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Yazhi Liu, Dongyu Wei, Chunyang Zhang and Wei Li
In QoE fairness optimization of multiple video streams, a distributed video stream fairness scheduling strategy based on federated deep reinforcement learning is designed to address the problem of low bandwidth utilization due to unfair bandwidth allocat...
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Yanyan Fan, Zhenlin Jin, Xiaoyuan Luo, Shaobao Li and Baosu Guo
In this paper, we study the finite-time formation control problem of uncertain nonholonomic mobile robots following a parameterized path. A path-guided formation control scheme based on an extended state observer is proposed. To compensate for unmeasured...
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Mingkun Guo, Guangqing Xia, Feng Yang, Cong Liu, Kai Liu and Jingnan Yang
This paper studies a cooperative encirclement interception guidance law against a maneuvering target that utilizes a leader?follower control scheme. The control design is decoupled into two parts. In the line-of-sight (LOS) direction, a fixed-time distri...
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Lopamudra Hota, Biraja Prasad Nayak, Arun Kumar, G. G. Md. Nawaz Ali and Peter Han Joo Chong
Traffic density around the globe is increasing on a day-to-day basis, resulting in more accidents, congestion, and pollution. The dynamic vehicular environment induces challenges in designing an efficient and reliable protocol for communication. Timely d...
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Rodrigo Verschae, Takekazu Kato and Takashi Matsuyama
The introduction of uncontrollable renewable energy is having a positive impact on our health, the climate, and the economy, but it is also pushing the limits of the power system. The main reason for this is that, in any power system, the generation and ...
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Yoshio Suga and Kazumasa Takami
This paper concerns a service in which multiple guide robots in an area display arrows to guide individual users to their destinations. It proposes a method of identifying malfunctioning robots and robots that give wrong directions to users. In this meth...
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