Collective composite-rotating consensus of multi-agent systems

This paper investigates a distributed composite-rotating consensus problem of second-order multi-agent systems, where all agents move in a nested circular orbit. A distributed control law is proposed which contains two parts： the local state feedback that guarantees the circular motion and the distributed relative state feedback that guarantees the consensus of all agents. A sufficient condition is derived to drive all agents as well as ensure their circle centers make circular motion in a distributed manner. Finally, a numerical simulation is included to demonstrate our theoretical results.     

基于RBF神经网络的超导风力发电系统变速控制研究

超导同步发电机(SCSG)以其功率密度大,重量轻,体积小,寿命长的特点,已经被用来研究超大型海上风力发电机组.文章首先介绍了一种将高温超导材料应用于大型风力发电机组的技术,分析了高温超导发电机的结构和特点,基于FAST和Matlab/Simulink软件平台搭建SCSG风力发电机组的数学模型和速度控制模块,其次针对SCSG模型存在高阶,非线性时变的特性,在速度控制环中引入了基于Delta学习规则的单神经元自适应PID控制算法,其中RBF网络用于控制参数的辨识整定.模拟实验结果表明,相对于传统PID控制,该算法可以使SCSG速度更好地跟踪风速,保持稳定的最佳叶尖速比和最大功率系数,从而实现最大风能利用.     

智能群体环绕运动控制

自然界中,鸟类迁徙、鱼类群游等群体智能运动具有一定的规律.例如,鸟类迁徙以领导者和跟随者模式的直线运动为主,鱼类中以环绕运动为主.自然界的这种群体直线运动与环绕运动具有十分重要的理论研究价值和广泛的工程应用前景.本文针对群体环绕运动进行研究,考虑个体只能获取局部目标信息这一特性,设计均值估计器进行群体目标状态估计,建立环绕运动算法,确保实现群体圆形编队且保持队形.通过李雅普诺夫理论分析,证明每个个体在有限时间内能获取所有目标平均位置信息,且能基于群体圆形编队队形进行目标环绕和追踪,队形随目标状态变化.有关结果通过仿真得到进一步验证.     

Automatic surveillance system using fish-eye lens camera

This letter presents an automatic surveillance system using fish-eye lens camera. Our system achieves wide-area automatic surveillance without a dead angle using only one camera. We propose a new human detection method to select the most adaptive classifier based on the locations of the human candidates. Human regions are detected from the fish-eye image effectively and are corrected for perspective versions. An experiment is performed on indoor video sequences with different illumination and crowded conditions, with results demonstrating the efficiency of our algorithm.