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学术讲座:Event-Triggered Mean-Square Consensus Control for Time-Varying Stochastic Multi-Agent System With Sensor Saturations

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报告题目:Event-Triggered Mean-Square Consensus Control for Time-Varying Stochastic Multi-Agent System With Sensor Saturations

主讲人:马立丰 教授

时间:2019424 (周三)下午16:00-16:30

地点:勤园12号楼304室

主讲人简介:

马立丰,南京理工大学教授,南京理工大学智慧互联与智能控制研究所副所长,高动态定位导航授时与控制微系统研究中心副主任。2010年在南京理工大学获得博士学位,2015至2017年在英国伦敦国王学院从事博士后研究。累计发表学术论文40余篇,出版专著2部,申请或者授权国家发明专利多项。主持纵向课题多项:包括国家自然科学基金两项,省部级基础研究项目三项。主持或参与国防基础重点项目、国家科技重大专项、航天横向课题以及数个武器装备型号项目。目前担任三个sci期刊编委。获2011年江苏省优秀博士论文奖,获中国人民解放军总装备部军队科技进步二等奖一项。主要研究方向为:火力与指挥控制,非线性随机系统的分析与设计,传感器网络等。

内容摘要:

In this report, the consensus control problem is discussed for a class of discrete time-varying stochastic multi-agent system subject to sensor saturations. An event-based mechanism is adopted where each agent updates the control input signal only when the pre-specified triggering condition is violated. To reflect the time-varying manner and characterize the transient consensus behavior, a new index for mean-square consensus is put forward to quantify the deviation level from individual agent to the average value of all agents’ states. For a fixed network topology, the aim of the proposed problem is to design time-varying  outputfeedback controllers such that, at each time step, the mean-square consensus index of the closed-loop multi-agent system satisfies the pre-specified upper bound constraints subject to certain triggering mechanism. Both the existence conditions and the explicit expression of the desired controllers are established by resorting to the solutions to a set of recursive matrix inequalities. The applicability of the designed algorithm is demonstrated via certain numerical examples.

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