共查询到17条相似文献,搜索用时 719 毫秒
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This paper deals with H-infinity filtering of discrete-time systems with polytopic uncertainties. The un- certain parameters are supposed to reside in a polytope. By using the parameter-dependent Lyapunov function approach and introducing some slack matrix variables, a new sufficient condition for the H-infinity filter design is presented in terms of solutions to a set of linear matrix inequalities (LMIs). In contrast to the existing results for H-infinity filter design, the main advantage of the proposed design method is the reduced conservativeness. An example is provided to demonstrate the effectiveness of the proposed method. 相似文献
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In this paper, we propose a new target tracking approach for wireless sensor networks (WSNs) by using the extended H-infinity filter. First, the extended H-infinity filter for nonlinear discrete-time systems is deduced through the Krein space analysis scheme. Then, the proposed extended H-infinity filtering algorithm is applied to target tracking in wireless sensor networks. Finally, experiments are conducted through a small wireless sensor network test-bed. Both experimental and simulation results illustrate that the extended H-infinity filtering algorithm is more accurate to track a moving target in wireless sensor networks than using the extended Kalman filter in the case of having no knowledge of the statistics of the environment and the target to be tracked. 相似文献
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In this paper, a new reliable H-infinity filter design problem is proposed for a class of continuous-time systems with sensor saturation and failures. Attention is focused on the analysis and synthesis problems of a full order reliable H-infinity filter such that the filtering error dynamics is asymptotically stable with a guaranteed disturbance rejection attenuation level γ. It is shown that the filtering error dynamics obtained from the original system plus the filter can be modeled by a linear system with sector bounded nonlinearity. The design conditions are given in terms of solutions to a set of linear matrix inequalities (LMIs). These conditions are then considered in a convex optimization problem with LMIs constraints in order to design an optimal reliable H-infinity filter. A numerical example is given to illustrate the effectiveness of the proposed results. 相似文献
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This paper proposes a new FIR (finite impulse response) filter under a least squares criterion using a forgetting factor. The proposed FIR filter does not require information of the noise covariances as well as the initial state, and has some inherent properties such as time-invariance, unbiasedness and deadbeat. The proposed FIR filter is represented in a batch form and then a recursive form as an alternative form. Prom discussions about the choice of a forgetting factor and a window length, it is shown that they can be considered as useful parameters to make the estimation performance of the proposed FIR filter as good as possible. It is shown that the proposed FIR filter can outperform the existing FIR filter with incorrect noise covariances via computer simulations. Finally, as a useful application, an image sequence stabilization problem is considered. Through this application, the FIR filtering based approach is shown to be superior to the Kalman filtering based approach. 相似文献
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H-infinity control problem for linear discrete-time systems with instantaneous and delayed measurements is studied. A necessary and sufficient condition for the existence of the H-infinity controller is derived by applying reorganized innovation analysis approach in Krein space. The measurement-feedback controller is designed by performing two Riccati equations. The presented approach does not require the state augmentation. 相似文献
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Xiao-WeiLit Guang-HuiLi MingShao 《计算机科学技术学报》2005,20(1):0-0
This paper exploits Boolean satisfiability problem in equivalence checking and model checking respectively. A combinational equivalence checking method based on incremental satisfiability is presented. This method chooses the candidate equivalent pairs with some new techniques, and uses incremental satisfiability algorithm to improve its performance.By substituting the internal equivalent pairs and converting the equivalence relations into conjunctive normal form (CNF)formulas, this approach can avoid the false negatives, and reduce the search space of SAT procedure. Experimental results on ISCAS‘85 benchmark circuits show that, the presented approach is faster and more robust than those existed in literature.This paper also presents an algorithm for extracting of unsatisfiable core, which has an important application in abstraction and refinement for model checking to alleviate the state space explosion bottleneck. The error of approximate extraction is analyzed by means of simulation. An analysis reveals that an interesting phenomenon occurs, with the increasing density of the formula, the average error of the extraction is decreasing. An exact extraction approach for MU subformula, referred to as pre-assignment algorithm, is proposed. Both theoretical analysis and experimental results show that it is more efficient. 相似文献
