Control System of Image Synthesis Based on Cluster Mathematical Model of K-Means Intelligent Computer

2014 ◽  
Vol 543-547 ◽  
pp. 2431-2434
Author(s):  
Hai Ying Liu
Keyword(s):  
Artificial Intelligence ◽  
Mathematical Model ◽  
Control System ◽  
Intelligent Control ◽  
Clustering Algorithm ◽  
Image Synthesis ◽  
Intelligent Control System ◽  
Clustering Model ◽  
Automatic Control Theory ◽  
Intelligent Computer

On the basis of computer automatic control theory of artificial intelligence, we use Kmeans clustering algorithm to establish mathematical model of automatic art synthesis for computer painting, and realize the computer artificial intelligence painting synthesis by using MATLAB software. In the first part we introduce the intelligent control system of computer drawing in detail, and do decomposition and combination on the frame number by using the computer intelligent drawing cell. In the second part we establish the intelligent clustering model of Kmeans algorithm, and introduce the model painting synthesis. In order to verify the availability and reliability of the model designed in this paper, we design simulation experiment of MATLAB drawing synthesis, and obtain the art synthesis of clothing abstract drawing by calculation. It provides the theory reference for the research on computer artificial intelligence control technology

Application of intelligent systems to optimize the production of science intensive products

2021 ◽  
Author(s):  
A.A. Chursin
Keyword(s):  
Mathematical Model ◽  
Control System ◽  
Life Cycle ◽  
Intelligent Control ◽  
Intelligent Systems ◽  
Intelligent System ◽  
High Tech ◽  
Intelligent Control System ◽  
Economic Decisions

The construction of an intelligent control system for the production of science intensive products is considered. An economic and mathematical model of the functioning of the system at all stages of the life cycle of science intensive products is proposed, the informational principle of making economic decisions under conditions of uncertainty is formulated. Keywords: science intensive products, high-tech production, intelligent system. [email protected]

The Design of Artificial Intelligence Control System for LED Based on ZigBee and Light Emitting Diode Materials

2012 ◽  
Vol 460 ◽  
pp. 290-294
Author(s):  
Yu Jie Zhang ◽  
Yun Liu
Keyword(s):  
Artificial Intelligence ◽  
Control System ◽  
Intelligent Control ◽  
Design Method ◽  
Light Emitting Diode ◽  
Constant Intensity ◽  
Development Platform ◽  
Labview Software ◽  
Intelligent Control System ◽  
Intelligence Control

Due to the defects of traditional LED intelligent control system, the design scheme of artificial intelligence control system for LED based on ZigBee was proposed in this paper, which described the hardware and software design method of the system. The system used STM32 as the core and embedded BP neural network program in LabVIEW software, which can achieve the optimal intelligent control for LED under the LabVIEW development platform through ZigBee wireless network, including the functions of constant intensity of illumination lighting, compensation lighting, adaptive lighting and artistic lighting according with human body visual comfort. The system can be widely used in large lighting place and intelligent household application field.

scholarly journals INTELLIGENT CONTROL OF ELECTRICAL DRIVE SYSTEM USED FOR ELECTRIC VEHICLES

2018 ◽  
Vol 18 (1) ◽  
pp. 5-10
Author(s):  
Helga Silaghi ◽  
Maria Gamcova ◽  
Andrei Marius Silaghi ◽  
Viorica Spoială ◽  
Alexandru Marius Silaghi ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Mathematical Model ◽  
Control System ◽  
Intelligent Control ◽  
Drive System ◽  
System Control ◽  
Logic Control ◽  
Electrical Vehicles ◽  
Classical Control ◽  
The Mathematical Model

Abstract An electric vehicle (EV) uses an electric motor for traction and chemical batteries, superconductors, combustion cells and / or inertial masses as energy sources. To avoid problems regarding the accuracy of the mathematical model of the system, the use of artificial intelligence in electric drives is a viable alternative. Among other advantages of using artificial intelligence in the electric drive system, it can be emphasized that its application reduces the design time and leads to avoiding problems with the introduction of the mathematical model in the system control algorithm. This paper presents several case studies of electrical vehicles and some considerations about intelligent control of EVs. Finally some experimental results that compare classical control system with fuzzy logic control system for EV are presented.

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