飞行控制系统的鲁棒性评估方法研究

随着现代飞机气动布局的改进和控制方式的多样化,旧有的评价体系已经不能适应新兴的控制系统。针对目前国内外对飞行控制律鲁棒性评估方法的不足,发展了一种基于MonteCarlo方法的评价控制律鲁棒性能的方法。提出了鲁棒度的概念,给出了具体的系统鲁棒性量化指标及计算方法,通过对飞行控制律鲁棒度的比较,进而完成对飞行控制律鲁棒性的评估。它能直观并且定量地得到控制系统在任意给定性能水平下的鲁棒度数值,从而可对不同飞行控制律鲁棒性能的优劣做出比较,得到更为直观的的评价结果。     

数字博物馆中的图像版权保护研究

随着数字博物馆的不断发展,关于数字博物馆中的图像版权保护越来越受到人们的重视。首先对数字水印技术和数字博物馆进行介绍,然后就数字水印技术用于解决数字博物馆中图像版权保护问题进行探讨,提出一种新的基于奇异值分解的盲数字图像水印算法。利用Arnold混沌映射将水印进行预处理,并按水印的大小把原始图像分成若干个子块,利用矩阵的奇异分解方法分解每个子块,通过比较调整相邻图像块最大奇异值来完成水印的嵌入。实验结果表明,该算法对于JPEG有损压缩、剪切、加噪声等攻击具有很强的鲁棒性。     

Hybrid dynamics of stochastic programs

We provide Stochastic Concurrent Constraint Programming (sCCP), a stochastic process algebra based on CCP, with a semantics in terms of hybrid automata. We associate with each sCCP program both a stochastic and a non-deterministic hybrid automaton. Then, we compare such automata with the standard stochastic semantics (given by a Continuous Time Markov Chain) and the one based on ordinary differential equations, obtained by a fluid-flow approximation technique. We discuss in detail two case studies: Repressilator and the Circadian Clock, with particular regard to the robustness exhibited by the different semantic models and to the effect of discreteness in dynamical evolution of such systems.     

离散不确定系统预估+ 步长修正变结构控制

在现有文献的基础上，给出一种预估＋步长修正的离散变结构控制律设计方法，该方法可用于离散时间不确定系统变结构控制，有效地抑制切换函数的发散振荡，克服现有方法中条件限制过程的缺点，仿真结果表明，该方法具有收敛性好，抖振小，鲁棒性强的优点。     

An LMI approach to design robust fault detection filter for uncertain LTI systems

In this paper, the robust fault detection filter design problem for uncertain linear time-invariant (LTI) systems with both unknown inputs and modelling errors is studied. The basic idea of our study is to use an optimal residual generator (assuming no modelling errors) as the reference residual model of the robust fault detection filter design for uncertain LTI systems with modelling errors and, based on it, to formulate the robust fault detection filter design as an H_∞ model-matching problem. By using some recent results of H_∞ optimization, a solution of the optimization problem is then presented via a linear matrix inequality (LMI) formulation. The main results include the development of an optimal reference residual model, the formulation of robust fault detection filter design problem, the derivation of a sufficient condition for the existence of a robust fault detection filter and a construction of it based on the LMI solution parameters, the determination of adaptive threshold for fault detection. An illustrative design example is employed to demonstrate the effectiveness of the proposed approach.     

Temporal logic motion planning for dynamic robots

In this paper, we address the temporal logic motion planning problem for mobile robots that are modeled by second order dynamics. Temporal logic specifications can capture the usual control specifications such as reachability and invariance as well as more complex specifications like sequencing and obstacle avoidance. Our approach consists of three basic steps. First, we design a control law that enables the dynamic model to track a simpler kinematic model with a globally bounded error. Second, we built a robust temporal logic specification that takes into account the tracking errors of the first step. Finally, we solve the new robust temporal logic path planning problem for the kinematic model using automata theory and simple local vector fields. The resulting continuous time trajectory is provably guaranteed to satisfy the initial user specification.     

Stochastic algorithms for robustness of control performances

In recent years, there has been a growing interest in developing statistical learning methods to provide approximate solutions to “difficult” control problems. In particular, randomized algorithms have become a very popular tool used for stability and performance analysis as well as for design of control systems. However, as randomized algorithms provide an efficient solution procedure to the “intractable” problems, stochastic methods bring closer to understanding the properties of the real systems. The topic of this paper is the use of stochastic methods in order to solve the problem of control robustness: the case of parametric stochastic uncertainty is considered. Necessary concepts regarding stochastic control theory and stochastic differential equations are introduced. Then a convergence analysis is provided by means of the Chernoff bounds, which guarantees robustness in mean and in probability. As an illustration, the robustness of control performances of example control systems is computed.     

渐近跟踪鲁棒控制的混沌同步

对混沌系统同步控制中的控制器进行了研究,因其实际应用受限大等因素而要求系统具有较好的鲁棒性.把渐近跟踪作为系统同步的推广,从控制方法的角度设计一个混沌同步控制器,运用极点配置法求出控制器的增益参数并从控制理论上证明了该思路的可行性.通过对Lorenz系统的数值仿真试验,验证了该方法在控制混沌同步方面的有效性.为混沌控制中设计耐受性高的控制器提供了依据.     

双层模糊系统融合中心约束型最小包含球

与传统的TSK模糊系统相比,改进的双层TSK模糊系统CTSK(Central TSK Fuzzy System)有如下优点:良好的可解释性、更好的鲁棒性、较强的逼近能力。但对于大样本或超大样本数据集,其时间复杂度和空间复杂度的开销都极大地限制了它的实用性。针对此不足,通过模糊系统融合中心约束型最小包含球(CCMEB)理论提出了CCMEB-CTSK(CCMEB-based CTSK)算法。该算法在继承CTSK优点的同时,又较好地实现了处理大样本和超大样本数据集的有效性和快速性。仿真实验研究分析了采用不同模糊规则数的CCMEB-CTSK的性能指标和运行时间的比较,以及训练样本不加噪声和加入噪声情况下CCMEB-CTSK泛化能力和鲁棒性能的测试。     

多水印技术在软件版权管理中的应用研究

为增强软件水印的鲁棒性,将图像“多水印”思想引入到软件中,并给出软件多水印定义,分析联合方式,给出 模型及优化方法。在此基础上,提出一种基于多水印的软件版权保护模型,并对原有的算法进行改进,解决有意义软 件水印的预处理问题、指纹的动态混淆嵌入及交互防篡改检测问题,提高软件水印的鲁棒性。实验表明,该模型在防 止静态分析、动态跟踪、反逆向工程以及保护水印和软件的完整性方面具有较好的性能。