信息论坛第三十二场学术报告-pg电子游戏麻将胡了

 信息论坛第三十二场学术报告-pg电子游戏麻将胡了

信息论坛第三十二场学术报告

发布日期:2022-06-14 浏览次数:

报告时间:2022年6月15日(星期三)晚上19:00-20:30(线上)

#腾讯会议:189-801-571

报告题目:fault-tolerant formation tracking of heterogeneous nonlinear multi-agent systems with time-varying actuator faults

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  abstract: formation tracking of networked multi-agent systems has captured much attention in the control and engineering communities. the sensors, actuators and other components in multi-agent systems may suffer from various faults that result in the performance degradation or even instability. in thiswork, the problem setting not only enhances the investigated problem’s practical relevance and at the same time, it poses nontrivial design challenges of distributed control algorithms and convergence analysis. to solve this issue, a novel distributed control algorithm is developed by incorporating an estimation-based control framework together with nussbaum gain methods to guarantee asymptotic cooperative formation tracking of networked systems under unknown and dynamic faults.

    speaker: zhi feng received his ph.d. degree in electrical and electronic engineering from nanyang technological university, singapore, 2017. he was a research fellow at nanyang technological university from 2018 to 2020 and the wallenberg--ntu presidential postdoctoral fellow at nanyang technological university, 2020-2022. his research interests include distributed control, distributed optimization and security & resilience with applications to energy and robotic systems.

    he was a recipient of the best paper in automation award in the 14th ieee international conference on information and automation, 2017 and the finalist of the best paper award in the 7th ieee international conference on real-time computing and robotics, 2018. he served astheguest editor for international journal of robust and nonlinear control, and associate editor for contribution and invited sessions in the ieee international conference on control and automation (icca) and ieee international conference on control, automation, robotics and vision (icarv), 2018-2020.

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