 2002.
    [17] Y.-Y. Cao, Y.-X. Sun, J. Lam. Delay-dependent Robust H∞Control for Uncer-tain Systems with Time-varying Delays[J]. IEE Proceedings - Control Theory& Applications, 1998, 145:338–344.
    [18] C. E. de Souza, X. Li. Delay-Dependent Robust H∞Control of UncertainLinear State-Delayed Systems[J]. Automatica, 1999, 35:1313–1321.
    [19] E. Fridman, U. Shaked. Delay-Dependent Stability and H∞Control: Constantand Time-Varying Delays[J]. International Journal of Control, 2003, 76(1):48–60.
    [20] P. Park. A Delay-Dependent Stability Criterion for Systems with UncertainTime-Invariant Delays[J]. IEEE Transactions on Automatic Control, 1999,44(4):876–877.
    [21] Y. S. Moon, P. Park, W. H. Kwon, et al. Delay-Dependent Robust Stabilizationof Uncertain State-Delayed Systems[J]. International Journal of Control, 2001,74:1447–1455.
    [22] E. Fridman. New Lyapunov-Krasovskii Functionals for Stability of LinearRetarded and Neutral Type Systems[J]. Systems & Control Letters, 2001,43(4):309–319.
    [23] S. I. Niculescu. On Delay-Dependent Stability under Model Transformationsof some Neutral Linear Systems[J]. International Journal of Control, 2001,74(6):608–617.
    [24] M. Wu, Y. He, J. H. She, et al. Delay-Dependent Criteria for Robust Stabilityof Time-Varying Delay Systems[J]. Automatica, 2004, 40(8):1435–1439.
    [25] Y. He, M. Wu, J. H. She, et al. Parameter-Dependent Lyapunov Functional forStability of Time-Delay Systems with Polytopic-Type Uncertainties[J]. IEEETransactions on Automatic Control, 2004, 49(5):828–832.
    [26] Y. He, M. Wu, J. H. She, et al. Delay-Dependent Robust Stability Criteria forUncertain Neutral Systems with Mixed Delays[J]. Systems & Control Letters,2004, 51(1):57–65.
    [27] S. Xu, J. Lam. Improved Delay-Dependent Stability Criteria for Time-DelaySystems[J]. IEEE Transactions on Automatic Control, 2005, 50(3):384–387.
    [28] S. Xu, J. Lam, Y. Zou. Improved Conditions for Delay-Dependent Robust Sta-bility and Stabilization of Uncertain Discrete Time-Delay Systems[J]. AsianJournal of Control, 2005, 7(3):344–348.
    [29] X. Zhang, M. Wu, J. She, et al. Delay-Dependent Stabilization of LinearSystems with Time-Varying State and Input Delays[J]. Automatica, 2005,41(8):1405–1412.
    [30] X. Zhang, Q. Han. Delay-Dependent Robust H∞Filtering for UncertainDiscrete-Time Systems with Time-Varying Delay Based on a Finite Sum In-equality[J]. IEEE Transactions on Circuits and Systems - Part II: ExpressBriefs, 2006, 53(12):1466–1470.
    [31] F. Gouaisbaut, D. Peaucelle. Delay-Dependent Robust Stability of Time DelaySystems[C]//5th IFAC Symposium on Robust Control Design (ROCOND’06).Toulouse, France, 2006.
    [32] F. Gouaisbaut, D. Peaucelle. A Note on Time Delay Systems[C]//5th IFACSymposium on Robust Control Design (ROCOND’06). Toulouse, France, 2006.
    [33] F. Gouaisbaut, D. Peaucelle. Delay-Dependent Stability Analysis of LinearTime Delay Systems[C]//IFAC Workshop on Time Delay Systems (TDS’06).Aquila, Italy, 2006.
    [34] Y. He, Q. G. Wang, L. H. Xie, et al. Further Improvement of Free-WeightingMatrices Technique for Systems with Time-Varying Delay[J]. IEEE Transac-tions on Automatic Control, 2007, 52(2):293–299.
    [35] Y. He, M. Wu, Q.-L. Han, et al. Delay-Dependent H∞Control of LinearDiscrete-Time Systems with an Interval-Like Time-Varying Delay[J]. Interna-tional Journal of Systems Science, 2008, 39(4):427–436.
    [36] Y. He, M. Wu, L. Guo-Ping., et al. Output Feedback Stabilization for aDiscrete-Time Systems with a Time-Varying Delay[J]. IEEE Transactionson Automatic Control, 2008, 53:2372–2377.
