Microservice architecture has become a widely accepted solution to address the challenges, particularly scala-bility, deployment, and flexibility associated with monolithic architecture. A vital attribute of the micro...
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A paradigm shift in wireless communication is expected with the advent of 6G communications networks, which would need the development of innovative technologies for ultra-reliable, low-latency communication to suppor...
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This research study investigates the impact of parallel programming techniques on the performance of searching and sorting algorithms. Traditional sequential algorithms have been the foundation of data processing for ...
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This paper proposes a decentralized cooperative control for multi-reconfigurable manipulator (MRM) based on Adaptive Dynamic Programing (ADP). The control method can achieve both motion path tracking and control the f...
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ISBN:
(数字)9798331504755
ISBN:
(纸本)9798331504762
This paper proposes a decentralized cooperative control for multi-reconfigurable manipulator (MRM) based on Adaptive Dynamic Programing (ADP). The control method can achieve both motion path tracking and control the force between the manipulator and the controlled object. The dynamic model of reconfigurable manipulator and controlled object is established using the Newton-Euler algorithm and load distribution. When facing unknown terms in the model, radial basis function neural network (RBFNN) is used for approximation. By taking advantage of the ADP algorithm to obtain the optimal control strategy. The closed-loop MRM system is proved to be stable by using the Lyapunov theory. Finally, the effectiveness of the control method is verified through numerical simulation.
social media is useful in the community for sharing and discussing various events with others. The study's main objective is to predict the sign of the stock by sentimental analysis regarding the Hindenburg report...
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The main goal of this research work is to apply supervised machine learning algorithms to forecast loan acceptance. The data-set comprises 500 instances with 13 features including socioeconomic attributes and credit h...
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Big Data Analytics plays a vital role in every electrical industry to analyze the large amount of data received from their dispatch centers. Typically, Data retrieved from electrical systems like Generation, Transmiss...
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Even with the growth of computer science and availability of new areas of specialization, the problem of building compilers continues to be a core subject and offered at many universities around the world. This area i...
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As computer systems become increasingly complex, deep learning methods for rapidly analyzing and pinpointing anomalies in system logs are gaining widespread application to ensure smooth system operation. Addressing th...
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Detecting the ripeness of oil palm fruit is a critical aspect of the agribusiness industry to ensure optimal palm oil quality. This study examines various technological approaches to ripeness detection, including RGB ...
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