In this paper, a discrete-time adaptive dynamic surface quantization control method has been proposed for a class of multi-machine power systems with Static Var Compensator (SVC). The strategy combines RBF neural netw...
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ISBN:
(纸本)9798350386783;9798350386776
In this paper, a discrete-time adaptive dynamic surface quantization control method has been proposed for a class of multi-machine power systems with Static Var Compensator (SVC). The strategy combines RBF neural network and discrete low-pass filter to solve the differential explosion problem in backstepping and simplify the control law. Chatter is also reduced by a modified hysteresis quantizer, and digital control is achieved. Ultimate uniformly bounded properties of closed-loop systems are proved by designing Lyapunov functions and the simulation results confirm the effectiveness of the method.
With the rapid rise of mobile internet, the network has brought convenience to all aspects of people's lives, but it has also brought about the problem of 'information overload'. The combination of persona...
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ISBN:
(纸本)9798350386783;9798350386776
With the rapid rise of mobile internet, the network has brought convenience to all aspects of people's lives, but it has also brought about the problem of 'information overload'. The combination of personalized recommendation systems and mobile e-commerce has to some extent alleviated the drawbacks of 'information overload'. This article is based on the ceramic knowledge graph for the ceramic product recommendation system, providing a demonstration case for vertical e-commerce enterprises.
作者：
Zeng, DajunSchool of Music
Jiangxi Science and Technology Normal University Jiangxi Nanchang330013 China
The integration of music and artificial intelligence technology has brought more possibilities to the music industry today. The application of artificial intelligence in music is reflected in music generation, music i...
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In order to gain a competitive edge in the banking industry, direct face-to-face interactions between customers and banks are being gradually replaced by virtual interactions. Instead, they communicate using electroni...
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In order to gain a competitive edge in the banking industry, direct face-to-face interactions between customers and banks are being gradually replaced by virtual interactions. Instead, they communicate using electronic devices such as smartphones, tablets, and web applications. Transaction banking, which provides commercial services for banking products to small, medium, and large corporations, is a highly typical work unit in banking. Shipping and international payments, risk management for international trade, and other services are provided. We use the Service Oriented Modelling Architecture (SOMA) methodology to solve the problem of the transaction banking unit by relocating it from a system with general dependencies to a system that is independent of the entire service and operates on a small function scale. The study found that a decision as a service (DAAS) model with an Enterprise Service Bus (ESB), Business Process Management (BPM), and Business Rule Management (BRM) solution can provide guidelines for the design of decision rules pertaining to integrated or separate business modeling, thereby aiding business unit delivery.
This article discusses the application of machine vision technology in industrial scene recognition. The research uses deep learning algorithms, combined with computer vision technology, to build a scene recognition s...
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Solar energy campaigns (photovoltaic) are in great demand because they provide the advantages of being a clean energy source and the ability to speed the integration of new and renewable energy (NRE) into the energy m...
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This study focuses on the problem of vehicle dynamics modeling within the framework of intelligent vehicles cyber-physical systems. Initially, a mechanistic analysis of vehicle dynamics is conducted, and, leveraging i...
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ISBN:
(纸本)9798350366105;9798350366099
This study focuses on the problem of vehicle dynamics modeling within the framework of intelligent vehicles cyber-physical systems. Initially, a mechanistic analysis of vehicle dynamics is conducted, and, leveraging its characteristics, we design a composite neural network that integrates Gated Recurrent Unit (GRU) and Feedforward Neural Network (FNN), employing a data-driven modeling methodology. Subsequently, a novel neural network-based digital mapping proxy model for vehicle dynamics is formulated. Comparative experiments among various methods demonstrate that our proposed approach yields higher precision in both lateral and longitudinal dynamic models. The application of our model to the vehicle longitudinal speed tracking control system validates its suitability and real-time performance in control system simulation.
Modern power systems are facing significant challenges due to the massive penetration of renewable energy sources (RES). Recently, issues related to frequency security, system strength, and excessive fault levels have...
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This paper designs a virtual human-computer interaction system based on artificial intelligence laser animation projection. The system is based on multi-line Lidar and inertial measurement Unit (IMU) to construct a th...
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The Navisworks software in BIM technology is used to integrate and browse the engineering project, and the data structure of the engineering project is given. Navisworks was used for modeling and 3D display. A large-s...
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