    [37] Y. He, G. Liu, D. Rees, et al. H∞Filtering for Discrete-Time Systems withTime-Varying Delay[J]. Signal Processing, 2009, 89(3):275–282.
    [38] X. Meng, J. Lam, B. Du, et al. A Delay-partitioning Approach to the StabilityAnalysis of Discrete-time Systems[J]. Automatica, 2010, 46(3):610–614.
    [39] Y. Zhao, H. Gao, J. Lam, et al. Stability and Stabilization of Delayed T-SFuzzy Systems: A Delay Partitioning Approach[J]. IEEE Transactions onFuzzy Systems, 2009, 17(4):750–762.
    [40] R. Yang, Z. Zhang, P. Shi. Exponential Stability on Stochastic Neural Networkwith Discrete Interval and Distributed Delays[J]. IEEE Transactions on NeuralNetworks, 2010, 21(1):169–175.
    [41] B. Du, J. Lam, Z. Shu, et al. A Delay-Partitioning Projection Approach toStability Analysis of Continuous Systems with Multiple Delay Components[J].IET Control Theory and Applications, 2009, 3(4):383–390.
    [42]郑敏,费树岷.区间变时滞不确定线性系统带记忆H∞状态反馈控制[J].自动化学报, 2007, 33(11):1211–1215.
    [43] A. Elsayed, M. J. Grimble. A New Approach to H∞Design of Optimal DigitalLinear Filters[J]. IMA Journal of Mathematics and Control Information, 1989,6:233–251.
    [44] P. Shi. Filtering on Sampled-Data Systems with Parametric Uncertainty[J].IEEE Transactions on Automatic Control, 1998, 43(7):1022–1027.
    [45] Z. Wang, K. J. Burnham. Robust Filtering for a Class of Stochastic UncertainNonlinear Time-Delay Systems via Exponential State Estimation[J]. IEEETransactions on Signal Processing, 2001, 49(4):794–804.
    [46] Z. Wang, B. Huang, H. Unbehauen. Robust H∞Observer Design for Lin-ear Time-Delay Systems with Paramatric Uncertainty[J]. Systems & ControlLetters, 2001, 42(4):303–312.
    [47] C. E. de Souza, R. M. Palhares, P. L. D. Peres. Robust H∞Filter Design forUncertain Linear Systems with Multiple Time-Varying State Delays[J]. IEEETransactions on Signal Processing, 2001, 49(3):569–576.
    [48] Z. Wang, F. Yang, D. W. C. Ho, et al. Robust H∞Filtering for StochasticTime-Delay Systems with Missing Measurements[J]. IEEE Transactions onSignal Processing, 2006, 54(7):2579–2587.
    [49] J. H. Kim, S. J. Ahn, S. Ahn. Guaranteed Cost and H∞Fltering for Discrete-Time Polytopic Uncertain Systems with Time Delay[J]. Journal of the FranklinInstitute, 2005, 342:365–378.
    [50] R. M. Palhares, C. E. de Souza, P. L. D. Peres. Robust H∞Filtering forUncertain Discrete-Time State-Delayed Systems[J]. IEEE Transactions onSignal Processing, 2001, 49(8):1696–1703.
    [51] E. Fridman, U. Shaked, L. Xie. Robust H∞Filtering of Linear Systems withTime-Varying Delay[J]. IEEE Transactions on Automatic Control, 2003,48(1):159–165.
    [52] H. Gao, C. Wang. Delay-Dependent Robust H∞and H2-H∞Filtering for aClass of Uncertain Nonlinear Time-Delay Systems[J]. IEEE Transactions onAutomatic Control, 2003, 48(9):1661–1666.
    [53] Y. He, Q. Wang, C. Lin. An Improved H∞Filter Design for Systems withTime-Varying Interval Delay[J]. IEEE Transactions on Circuits and Systems- Part II: Express Briefs, 2006, 53(11):1235–1239.
    [54] X. Zhang, Q. Han. Robust H∞Filtering for a Class of Uncertain LinearSystems with Time-Varying Delay[J]. Automatica, 2008, 44:157–166.
    [55] H. Gao, T. Chen. New Results on Stability of Discrete-Time Systems withTime-Varying State Delay[J]. IEEE Transactions on Automatic Control, 2007,52:328–334.
    [56] J. Qiu, G. Feng, J. Yang. A New Design of Delay-Dependent Robust H∞Filtering for Continuous-Time Polytopic Systems with Tiem-Varying Delay[J].International Journal of Robust & Nonlinear Control, 2010, 20(3):346–365.
    [57] H. Gao, C. Wang. A Delay-Dependent Approach to Robust H∞Filteringfor Uncertain Discrete-time State-delayed Systems[J]. IEEE Transactions onSignal Processing, 2004, 52(6):1631–1640.
