ID	原文	译文
54847	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.
54848	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.
54849	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.
54850	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.
54851	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.
54852	仿真实验表明了所提方法的有效性。	Simulation results show the effectiveness of the proposed method.
54853	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.
54854	建立了包括死区、齿隙和"类齿隙"磁滞特征的非线性执行器模型。	Including the dead zone, backlash and "kind of backlash hysteresis characteristics of nonlinear model of the actuator.
54855	通过结合所建立的模型和Nussbaum增益技术,解决了当执行器非线性不确定时的控制问题。	By combining the established model and Nussbaum gain technology, fixed actuator control problem of nonlinear uncertain.
54856	所设计的方案不需知道非线性特征参数边界,并且当非线性特征为死区时,其坡度可以为时变的。	The designed scheme does not need to know the characteristic parameters of nonlinear boundary, and when the nonlinear characteristics of dead zone, the slope can be time-varying.