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101.
近年来,模型预测控制(Model predictive control,MPC)的理论和技术得到了长足发展,随着线性系统模型预测控制的大量成功应用,基于非线性模型的预测控制简称非线性预测控制(NMPC)引起了广泛关注,并取得了丰富的研究成果。文章基于非线性模型预测控制的基本原理,对目前该领域的热点问题和取得的成果进行了综述,指出了研究不确定系统和时滞系统的非线性模型预测控制对进一步发展预测控制理论和拓宽其应用范围的意义。 相似文献
102.
A fuzzy robust nonlinear controller for hydraulic rotary actuators in flight motion simulators is proposed. Compared with other three-order models of hydraulic rotary actuators, the proposed controller based on first-order nonlinear model is more easily applied in practice, whose control law is relatively simple. It not only does not need high-order derivative of desired command,but also does not require the feedback signals of velocity, acceleration and jerk of hydraulic rotary actuators. Another advantage is that it does not rely on any information of friction, inertia force and external disturbing force/torque, which are always difficult to resolve in flight motion simulators. Due to the special composite vane seals of rectangular cross-section and goalpost shape used in hydraulic rotary actuators, the leakage model is more complicated than that of traditional linear hydraulic cylinders. Adaptive multi-input single-output(MISO) fuzzy compensators are introduced to estimate nonlinear uncertain functions about leakage and bulk modulus. Meanwhile, the decomposition of the uncertainties is used to reduce the total number of fuzzy rules. Different from other adaptive fuzzy compensators, a discontinuous projection mapping is employed to guarantee the estimation process to be bounded. Furthermore, with a sufficient number of fuzzy rules, the controller theoretically can guarantee asymptotic tracking performance in the presence of the above uncertainties, which is very important for high-accuracy tracking control of flight motion simulators.Comparative experimental results demonstrate the effectiveness of the proposed algorithm, which can guarantee transient performance and better final accurate tracking in the presence of uncertain nonlinearities and parametric uncertainties. 相似文献
103.
This paper presents a novel optimization technique for an efficient multi-fidelity model building approach to reduce computational costs for handling aerodynamic shape optimization based on high-fidelity simulation models. The wing aerodynamic shape optimization problem is solved by dividing optimization into three steps—modeling 3D(high-fidelity) and 2D(lowfidelity) models, building global meta-models from prominent instead of all variables, and determining robust optimizing shape associated with tuning local meta-models. The adaptive robust design optimization aims to modify the shape optimization process. The sufficient infilling strategy—known as adaptive uniform infilling strategy—determines search space dimensions based on the last optimization results or initial point. Following this, 3D model simulations are used to tune local meta-models. Finally, the global optimization gradient-based method—Adaptive Filter Sequential Quadratic Programing(AFSQP) is utilized to search the neighborhood for a probable optimum point. The effectiveness of the proposed method is investigated by applying it, along with conventional optimization approach-based meta-models, to a Blended Wing Body(BWB) Unmanned Aerial Vehicle(UAV). The drag coefficient is defined as the objective function, which is subjected to minimum lift coefficient bounds and stability constraints. The simulation results indicate improvement in meta-model accuracy and reduction in computational time of the method introduced in this paper. 相似文献
104.
转子结构系统界面失效分析及稳健设计方法 总被引:1,自引:0,他引:1
针对结构非连续转子中连接界面接触状态变化引起界面力学特征改变,使转子系统动力特性不稳健的问题进行分析,并提出了一种界面接触状态的稳健设计方法。结果表明:该方法通过分析结构非连续转子系统中界面损伤失效的力学过程,对结构特征参数进行优化设计,降低界面力学特性对载荷环境的敏感度。以涡轮转子套齿连接为例进行优化设计得到,在加工装配误差所导致的应力极限情况下,最优解的接触应力水平更加远离应力约束边界,使带有连接界面的结构非连续转子系统的力学特性更加稳健,具有较好的工程应用价值。 相似文献
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提出一种渐近全局代理模型方法以提高稳健优化中的代理模型的精度.基本思路是连续成批地在样本空间的全局和局部均加入新样本点,不断提高代理模型的全局拟合精度.将基于渐近全局代理模型稳健优化方法应用于高亚声速翼型设计,结果表明不仅目标值阻力系数具有稳健性,对飞行条件的小幅度变化和制造误差不敏感,而且力矩系数的约束也具有稳健性. 相似文献
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110.
<正> 1.引言 Beard等提出的检测滤波器是一种基于模型的故障检测与识别(FDI)方法,然而,检测滤波器要求精确地已知系统的动力学方程 X=AX+Bu,Y=CX (1) 其中,X∈R~n,Y∈R~m,u∈R~r分别为系统状态输出和控制;A、B、C为具有相应维数已知常阵。由于系统的复杂性以及系统外界干扰的不确定性,获取系统精确的数学模型非常困难。因此要解决的基本问题即考虑下列不定系统的故障检测 相似文献