    [58] J. Qiu, G. Feng, J. Yang. Improved Delay-Dependent H∞Filtering Designfor Discrete-Time Polytopic Linear Delay Systems[J]. IEEE Transactions onCircuits and Systems - Part II: Express Briefs, 2008, 55(2):178–182.
    [59] S. Xu, T. Chen. An LMI Approach to the H∞Filter Design for Uncertain Sys-tems with Distributed Delays[J]. IEEE Transactions on Circuits and Systems- Part II: Express Briefs, 2004, 51(4):195–201.
    [60] C. Lin, Q.-G. Wang, T. Lee, et al. Fuzzy Weighting-Dependent Approach to??∞Filter Design for Time-Delay Fuzzy Systems[J]. IEEE Transactions onSignal Processing, 2007, 55(6):275–282.
    [61] J. Qiu, G. Feng, J. Yang. A New Design of Delay-Dependent Robust ??∞Filtering for Discrete-Time T-S Fuzzy Systems with Time-Varing Delay[J].IEEE Transactions on Fuzzy Systems, 2009, 17(5):1044–1058.
    [62] T. Kaczorek. Two-dimensional Linear Systems[M]. Berlin: Springer-Verlag,1985.
    [63] R. P. Roesser. A Discrete State-space Model for Linear Image Processing[J].IEEE Transactions on Automatic Control, 1975, 20(1):1–10.
    [64] E. Fornasini, G. Marchesini. Doubly Indexed Dynamical Systems: State-spaceModels and Structual Properties[J]. Math. Syst. Theory, 1978, 12:59–72.
    [65] T. Hinamoto. 2-D Lyapunov Equations and Filter Design Based on theFornasini-Marchesini Second Model[J]. IEEE Trans. Circuits Syst. I, Fun-damental Theory Applicat., 1993, 40(2):102–110.
    [66] W.-S. Lu, E. B. Lee. Stability Analysis for Two-dimensional Systems via aLyapunov Approach[J]. IEEE Trans. Circuits Syst., 1985, CAS-32(1):61–68.
    [67] C. Du, L. Xie, Y. C. Soh. ??∞Reduced-order Approximation of 2-D DigitalFilters[J]. IEEE Trans. Circuits Syst. I, Fundamental Theory Applicat., 2001,48(6):688–698.
    [68] H. Gao, J. Lam, C. Wang, et al. ??∞Model Reduction for Uncertain Two-dimensional Discrete Systems[J]. Optimal Control Applications and Methods,2005, 26(4):199–227.
    [69] J. Lam, S. Xu, Y. Zou, et al. Robust Output Feedback Stabilization for Two-dimensional Continuous Systems in Roesser Form[J]. Applied MathematicsLetters, 2004, 17(12):1331–1341.
    [70] R. Yang, L. Xie, C. Zhang. ??2 and Mixed ??2/??∞Control of Two-dimensionalSystems in Roesser Model[J]. Automatica, 2006, 42(9):1507–1514.
    [71] S. Xu, J. Lam, Z. Lin, et al. Positive Real Control for Uncertain Two-dimensional Systems[J]. IEEE Trans. Circuits Syst. I, Fundamental TheoryApplicat., 2002, 49(11):1659–1666.– 87–
    [72] T. Katayama, M. Kosaka. Recursive Filtering Algorithm for a 2-D System[J].IEEE Transactions on Automatic Control, 1979, AC-24(1):130–132.
    [73] J. W. Woods, V. K. Ingle. Kalman Filtering in Two Dimensions: FurtherResults[J]. IEEE Transactions on Acoustics, Speech and Signal Processing,1981, ASSP-29(2):188–197.
    [74] C. Du, L. Xie, C. Zhang. Solutions for H∞Filtering of Two-dimensional Sys-tems[J]. Multidimensional Systems and Signal Processing, 2000, 11(4):301–320.
    [75] H. Gao, X. Meng, T. Chen. New Design of Robust H∞Filters for 2-D System-s[J]. IEEE Signal Processing Letters, 2008, 15:217–220.
    [76] S. Xu, J. Lam, Y. Zou, et al. Robust H∞Filtering for Uncertain 2-D Contin-uous Systems[J]. IEEE Transactions on Signal Processing, 2005, 53(5):1731–1738.
    [77] L. Wu, Z. Wang, H. Gao, et al. H∞and H2 ? H∞Filtering for Two-dimensionalLinear Parameter-dependent Systems[J]. International Journal of Robust &Nonlinear Control, 2007, 17(12):1129–1154.
