Today the persistence of plant and plant diseases is a substantial problem for cultivators, disease diagnosis is important in the farm. To preserve the production of crops, adequate consideration is a must. To isolate...
详细信息
Improvements in aircraft detection are necessary to improve surveillance. This work investigates the exact detection and classification of airplanes using YOLOv8 in conjunction with Synthetic Aperture Radar (SAR) phot...
详细信息
This paper focuses on the optimal output synchronization control problem of heterogeneous multiagent systems(HMASs) subject to nonidentical communication delays by a reinforcement learning *** with existing studies as...
详细信息
This paper focuses on the optimal output synchronization control problem of heterogeneous multiagent systems(HMASs) subject to nonidentical communication delays by a reinforcement learning *** with existing studies assuming that the precise model of the leader is globally or distributively accessible to all or some of the followers, the leader's precise dynamical model is entirely inaccessible to all the followers in this paper. A data-based learning algorithm is first proposed to reconstruct the leader's unknown system matrix online. A distributed predictor subject to communication delays is further devised to estimate the leader's state, where interaction delays are allowed to be nonidentical. Then, a learning-based local controller, together with a discounted performance function, is projected to reach the optimal output synchronization. Bellman equations and game algebraic Riccati equations are constructed to learn the optimal solution by developing a model-based reinforcement learning(RL) algorithm online without solving regulator equations, which is followed by a model-free off-policy RL algorithm to relax the requirement of all agents' dynamics faced by the model-based RL algorithm. The optimal tracking control of HMASs subject to unknown leader dynamics and communication delays is shown to be solvable under the proposed RL algorithms. Finally, the effectiveness of theoretical analysis is verified by numerical simulations.
Automated Multiple-Choice Question (MCQ) generation is a rapidly growing field in Natural Language Processing (NLP) that aims to assist educators and trainers in creating high-quality, efficient, and effective assessm...
详细信息
In the current scenario, recognizing various objects and tracking their movements in the real-time surveillance footage is the most difficult task. To detect objects, a combination of image processing and computer vis...
详细信息
Speech is one of the most fundamental and essential forms of human communication. Humans and computers interact through what is known as a human–computer interface. Speech can be used to communicate with the computer...
详细信息
One of the primary factors for adult blindness is macular degeneration brought on by advancing age (AMD). This condition may reduce sharp vision in the macula, which is the middle part of the retina. Although AMD is r...
详细信息
Smart cities are implementing web-based systems to improve the living conditions of their inhabitants. One such solution is the implementation of an efficient and eco-friendly garbage management system. Currently, gar...
详细信息
The high trend in the adoption of online banking makes complex load balancing highly crucial to maximize computing capacity in the cloud, data management, and security. This research focuses on analyzing the Source IP...
详细信息
Social networks (SNs) are becoming more essential news providers. Online users' connections propagate information faster than conventional news channels like newspapers and TV. However, they also facilitate the pr...
详细信息
暂无评论