再入飞行器弹道系数的自适应估计

运用Kalman滤波方法对再入飞行器的跟踪问题进行了分析,在动力学噪声已知的情况下,给出了一种弹道系数的自适应估计方法;在动力学噪声未知时,给出了弹道系数和动力学噪声方差的自适应估计方法。仿真算例表明这种方法是合理有效的。     

基于模糊时间序列的时变动态系统模糊建模

要想建立结构不确定、参数时变的动态系统的模型是很困难的。改进了Song Chisson的模糊时间序列方法,并成功应用于时变动态系统的辨识与建模和自适应控制。仿真结果表明该方法计算量小,实时性好,能很快地跟踪系统的变化。     

从卫星SAR海洋图像中检测船目标

船在卫星ＳＡＲ海洋图像中一般是以亮点的形式出现。本文先简要地介绍了船目标在卫星ＳＡＲ海洋图像中的成像原理，在此基础上介绍了三种检测船目标的方法——窗口滤波方法、自适应阈值法、概率密度函数法，并运用实际的卫星ＳＡＲ海洋图像对这三种算法进行了测试。测试结果表明，后两种方法效果比较好。     

单通道自适应有源消声系统

对单通道自适应有源消声系统进行了频域分析,对系统的有关特性进行了讨论,并分别在半消声室和普通房间进行了降噪实验。在误差传声器周围取得了一定的有效空间范围。     

同参数估计对偶的自适应控制新算法

把线性系统和非线性系统统一处理,从自适应控制算法与参数估计算法的对偶性出发,提出了自适应控制算法的一种新的统一格式,它改进了已有文献中控制算法的跟踪性能,并在未增加任何条件的情况下,仍然使控制误差一致足够小．     

自适应准则的舵减横摇控制系统的仿真研究

本文根据舵减横摇系统的模型结构及控制系统的各项要求,提出了自适应控制准则,借用人工智能和模糊控制思想,将操舵系统的限定、操纵者的要求和外界环境的变化归纳为加权阵的改变上,然后根据变化后的加权阵通过求解黎卡提方程得到最优控制量Ｕ＝－Ｋ＊Ｘ,以实现最优控制。作者在计算机上对该系统进行仿真试验,得到了令人满意的结论。     

简化的块变步长自适应算法

本文提出了一项特别适用于进行实时信号处理、可作为评估自适应算法性能的新指标——收敛时间。然后依据此指标,提出了一种简化的块变步长(SBVS)自适应算法,并导出了它的频域实现。计算机模拟结果表明,该算法在性能上优于BLMS 算法。     

自适应滤波算法的新进展

本文综述了自适应滤波算法研究的进展情况;指出了现有方法存在的问题。最后,对进一步研究的趋势提出了展望。     

Optimization of buckling load for laminated composite plates using adaptive Kriging-improved PSO: A novel hybrid intelligent method

An effective hybrid optimization method is proposed by integrating an adaptive Kriging (A-Kriging) into an improved partial swarm optimization algorithm (IPSO) to give a so-called A-Kriging-IPSO for maxi-mizing the buckling load of laminated composite plates (LCPs) under uniaxial and biaxial compressions. In this method, a novel iterative adaptive Kriging model, which is structured using two training sample sets as active and adaptive points, is utilized to directly predict the buckling load of the LCPs and to improve the efficiency of the optimization process. The active points are selected from the initial data set while the adaptive points are generated using the radial random-based convex samples. The cell-based smoothed discrete shear gap method (CS-DSG3) is employed to analyze the buckling behavior of the LCPs to provide the response of adaptive and input data sets. The buckling load of the LCPs is maximized by utilizing the IPSO algorithm. To demonstrate the efficiency and accuracy of the proposed methodology, the LCPs with different layers (2, 3, 4, and 10 layers), boundary conditions, aspect ratios and load patterns (biaxial and uniaxial loads) are investigated. The results obtained by proposed method are in good agreement with the literature results, but with less computational burden. By applying adaptive radial Kriging model, the accurate optimal results-based predictions of the buckling load are obtained for the studied LCPs.     

A cooperative interference resource allocation method based on improved firefly algorithm

To deal with the radio frequency threat posed by modern complex radar networks to aircraft, we researched the unmanned aerial vehicle (UAV) formations radar countermeasures, aiming at the solution of radar jamming resource allocation under system countermeasures. A jamming resource allocation method based on an improved firefly algorithm (FA) is proposed. Firstly, the comprehensive factors affecting the level of threat and interference efficiency of radiation source are quantified by a fuzzy comprehensive evaluation. Besides, the interference efficiency matrix and the objective function of the allocation model are determined to establish the interference resource allocation model. Finally, A mutation operator and an adaptive heuristic are integtated into the FA algorithm, which searches an interference resource allocation scheme. The simulation results show that the improved FA algorithm can compensate for the deficiencies of the FA algorithm. The improved FA algorithm provides a more sci-entific and reasonable decision-making plan for aircraft mission allocation and can effectively deal with the battlefield threats of the enemy radar network. Moreover, in terms of convergence accuracy and speed as well as algorithm stability, the improved FA algorithm is superior to the simulated annealing algorithm (SA), the niche genetic algorithm (NGA), the improved discrete cuckoo algorithm (IDCS), the mutant firefly algorithm (MFA), the cuckoo search and fireflies algorithm (CSFA), and the best neighbor firefly algorithm (BNFA).