    [78] H. D. Tuan, P. Apkarian, T. Q. Nguyen. Robust Mixed H2/H∞Filtering of 2-DSystems[J]. IEEE Transactions on Signal Processing, 2002, 50(7):1759–1771.
    [79] S.-F. Chen, I.-K. Fong. Delay-dependent Robust H∞Filtering for Uncertain2-D State-delayed Systems[J]. Signal Processing, 2007, 87(11):2659–2672.
    [80] S.-F. Chen, I.-K. Fong. Robust Filtering for 2-D State-delayed Systems with N-FT Uncertainties[J]. IEEE Transactions on Signal Processing, 2006, 54(1):274–285.
    [81] H. Gao, J. Lam, C. Wang, et al. Robust H∞Filtering for 2D Stochastic Sys-tems[J]. Circuits, Systems and Signal Processing, 2004, 23(6):479–505.
    [82] L. Wu, P. Shi, H. Gao, et al. H∞Filtering for 2D Markovian Jump Systems[J].Automatica, 2008, 44(7):1849–1858.
    [83] P. Picard, J. F. Lafay, V. Kucera. Model Matching for Linear Systems withDelays and 2d Systems[J]. Automatica, 1998, 34(2):183–191.
    [84] T. Iwasaki, S. Hara. Generalized KYP Lemma: Unified Frequency DomainInequalities with Design Applications[J]. IEEE Transactions on AutomaticControl, 2005, 50:41–59.
    [85] A. Rantzer. On the Kalman-Yakubovich-Popov Lemma[J]. Systems & ControlLetters, 1996, 28:7–10.
    [86] T.Iwasaki, G.Meinsma, M.Fu. Generalized H-Procedure and Finite FrequencyKYP Lemma[J]. Mathematical Problems in Engineering, 2000, 6:305–320.
    [87] T. Iwasaki, S. Hara, H. Yamauchi. Dynamical System Design from a ControlPerspective: Finite Frequency Positive-Realness Approach[J]. IEEE Transac-tions on Automatic Control, 2003, 48:1337–1354.
    [88] T. Iwasaki, S. Hara. Generalization of Kalman-Yakuboviˇc-Popov Lemma forRestricted Frequency Inequalities[C]//Proceedings of the American ControlConference. Denver, Colorado, 2003:3828–3833.
    [89] T. Iwasaki, S.Hara. Feedback Control Synthesis of Multiple Frequency DomainSpecifications via Generalized Kyp Lemma[J]. International Journal of Robust& Nonlinear Control, 2007, 17:415–434.
    [90] T. Iwasaki, S. Hara. Robust Control Systhesis with General Frequency Do-main Specifications: Static Gain Feedback Control[C]//Proceedings of the2004 American Control Conference. Boston, Massechusetts, 2004:4613–4618.
    [91] H. G. Hoang, H. D. Tuan, T. Nguyen. Frequency-Selective KYP Lemma, IIRFilter, and Filter Bank Design[J]. IEEE Transactions on Signal Processing,2009, 57:956–965.
    [92] R. Yang, L. Xie, C. Zhang. Generalized Two-Dimensional Kalman-Yakubovich-Popov Lemma for Discrete Roesser Model[J]. IEEE Transactionson Circuits and Systems - Part I: Regular Papers, 2008, 55(20):3223–3233.
    [93] H. Wang, G.-H. Yang. A Finite Frequency Approach to Filter Design for Un-certain Discrete-Time Systems[J]. International Journal of Adaptive Control& Signal Processing, 2008, 22:533–550.
    [94] H. Wang, G. Yang. Fault Detection Observer Design for Linear Discrete-Time Systems in Finite Frequency Domain[C]//Proceedings of the 46th IEEEConference on Decision and Control. New Orleans, LA, USA, 2007:378–383.
    [95] C. Du, L. Xie, G. Guo, et al. A Generalized KYP Lemma Based Approachfor Disturbance Rejection in Data Storage Systems[J]. Automatica, 2007,43:2112–2118.
    [96] Y. Chen, W. Zhang, H. Gao. Finite Frequency H∞Control for Building underEarthquake Excitation[J]. Mechatronics, 2010, 20(1):128–142.
    [97] X.-N. Zhang, G.-H. Yang. Control Synthesis via State Feedback with FiniteFrequency Specifications for Time-Delay Systems[J]. International Journal ofControl, 2009, 82:508–516.
    [98] X.-J. Li, G.-H. Yang. Fault Estimation for Discrete-Time Delay Systems in Fi-nite Frequency Domain[C]//Proceedings of the American Control Conference.2009.
