In this paper, the leader-following consensus of multi-agent systems (MASs) under denial-of-service (DoS) attacks over undirected networks is studies. First, introduce an estimator under DoS attacks to design a dynami...
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Lane change recognition is essential for intelligent transportation systems and autonomous driving. This study presents a novel method leveraging scene data from natural driving datasets to enhance lane change recogni...
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Silicone rubber insulators always work at high altitude regions with strong UV -B radiation, which degrades the silicone rubber materials and threatens the safe operation of insulators. Therefore, this study conducted...
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DC microgrids are increasingly being applied in current power systems while droop control is often used for its control. Adding droop control to the voltage and current dual closed-loop control can achieve primary cur...
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Accurate identification of users within the low-voltage distribution area directly impacts grid loss calculations, fault detection, and electricity supply safety. With the rise of smart grid technology and the increas...
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This article aims to the global consensus problem of high-order multi-agent systems with actuator saturation and communication *** them,all agents are described by discrete-time ***,in order to compensate for the comm...
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ISBN:
(数字)9789887581536
ISBN:
(纸本)9781665482561
This article aims to the global consensus problem of high-order multi-agent systems with actuator saturation and communication *** them,all agents are described by discrete-time ***,in order to compensate for the communication delay,a networked predictive control method is adopted and a predictive-based control protocol is ***,for the neutrally stable agent model,leader-following situation is considered,and it is proved that,under a fixed communication topology,adopting the prediction-based control protocol can make the multi-agent systems realize global consensus under actuator saturation and communication ***,the results are illustrated a numerical simulation.
When multi-legged robots work in dangerous and complex environments,their legs are easily damaged,resulting in a sharp decline in their movement ability,or even completely out of *** this paper,the gait generation met...
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ISBN:
(数字)9789887581536
ISBN:
(纸本)9781665482561
When multi-legged robots work in dangerous and complex environments,their legs are easily damaged,resulting in a sharp decline in their movement ability,or even completely out of *** this paper,the gait generation method combined deep reinforcement learning with bionic gait restrictions is presented for multi-legged robots with injured *** this study,we first built an ant gait video acquisition platform using the Camponotus Japonicus as the research object,and on this basis established a gait dataset of injured ***,the gait characteristics of ants in the injured state were ***,our proposed gait generation method combining bionic gait constraints with deep reinforcement learning was compared with the reinforcement-learning-based method in the MATLAB simulation *** test results show that the training reward values of our proposed algorithm are 1-2 times higher than those of the reinforcement learning method alone,and at the same time,the moving speed of the injured robot is also nearly twice as fast.
Motivated by the development of artificial intelligence, data-driven fault diagnosis for analogue circuits has become popular. Data-driven methods commonly include two stages: the feature extraction stage and the faul...
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The two-wheeled bicycle robot (TWBR) is a new intelligent transportation, which can be used for special tasks such as forest operation and disaster relief. Although the TWBR is not structurally complex, the dynamics a...
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In the context of the close integration of artificial intelligence and sports, the precise measurement and intelligent coach-free scientific guidance remain one of the hotly debated topics. However, most current techn...
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