基于三相幅度测量的相控阵天线快速校准方法

提出了一种基于三相幅度测量的相控阵天线快速校准方法。该方法将天线阵列进行分组,利用每种分组在三种配相下的阵面合成场幅度测量值,可解算出各个天线单元的初始幅相值。该方法仅需幅度测量,避免了相位测量误差影响单元幅相值的计算精度,而且所需幅度测量次数仅为(2N+1)次,可显著提高校准时效性。另外,利用分组思想,同时改变多个单元相位,使总辐射场的幅度变化显著,提升校准准确性。仿真结果表明:校准后相位均方根误差为2.2°,幅度均方根误差为0.2 dB。     

氮肥工业与21世纪的生物能源

介绍近年来美国生物能源的开发进展情况及其先进的支撑系统，提出如何使我国氮肥工业在发展我国生物能源中起促进作用。     

Stability analysis for discrete linear systems with state saturation by a saturation-dependent Lyapunov functional

This paper concerns the stability analysis problem of discrete linear systems with state saturation using a saturation-dependent Lyapunov functional.We introduce a free matrix characterized by the sum of the absolute value of each elements for each row less than 1,which makes the state with saturation constraint reside in a convex polyhedron.A saturation-dependent Lyapunov functional is then designed to obtain a sufficient condition for such systems to be globally asymptotically stable.Based on this stability criterion,the state feedback control law synthesis problem is also studied.The obtained results are formulated in terms of bilinear matrix inequalities that can be solved by the presented iterative linear matrix inequality algorithm.Two numerical examples are used to demonstrate the effectiveness of the proposed method.     

桥梁信息化及智能桥梁2020年度研究进展

以信息化、智能化为特征的数字化时代的到来推动了桥梁工程技术的发展与创新,有必要将云计算、大数据、人工智能、3D打印、机器人等战略性新兴产业技术与桥梁工程相融合,从智能设计、智能施工、智能运维等多个维度,推进桥梁工业化、数字化、智能化升级。本文从桥梁信息化、智能检测与安全运维、智能防灾减灾、智能材料等方面,综述了2020年该领域前沿技术和重要成果,总结了研究热点与前景展望。分析表明：BIM技术可以提升桥梁正向设计精细化水平、施工过程控制和管理准确化程度;无人机、机器人等智能检测技术与机器学习、卷积神经网络等人工智能技术提高了桥梁检测的精度和效率;高性能智能材料的应用促进了桥梁结构的自感知性、自适应性、自调节性和自诊断性;基于人工智能的自然灾害监测与预警为桥梁智能防灾减灾提供了新的发展思路。未来应将人工智能技术深度融合桥梁设计、建造和养护的全生命周期,顺应信息化、智能化的发展趋势,实现桥梁强国梦。     

2000年化肥工业发展的几个问题

本文分析预测了我国２０００年的化肥需求量和世界化肥市场价格及其对我国化肥发展的影响。     

碳中和及碳达峰背景下石化企业用能趋势分析

低碳绿色发展已经成了全世界的共识,我国新能源发展迅速,石化企业也迎来了生产用能转型升级的契机.介绍了石化企业用能特点,概述了石化热电机组面临的退役及转型压力.在石化供用能升级路径上,油田企业可采用能源互联技术,炼化企业可采用智慧能源技术,注重节能"第五能源"的开发利用,提高石化企业能源利用效率.     

工业PTA氧化过程4-CBA浓度的模糊神经网络模型

A fuzzy neural network (FNN) model is developed to predict the 4-CBA concentration of the oxidation unit in purified terephthalic acid process. Several technologies are used to deal with the process data before modeling.First,a set of preliminary input variables is selected according to prior knowledge and experience. Secondly,a method based on the maximum correlation coefficient is proposed to detect the dead time between the process variables and response variables. Finally, the fuzzy curve method is used to reduce the unimportant input variables.The simulation results based on industrial data show that the relative error range of the FNN model is narrower than that of the American Oil Company (AMOCO) model. Furthermore, the FNN model can predict the trend of the 4-CBA concentration more accurately.     

On Designing Time‐delay Feedback Controller for Master‐Slave Synchronization of Lur'e Systems

This paper is concerned with the problem of designing a time‐delay output feedback controller for master‐slave synchronization of Lur'e systems. The time delay is divided into two intervals and different energy functions are defined in each interval, which together provide a new Lyapunov–Krasovskii functional and derive a new delay‐dependent synchronization criterion. A sufficient condition for the existence of such a feedback controller is given, and an explicit expression of such a controller is also achieved. These algorithms are formulated in terms of linear matrix inequalities that can be solved easily. Chua's circuit is used to illustrate the effectiveness of the design method.     

A New Robust Adaptive Control of Uncertain Nonlinear Systems and Pendulum Application

A new robust adaptive control of uncertain nonlinear systems is proposed in this paper. The proposed method combines sliding mode control with the immersion and invariance (I&I) adaptive scheme, and it has more available degrees of freedom than using the backstepping scheme. Via the proposed method, a class of nonlinear systems with mismatched parametric perturbations can be rendered asymptotically stable and the performance of the system can also be improved. Finally, the proposed method is applied to a simple pendulum with motor dynamics, and simulation results show the effectiveness and performance of the proposed method.     

足球动态传球网络的可视化

足球传球网络分析对提高球队的进攻效率起着重要作用.然而,大多数现有工作都将传球网络视为静态网络,忽略了比赛过程中传球的时空演变.该工作通过与领域专家的深入访谈总结了动态传球网络分析的重要任务,并提出了一个交互式可视分析系统支持对传球网络的时空动态性进行全面分析.该系统应用了基于图标的可视化方法和投影技术,以呈现不同时间下的传球网络拓扑结构和传球空间上下文信息.该系统可以辅助用户发现传球网络结构和传球所在的空间位置在时间上的变化模式以及两者之间的关联,并根据传球网络动态性对比赛过程进行更深入的解读,发现有价值的传球网络变化策略.通过案例分析和专家访谈,验证了该系统在分析传球网络动态性的可用性和有效性.