Shortest Path Routing Algorithm Based on Chaotic Neural Network

A shortest path routing algorithm based on transient chaotic neural network is proposed in this paper. Gam-pared with previous models adopting Hopfield neural network, this algorithm has a higher ability to overcome the local minimum, and achieves a better performance. By introducing a special post-processing technique for the output matrixes, our algorithm can obtain an optimal solution with a high probability even for the paths that need more hops in large-size networks.     

Passive Target Tracking Based on Current Statistical Model

Bearing-only passive tracking is regarded as a nonlinear hard tracking problem. There are still no completely good solutions to this problem until now. Based on current statistical model, the novel solution to this problem utilizing particle filter （PF） and the unscented Kalman filter （UKF） is proposed. The new solution adopts data fusion from two observers to increase the observability of passive tracking. It applies the residual resampling step to reduce the degeneracy of PF and it introduces the Markov Chain Monte Carlo methods （MCMC） to reduce the effect of the “sample impoverish”. Based on current statistical model, the EKF, the UKF and particle filter with various proposal distributions are compared in the passive tracking experiments with two observers. The simulation results demonstrate the good performance of the proposed new filtering methods with the novel techniques.     

一种基于全局优化的Internet拥塞控制算法

与传统的基于经验的Internet拥塞控制算法不同，根据广域网络的数学模型，将拥塞控制转化约束非线性规划的全局优化问题，并由此依据凸优化问题的解决方法，设计了满足收敛，稳定和公平性条件的速率迭代算法；依据网络层显示拥塞指示技术的支持，将速率迭代算法分为源端和路由路两部分，从而使该算法可以在IP网络中实现，仿真结果表明了该算法的有效性。     

基于代价函数的盲分离在线白化算法

针对盲信号分离的白化预处理过程，提出了一种基于代价函数的在线白化算法．该算法利用一类代价函数的极值点特性，采用递归计算的方式获得信号的白化矩阵．与传统的白化算法相比，本算法计算量低、利用样本少，因此可适用于信号的在线预白化处理．仿真试验表明，本算法收敛速度快，白化效果理想，为进一步的研究在线盲分离提供了良好的基础．     

Imprecise Computation Based Real-time Fault Tolerant implementation for Model Predictive Control

Model predictive control （MPC） could not be deployed in real-time control systems for its computation time is not well defined. A real-time fault tolerant implementation algorithm based on imprecise computation is proposed for MPC, according to the solving process of quadratic programming （QP） problem. In this algorithm, system stability is guaranteed even when computation resource is not enough to finish optimization completely. By this kind of graceful degradation, the behavior of real-time control systems is still predictable and determinate. The algorithm is demonstrated by experiments on servomotor, and the simulation results show its effectiveness.     

基于支持向量机的机械传动方案决策模型

分析了机械传动系统的特点和方案选择的要求,给出了机械传动系统特征因素的模糊量化方法．在此基础上,通过对系统特征因素集和决策方案非线性关系的辨识,建立了基于支持向量机的一对一判别策略的机械传动方案决策模型．仿真实例验证了利用支持向量机建立其决策模型的可行性和实用性．     

混合动态系统的模糊接口设计

利用模糊逻辑控制的思想,给出了混合系统的模糊接口设计.该接口通过其内部参数的学习把连续状态空间划分成多个子空间,使受控对象的非线性系统在每个子空间内可由一基于模糊逻辑的线性模型逼近,从而简化了对象模型和设计任务.当连续状态穿越空间边界时,则由上层离散事件控制器进行模式切换,从而使系统以稳定安全的方式运行.     

超声波检测系统中电磁干扰模型仿真与分析

超声波无损检测系统中PWM放大器所产生的电磁噪声严重影响信号的分析和读取,本文采用理论分析和仿真实验得出了一种抑制干扰,提高信噪比的可行方法,并在实际应用中取得良好效果.     

一般非线性离散系统的闭环迭代学习控制研究

通过对开环迭代学习控制的不足进行分析,提出了基于当前输出误差的闭环P型迭代学习控制律,针对一般非线性离散系统,给出了学习控制的收敛条件。仿真结果表明,简单的闭环P型迭代学习控制即能使非线性系统实现对期望轨线的无差跟踪。     

MIDI音乐系统在视唱练耳音乐教学中的应用

科学与艺术是在互动中产生与发展的,从古至今,每一次科学的进步都推动着历史的前进步伐,推动着艺术的完善与发展,推动着人类的文明与进步,多彩的MIDI音乐正是科学的进步带给我们的丰硕成果。21世纪的今天,电子计算机技术的飞速发展,它正在作为一种高效的多媒体应用平台,渗透在人类生活的每一个角落。在音乐艺术与音乐教育领域中更是不断拓展着它的应用空间,影响着传统的音乐教学、音乐生产、音乐创作