    [99] X.-N. Zhang, G.-H. Yang. Delay-dependent Filtering for Discrete-time System-s with Finite Frequency Small Gain Specifications[C]//Proceedings of Joint48th IEEE Conference on Decision and Control & 28th Chinese Control Con-ference. Shanghai, P.R.China, 2009:4420–4425.
    [100] X.-N. Zhang, G.-H. Yang. Performance Analysis for Multi-delay Systems inFinite Frequency Domains[J]. International Journal of Robust & NonlinearControl, 2011, Accepted for future publication.
    [101] X.-N. Zhang, G.-H. Yang. Delay-dependent State Feedback Control with SmallGain Conditions in Finite Frequency Domains[J]. International Journal ofSystems Science, 2011, 42(3):369–375.
    [102] K. Gu. An Integral Inequality in the Stability Problem of Time-delay Sys-tems[C]//Proceedings of the 39th IEEE Conference on Decision and Control.Sydney, Australia, 2000:2805–2810.
    [103] K. Zhou, J. C. Doyle, K. Glover. Robust and Optimal Control[M]. NJ.:Prentice-Hall, 1996.
    [104] H. Gao, C. Wang. Robust H2-H∞Filtering for Uncertain Systems with MultipleTime-varying State Delays[J]. IEEE Transactions on Circuits and Systems -Part I: Regular Papers, 2003, 50(4):594–599.
    [105] E. Fridman, U. Shaked. A Descriptor System Approach to H∞Control of Lin-ear Time-delay Systems[J]. IEEE Transactions on Automatic Control, 2002,47(2):253–270.
    [106] Y. S. Lee, Y. S. Moon, W. H. Kwon, et al. Delay-dependent Robust H∞Controlfor Uncertain Systems with a State-delay[J]. Automatica, 2004, 40:65–72.
    [107] S. Xu, J. Lam, Y. Zou. New Results on Delay-dependent Robust H∞Controlfor Systems with Time-varying Delays[J]. Automatica, 2006, 42:343–348.
    [108] X. Li, Z. Li, H. Gao. Further Results on H∞Filtering for Discrete-time Systemswith State Delay[J]. International Journal of Robust & Nonlinear Control,2011, 21(3):248–270.
    [109] P. Gahinet, P. Apkarian. A Linear Matrix Inequality Approach to H∞Con-trol[J]. International Journal of Robust & Nonlinear Control, 1994, 4:421–448.
    [110] S. Boyd, L. El Ghaoui, E. Feron, et al. Linear Matrix Inequalities in Systemsand Control Theory[M]. Philadelphia, PA: SIAM, 1994.
    [111] E. Fridman, U. Shaked. An Improved Delay-dependent H∞Filtering of LinearNeutral Systems[J]. IEEE Transactions on Signal Processing, 2004, 52(3):668–673.
    [112] L. Wu, J. Lam, W. Paszke, et al. Control and Filtering for Discrete LinearRepetitive Processes with H∞and H2 ? H∞Performance[J]. MultidimensionalSystems and Signal Processing, 2009, 3(3):235–264.
    [113] C.-Y. Gao, G.-R. Duan, X.-Y. Meng. Robust H∞Filter Design for 2D DiscreteSystems in Roesser Model[J]. Int. J. Automat. Comput., 2008, 5(4):413–418.
    [114] H. Xu, Z. Lin, A. Makur. Non-fragile H2 and H∞Filter Designs for PolytopicTwo-dimensional Systems in Roesser Model[J]. Multidimensional Systems andSignal Processing, 2010, 21(3):255–275.
    [115] R. C. L. F. Oliveira, P. L. D. Peres. LMI Conditions for Robust StabilityAnalysis Based on Polynomially Parameter-dependent Lyapunov Functions[J].Systems & Control Letters, 2006, 55(1):52–61.
    [116] P. Gahinet, A. Nemirovskii, A. J. Laub, et al. LMI Control Toolbox User’sGuide[M]. Natick, MA: The Math. Works Inc., 1995.
    [117] Z. Duan, J. Zhang, C. Zhang, et al. Robust H2 and H∞Filtering for UncertainLinear Systems[J]. Automatica, 2006, 42(11):1919–1926.
    [118] L. Xie, L. Lu, D. Zhang, et al. Improved Robust H2 and H∞Filtering forUncertain Discrete-time Systerms[J]. Automatica, 2004, 40(5):873–880.
    [119] C. Du, L. Xie, Y. C. Soh. H∞Filtering of 2-D Discrete Systems[J]. IEEETransactions on Signal Processing, 2000, 48(6):1760–1768.

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