特征分析及提取是目标分类识别的重要环节。首先应用非线性分析方法分析了舰船噪声的极限环现象，结果表明振动噪声作为舰船噪声的主要成份，其极限环在相空间上存在倍周期或混沌行为。其次，利用分形维数和分布密度比来描绘舰船噪声在相平面上极限环的奇异性和空间形状，并给出了一种新的分维数计算算法。最后，以此作为舰船目标的特征参数送入神经网络分类器用于分类识别水面和水下两大类目标。实验结果表明，从噪声极限环中提取的非线性特征能较准确地区分我们现有的水面和水下两大类目标。为舰船噪声信号的特征提取提供了一条新的思路。

提出了一种新的基于有源阻抗匹配的信号传输方法，这种方法能够保证整个力反射遥控机器人系统在时延下的无源稳定性和良好的透明性。分析可知原有的两种无源信号传输方法只是这种新方法的两种特例。实验结果表明了该方法的有效性。

Telerobotics, the body of science and technology which bridge lannan control and purely autonomous machi-nes, is expected to be a merging point of modern develop-ments in robotics, control theory, cognitive science and computer science. Telerobot helps human operator feel and control the temote pre-unknoum environment as if he/she is at the temote site, which is usually called" telepresence". However, the transmission time delay be-tween master manipulator and slave manipulator causes in-stability of the telerobot sysem and bad" telepresence" of human operator. In this paper, a new adaptive and pas-sive control scheme based on active impedance matching is proposed to quqrantee stability and transparency of the bi-lateral telerobot system. An adaptive impedance term which is active and should adapt to the impedance of envi-toninent is defined in this new control scheme. A genetic algorithm (GA) is used to directly ulentify parameters of the environment impedance, because the GA can suc-cess in the search for global. optinaan when the search space is not differentiable or linear in the parameters. The tesults of experiment show that.

提出了一种用进化规划来设计和训练Kohonen网络的新方法，能够自动地确定网络的最优结构和联结权重。并将该网络用于被动声纳目标的聚类分析，实验结果表明基于进化规划的Kohonen网络能够有效地克服被动声呐目标信号的类间混叠现象。