A recursive multiple model approach to noise identification

Correct knowledge of noise statistics is essential for an estimator or controller to have reliable performance. In practice, however, the noise statistics are unknown or not known perfectly and thus need to be identified. Previous work on noise identification is limited to stationary noise and noise with slowly varying statistics only. An approach is presented here that is valid for nonstationary noise with rapidly or slowly varying statistics as well as stationary noise. This approach is based on the estimation with multiple hybrid system models. As one of the most cost-effective estimation schemes for hybrid system, the interacting multiple model (IMM) algorithm is used in this approach. The IMM algorithm has two desirable properties: it is recursive and has fixed computational requirements per cycle. The proposed approach is evaluated via a number of representative examples by both Monte Carlo simulations and a nonsimulation technique of performance prediction developed by the authors recently. The application of the proposed approach to failure detection is also illustrated     

基于灰色系统预测直升机航迹的研究

 反直升机智能雷对直升机航迹的预测在作战中非常重要,但在数据非常有限的情况下,准确地预测又很困难。提出了用灰色系统理论解决直升机航迹预测问题,建立了灰色系统 GM预测模型和 n次累加残差模型并对GM预测模型进行修正。在每个采样期间内,实时在线建立GM预测模型和残差模型以提高预测精度。通过实例计算能看出用较少的探测数据可以得到较高的预测精度。     

大攻角非对称流动的非定常弱扰动控制

 研制了一种新的大攻角细长旋成体非对称涡的主动控制技术, 即在细长旋成体头部施加非定常弱扰动来控制头部非对称背涡。应用七孔探针测量的空间截面流场揭示了非定常控制下非对称涡变成对称涡的流态特征。测力试验研究结果表明该方法不仅能完全消除背涡的非对称性及其产生的侧向力, 并且有效控制攻角范围从30b直到80b。     

无人驾驶高空侦察机爬升控制方案分析

介绍了无人驾驶高空侦察机（ＵＡＶ）的爬升轨迹控制方案原理，对纵向控制回路进行了详细分析，按简单拉力法进行了飞行性能计算，同时还分析了爬升方案曲线与优化性能轨迹的关系，并对爬升轨迹计算和试飞遥测数据进行了比较。经分析计算与试飞结果表明，对于爬升较缓慢的飞机，本控制方案可实现沿优化性能轨迹上升，并自动转入有利速度巡航。     

一种新颖的瞬时浮点放大器

介绍了瞬时浮点放大器的原理及构成，并给出一种结构新的具有２５６阶的瞬时浮点放大器，可有效地提高数据采集系统的测量范围。     

六喷管超音速引射器性能的理论分析和实验研究

对某一定尺寸的六喷管超音速引射器进行气动性能的实验研究。结果表明：随着主次流压比Ｐ＊ｐ／Ｐ＊ｓ增加，引射系数及修正引射系数下降；当引射系数增加时，混合管动量修正系数Ｋｍ下降，但主喷管流量系数μ变化不大。对上述工况进行理论计算的结果与实验数据符合良好。     

室温贮存对树脂粘度和加压点的影响

讨论了５４０５改性双马来酰亚胺树脂基体在室温下，贮存时间对粘度以及对固化过程中加压点的影响，给出了相应的计算方法。     

Tracking in clutter with nearest neighbor filters: analysis andperformance

The measurement that is “closest” to the predicted target measurement is known as the “nearest neighbor” (NN) measurement in tracking. A common method currently in wide use for tracking in clutter is the so-called NN filter, which uses only the NN measurement as if it were the true one. The purpose of this work is two fold. First, the following theoretical results are derived: the a priori probabilities of all three data association events (updates with correct measurement, with incorrect measurement, and no update), the probability density functions (pdfs) of the NN measurement conditioned on the association events, and the one-step-ahead prediction of the matrix mean square error (MSE) conditioned on the association events. Secondly, a technique for prediction without recourse to expensive Monte Carlo simulations of the performance of tracking in clutter with the NN filter is presented. It can quantify the dynamic process of tracking divergence as well as the steady-state performance. The technique is a new development along the line of the recently developed general approach to the performance prediction of algorithm with both continuous and discrete uncertainties     

基于Riccati方程的离散容错控制系统设计

基于离散系统的Ｒｉｃｃａｔｉ方程，提出一种对传感器失效具有完整性的离散控制系统的设计方法，给出了完整性设计方法的设计步骤，并用设计实例验证了该方法的有效性．该方法还可推广用于执行器失效的情况．     

一种新的二维最大熵图象阈值分割方法

根据最大熵原理提出了一种用二维最大熵获取二值图象的新方法，介绍了用梯度－区域灰度均值二维最大熵求取阈值的原理和过程。计算机仿真结果表明，采用本文提出的阈值分割方法，对于直方图平坦的灰度图象处理效果尤为理想。