ID 原文 译文
56078 首先在分析动态系统故障规律的基础上,给出了离散与连续双维度下的动态系统故障混杂传播的定义,分析了其混杂影响要素以及混杂传播特征;其次,为了完整准确描述混杂特征,借鉴混杂理论在描述离散事件与连续参数相互作用方面的优势,提出了基于随机混杂自动机(stochastic hybrid automata,SHA)的故障混杂传播建模方法;最后通过对某温度控制系统的故障混杂传播过程进行建模和仿真,验证了动态系统故障传播过程中的混杂特征,以及建模方法的可行性。 First on the analysis of the dynamic system failure pattern, on the basis of discrete and continuous is given under the dual dimensions of the definition of dynamic system fault mixed transmission, analyses its confounding factors and mixed propagation characteristics;Secondly, in order to complete and accurate description mixed characteristics of mixed theory in describing the discrete event interact with continuous parameter, was proposed based on random hybrid automata (stochastic hybrid automata, SHA) of mixed fault propagation modeling method;At last, through the mixed fault propagation process of a temperature control system modeling and simulation, to verify the dynamic system is mixed in the process of fault propagation characteristics, as well as the feasibility of modeling method.
56079 子带相参配准是多波段雷达数据融合技术首先要解决的问题,它直接关系到多波段数据融合的成败。 Subband coherent registration is multi-band radar data fusion technology to solve the problem in the first place, it is directly related to the success or failure of multiband data fusion.
56080 基于数据相关与基于Prony模型的方法在弱噪声的条件下能取得比较理想的相参配准结果,但在噪声较强的条件下配准误差较大。 Based on the data associated with the method based on Prony model under the condition of weak noise can obtain ideal coherent registration results, but under the condition of strong noise registration error is bigger.
56081 本文分析了线性相位和固定相位对一维像的影响,在此基础上利用累加一维像的图像熵,提出了依据最小熵准则和非线性最小二乘拟合获得高精度相位参数估计的方法。 This article analyzed the linear phase and stationary phase effect on one dimension like, on the basis of using the accumulation of one-dimensional like image entropy, proposed based on minimum entropy criterion and nonlinear least squares fitting to get high precision phase parameter estimation method.
56082 仿真实验表明,本文所提出的方法在低信噪比条件下的参数估计精度优于现有的方法。 Simulation experiments show that the presented method under the condition of low signal-to-noise ratio of parameters estimation precision is superior to existing methods.
56083 飞行器在全包络上表现出明显的气动参数不确定性,以某无人机纵向模型为研究对象,提出一种不确定参数在线估计的自适应观测器故障重构方法。 Aircraft in full envelope obvious aerodynamic parameter uncertainty, taking a uav longitudinal model as the research object, put forward a kind of uncertain parameters online adaptive observer fault reconstruction methods of estimation.
56084 首先,将系统状态方程描述为一类带时变参数的仿射非线性结构,在参数增广系统能观性分析基础上,采用增广容积卡尔曼滤波(augmented cubature Kalman filter,ACKF)算法实现气动参数在线估计,以克服鲁棒性死区故障检测方法的保守性,提高检测灵敏度。 First of all, will be described as a kind of system state equation with time-varying parameters of the affine nonlinear structure, the parameter based on augmented system can view analysis, the augmented volume Kalman filtering (augmented cubature Kalman filter, ACKF) pneumatic parameters on-line estimation algorithm, robustness to overcome the conservatism of the dead zone fault detection methods, improve the detection sensitivity.
56085 其次,将所估计参数用于自适应观测器设计,由于Lie导数分析方法保证了对象系统的能观性,故系统不必满足文献方法中的特定规范形式;在此基础上,给出了故障检测自适应阈值和故障参数调节律,并分析了估计误差的收敛性。 Secondly, the estimated parameters are used to the adaptive observer design, because the Lie derivative analysis method can ensure the object system view, so the system doesn't have to meet the specific literature methods canonical form;On this basis, the adaptive threshold is given fault detection and fault parameters to adjust law, and analyzed the estimation error convergence.
56086 仿真实验表明了所提方法的有效性。 Simulation results show the effectiveness of the proposed method.
56087 针对一类带不确定执行器非线性的控制系统,提出了一种自适应神经网络控制方法。 For nonlinear control systems with uncertain actuators, an adaptive neural network control method is proposed.