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参加国际会议ICIRT汇报

来源: 点击: 时间: 2018年12月19日 10:56

会议名称:IEEE- ICIRT 2018

全称:IEEE国际智能轨道交通会议(IEEE International Conference on Intelligent Rail Transportation)

报告时间:2018年12月19日(星期三)下午2:00

报告地点:民主楼316-2

报告人:向彭

报告题目:Distributed constrained consensus of multi-vehicle systems with external disturbances

报告摘要:In this paper, the nonconvex constrained consensus problem for a second-order multi-vehicle system with external disturbances is addressed by proposing a distributed control algorithm based on local information. First, the initial closed-loop system is turned into a reduced-order system which is convenient for the subsequent calculation. In the presence of external disturbances, it is proved that the nonconvex constrained consensus can be achieved if the presented sufficient condition is satisfied.

报告人:段萌萌

报告题目:Constrained Consensus of Multiple Autonomous Vehicles with Nonconvex Constraints

报告摘要:

In this paper, we investigate the consensus problem for multiple autonomous vehicles with nonconvex constraints.We propose a distributed control algorithm and prove that consensus can be reached if the communication network jointly has a spanning

tree. The analysis approach is based on the model transformation and the properties of the Metzler matrix and the

stochastic matrix.

报告人:黄毅

报告题目:Distributed constrained cooperative control of discrete-time high-speed train systems

报告摘要:Abstract—In this paper, we study a cooperative control problem for discrete-time high-speed train nonlinear systems with states constraints in the presence of incomplete exactly known parameters. A distributed nonlinear control algorithm is adopted to enable all trains to converge to a position and also to keep a safe distance from its neighbours by using local communication. Based on Linearization technique, multiple model transformation technique and convex analysis technique, the original nonlinear system is turned into a linear time-varying system for analysis. Finally, the lower bound of each effective element of the system matrix is given to guarantee the convergence of the system.


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