Application Of Fuzzy Control Algorithm Research Articles

Application of fuzzy control algorithm in music culture communication and teaching management

With the development of technology, fuzzy control algorithm is applied more and more widely in various fields. In the field of music culture dissemination and teaching management, this advanced algorithm opens up new possibilities for the creation, analysis and promotion of music. This study first discusses the basic theory and characteristics of fuzzy control algorithm, and then analyzes its specific application and potential value in music culture communication and teaching management. Through experimental verification, this paper reveals how fuzzy control algorithm plays a key role in music teaching evaluation, curriculum design and student interaction. In addition, the application of this algorithm in the intelligent classification, recommendation and analysis of music content is also studied. After comprehensive analysis, this paper summarizes the advantages and limitations of fuzzy control algorithm in the field of music, and puts forward suggestions for its future research and application.

Application of fuzzy control algorithm in college students’ personal career planning and entrepreneurship

In today’s information age, network public opinion has an increasing impact on the educational environment of colleges and universities, and has a profound impact on students’ career planning, initiative and employment perception. In view of this situation, this study discusses the evaluation and guidance of university network public opinion environment based on fuzzy evaluation method. Firstly, the theory of fuzzy evaluation method is elaborated in detail, and its advantages and challenges in decision making are discussed. Then, the fuzzy evaluation method is applied to the evaluation of the network public opinion environment in colleges and universities, and the relationship between students’ entrepreneurial education, entrepreneurial intention, entrepreneurial intention, entrepreneurial behavior and the establishment of new enterprises is deeply studied. Finally, by optimizing the application of fuzzy evaluation method, the accuracy and efficiency of evaluating the network public opinion environment in colleges and universities are improved. This study provides a scientific and systematic evaluation tool and guidance strategy for the network public opinion environment for researchers and practitioners in related fields, so as to promote the improvement of the educational environment and the development of students.

Application of Fuzzy Control Algorithm in First-order Inverted Pendulum System

The inverted pendulum system is widely used in the study of control theory. There are many advantages of the inverted pendulum: the equipment is cheap, and it features a simple structure and easy regulation. But since the inverted pendulum system is also a typical nonlinear, multivariable system, it’s a really difficult thing to keep it stable. Because of this, it’s important to figure out a way to stabilize the system. More importantly, new control methods will be discovered during the process, and these new methods can be used in many other different systems. The inverted pendulum system can reflect performances such as robustness, mobility and tracking performance. Its dynamic condition is similar to a human walk, and its steady state is similar to the launch system on a rocket’s motion attitude, so the study of the inverted pendulum system is also important to the robot and rocket area. This paper describes the construction of a mathematical model of a first-order inverted pendulum, and the process of designing the fuzzy controller based on the related fuzzy control rules. It also conducts the optimization of the fuzzy controller using a genetic algorithm. After using MATLAB’s Simulink module to simulate the inverted pendulum system and adjust the parameters of the controller, the system could finally reach a stable status within a short period of time, from all kinds of original status, and have anti-jamming performance.

The Study of Fuzzy Control Algorithm in a Duct Active Noise Control System

In this paper, the application of fuzzy control algorithm in duct active noise control technology was studied, according to the problem of secondary acoustical feedback existing in feedforward control structure (FCS) adaptive active noise control (AANC) system, a reverse control structure of fuzzy active noise control (FANC) system was established. Through Matlab software the fuzzy control algorithm was simulated, and the simulation results showed that it has a good convergence and stability in the FANC system.

Design and Implementation of the Environment Monitoring System Indoor Based on RFD5800

As the characteristic of the indoor, Environment monitoring system is not suitable for wiring, It be designed an indoor environment detection system based on RFD5800 which is wireless transmission module in this paper, and completed the hardware and software design of the system. The hardware system consists of the main control module, the detection module, display module, wireless transmission module and control module. Software includes acquisition program and transfer procedures, and application of fuzzy control algorithm for data integration to improve the measurement accuracy. The system achieved the purpose of real-time monitoring of the indoor environment by detecting