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This paper investigates a fault detection problem for a class of discrete-time Markovian jump systems with norm-bounded uncertainties and mode-dependent time-delays. Attention is focused on constructing the residual generator based on the filter of which its parameters matrices are dependent on the system mode, that is, the fault detection filter is a Markovian jump system as well. The design of fault detection filter is reduced to H-infinity filtering problem by using H-infinity control theory, which can guarantee the difference between the residual and the fault (or, more generally weighted fault) as small as possible in the context of enhancing the robustness of residual to modeling errors, control inputs and unknown inputs. Sufficient condition for the existence of the above filters is established by means of linear matrix inequalities, which can be readily solved by using standard numerical software. A numerical example is given to illustrate the feasibility of the proposed method. 相似文献
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Nonlinear robust H-infinity filtering for a class of uncertain systems via convex optimization 总被引:1,自引:0,他引:1
A new approach for robust H-infinity filtering for a class of Lipschitz nonlinear systems with time-varying uncertainties both in the linear and nonlinear parts of the system is proposed in an LMI framework. The admissible Lipschitz constant of the system and the disturbance attenuation level are maximized simultaneously through convex multi-objective optimization. The resulting H-infinity filter guarantees asymptotic stability of the estimation error dynamics with exponential convergence and is robust against nonlinear additive uncertainty and time-varying parametric uncertainties. Explicit bounds on the nonlinear uncertainty are derived based on norm-wise and element-wise robustness analysis. 相似文献
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Robust H-infinity filtering for a class of uncertain discrete-time linear systems with time delays and missing measurements is studied in this paper. The uncertain parameters are supposed to reside in a convex polytope and the missing measurements are described by a binary switching sequence satisfying a Bernoulli distribution. Our attention is focused on the analysis and design of robust H-infinity filters such that, for all admissible parameter uncertainties and all possible missing measurements, the filtering error system is exponentially mean-square stable with a prescribed H-infinity disturbance attenuation level. A parameter-dependent approach is proposed to derive a less conservative result. Sufficient conditions are established for the existence of the desired filter in terms of certain linear matrix inequalities (LMIs). When these LMIs are feasible, an explicit expression of the desired filter is also provided. Finally, a numerical example is presented to illustrate the effectiveness and applicability of the proposed method. 相似文献
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Xiao Lu Huanshui Zhang Jie Yan 《International Journal of Control, Automation and Systems》2010,8(4):896-902
The paper deals with the H ∞ deconvolution fixed-lag smoothing problem for a linear timeinvariant discrete-time system with both known and unknown input series. The H ∞ fixed-lag smoother is derived by proposing a new approach termed as re-organized innovation analysis in Krein space. Under the new approach, it is clearly shown that the central deconvolution smoother in an H ∞ setting is the same as the one in an H 2 setting associated with one self-constructed stochastic state-space model. This insight allows us to calculate the complicated H ∞ deconvolution smoother in an intuitive and simple way. The deconvolution smoother is calculated by performing Riccati equation with the same order as the original system. 相似文献
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基于格林空间中的新息分析方法和卡尔曼滤波理论, 首次给出了广义系统H∞多步预报器存在的充要条件和一种简单的计算方法. 本文将广义系统的H∞多步预报问题转化为带有当前观测和时滞观测的格林空间中广义系统最小方差估计问题, 然后引入新息重组序列解决该最小方差估计问题. 通过求解维数与变换后的系统相同的两个黎卡提方程得到了H∞预报器, 避免了处理带观测时滞系统时常采用的系统增广方法. 数值例子表明利用本文的新息重组方法计算广义系统H∞多步预报器比用系统增广方法计算量小. 相似文献
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针对常规H∞滤波在组合导航系统中滤波精度不高的问题,采用闭环反馈的方法对滤波加以改进;并在闭环H∞滤波迭代方程中引入遗忘因子,利用量测噪声的变化自适应调整滤波增益,构成自适应闭环H∞滤波.理论分析表明,该改进的滤波算法降低了噪声十扰,但不影响H∞滤波本身的鲁棒性.无源北斗/SINS组合导航系统跑车数据的半物理仿真进一步表明,自适应闭环H∞滤波下的组合导航精度明显优于采用开环H∞滤波或不带有遗忘因子的闭环H∞滤波算法的导航精度,从而验证了改进滤波算法的有效性. 相似文献
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