基于滑模自适应控制的不确定混沌系统修正函数投影同步

研究了一类不确定混沌系统的修正函数投影同步。首先,设计了一类滑模曲面;基于该曲面设计了同步控制器,并采用自适应技术设计了自适应律对不确定参数进行逼近。在一定条件下,该同步控制方案可以实现2个不确定异结构混沌系统的修正函数投影同步。然后,为保证合适的控制量,对控制增益进行了优化。从同步效果来看,所设计的控制器对混沌系统的不确定项的影响具有较强的鲁棒性。最后,数值仿真验证了该控制器的有效性和可行性。     

基于比例导引角度线性化的无人机避障研究

基于无人机与障碍物之间的几何关系,在极坐标系下建立了无人机与障碍物之间的运动学方程,通过引入基于角度线性化的比例导引律,使无人机能够顺利避开障碍物。引入的基于角度线性化的比例导引律是关于无人机相对速度航向角与避障点视线角的函数,由比例函数及偏差函数组成。为解决初始时刻相对速度航向角不满足引入导引律的问题,在调节函数中加入了指数项。通过稳定性证明,得到了满足要求的导引律参数取值范围。最后对设计的避障算法进行了仿真,仿真结果验证了算法的有效性。     

Design and Application of Discrete Sliding Mode Control with RBF Network-based Switching Law

This article proposes a novel approach combining exponential-reaching-law-based equivalent control law with radial basis function (RBF) network-based switching law to strengthen the sliding mode control (SMC) tracking capacity for systems with uncertainties and disturbances. First, SMC discrete equivalent control law is designed on the basis of the nominal model of the system and the adaptive exponential reaching law, and subsequently, stability of the algorithm is analyzed. Second, RBF network is used to form the switching law in a direct and online manner with sliding-mode-related inputs and by approximating evaluation function; and the method to adjust its parameters is devised. Finally, comparable experiments are carried out to verify the application of the proposed approach to an inner-axis driven by a direct current (DC) torque motor through extra-low speed servo for a high precision flight simulator, and the axis works under deteriorating conditions such as periodically fluctuating torques of motor, nonlinear friction, and time-varying model parameters. The results show that the combined SMC can effectively improve the servo performance, for instance, to a stable 0.000 08 (°)/s speed response, the tracking error would be within 0.000 08° in 98% of operating times. Moreover, the hybrid nature of the approach imparts the RBF network the features of removing offline training and ease to set initial parameters.     

Using the radial basis function neural network to predict ionospheric critical frequency of F2 layer over Wuhan

Neural networks (NNs) have been applied to ionospheric predictions recently. This paper uses radial basis function neural network (RBF-NN) to forecast hourly values of the ionospheric F₂ layer critical frequency(f_oF₂), over Wuhan (30.5N, 114.3E), China. The false nearest neighbor method is used to determine the embedding dimension, and the principal component analysis (PCA) is used to reduce noise and dimension. The whole study is based on a sample of about 26,000 observations of f_oF₂ with 1-h time resolution, derived during the period from January 1981 to December 1983. The performance of RBF-NN is estimated by calculating the normalized root-mean-squared (NRMSE) error, and its results show that short-term predictions of f_oF₂ are improved.     

也谈"军事计量测量标准价值分析"

就价值分析的内涵和操作要点,以及价值分析在计量领域的应用等方面,对本刊曾发表过的"军事计量测量标准价值分析"一文中的某些提法和分析提出几点不同的看法.     

发挥心理健康教育在思想政治工作中的补偿功能

心理健康教育与思想政治教育都有各自的目的和任务。又不可避免地存在着关联。对两者关系的认识上，有两种偏差存在，即心理问题德育化和德育问题心理化，这对教育工作和学生全面发展都会产生不利影响。本文从两者关联性出发，重点探讨心理健康教育在思想政治工作中的作用和补偿功能，剖析了补偿功能存在的可能性以及补偿功能的具体表现。     

基于遗传算法的复杂多峰函数优化

从传统的搜索、优化方法入手，分析了遗传算法对复杂、多峰函数优化的有效性；简单介绍了遗传算法；并归纳出从优化问题转化到用遗传算法求解的转化思路；最后，通过对一个多峰函数优化的遗传算法求解，验证了此方法在全局优化、鲁棒性等方面的更有效性。     

模糊数学在考试成绩分析中的应用

本文将模糊集合理论应用于考试分析，提出了一种对考试成绩的总体分布进行估计的较合理、有效的方法。     

我国超精密加工廉价化对策

提出了通过降低设备造价等技术措施和集中应用等管理措施来实现超精密加工的廉价化，以适应我国高技术发展需要     

基于自适应Kalman滤波的改进PSO算法

针对基于Kalman滤波的PSO算法在设计与应用过程中存在的不足,提出了基于自适应Kalman滤波的改进PSO算法。利用粒子群状态空间Markov链模型,建立粒子群系统状态方程;采用粒子的速度和位置作为观测量,构建观测方程;引入记忆衰减因子动态调整Kalman滤波模型参数及噪声方差阵,降低模型误差,提高粒子的位置估计精度。仿真实验表明:改进的PSO算法无论在优化精度、收敛速度,还是在稳定性方面都有很大的改进和提高,这就有效避免了粒子的"早熟"收敛问题;尤其在处理复杂多峰问题上,改进算法表现出很明显的优越性。