报告时间: 10月28日上午9:50-10:50
报告地点: 8教306教室

报告题目: Synchronization and stability in networked systems via structured-trigger, and event-trigger and self-trigger principles

报告内容简介:
  In comparison to continuously and fixed-rate sampling law, event-based control laws may reduce the computation and/or communication loads in coupled systems with maintaining the performance, which proved that these principles may be suitable for distributed control of complex networked system.
  In this talk, I shall present some results on control problems of coupled networked systems by event-based principles. The event-based laws that we consider include structured-trigger, which implies that the trigger principles are determined by the configuration of the system, event-trigger, which implies that the principles are determined by the instantaneous observations of the system states, and self-trigger, which means that the principles are based on prediction of systems states. The problems of synchronization of coupled dynamical systems, consensus of networked agent systems and stability of recurrent neural networks are investigated in this talk as illustrations.

报告人简介: 卢文联教授在2000年和2005年分别获得复旦大学数学系本科和博士学位，其博士论文获全国百篇优秀博士论文。他在2005年至2007年是德国马普数学所的博士后；其后在2012年至2014年，他在英国华威大学计算机系担任欧盟玛丽居里研究员。他目前是复杂大学数学科学学院教授。他的研究兴趣包括神经网络，计算系统生物学，非线性动力系统和复杂系统。卢文联教授自2013年担任IEEE汇刊IEEE Transactions on Neural Networks and Learning Systems的副编辑。自2010年起，他担任Neurocomputing的副编辑。