Development Status and Trend of Control system and Intelligent Equipment for greenhouse

Wang, Xin; Zhang, Yuanyuan; Xu, Baoyan; Wang, Yu; Wang, Yuxiang

doi:10.1109/siela.2018.8447105

Cited by 2 publications

(1 citation statement)

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“…The main results include greatly improving the operator's operating efficiency, improving the quality of work in some dangerous places, and reducing work intensity, solving application of some dangerous and key constructions jobs, enhanced machine automation and intelligence, improved equipment reliability and reduced maintenance costs, and intelligent fault diagnosis, environmental protection and energy saving, etc. According to the, the integration is shown in Table 4 [29,30]. expert system have the ability to learn.…”

Section: Description Advantage Disadvantagementioning

confidence: 99%

Overview of Some Intelligent Control Structures and Dedicated Algorithms

Chang¹,

Chu²,

Lin³

et al. 2021

Automation and Control

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Automatic control refers to the use of a control device to make the controlled object automatically run or keep the state unchanged without the participation of people. The guiding ideology of intelligent control is based on people's way of thinking and ability to solve problems, in order to solve the current methods that require human intelligence. We already know that the complexity of the controlled object includes model uncertainty, high nonlinearity, distributed sensors/actuators, dynamic mutations, multiple time scales, complex information patterns, big data process, and strict characteristic indicators, etc. In addition, the complexity of the environment manifests itself in uncertainty and uncertainty of change. Based on this, various researches continue to suggest that the main methods of intelligent control can include expert control, fuzzy control, neural network control, hierarchical intelligent control, anthropomorphic intelligent control, integrated intelligent control, combined intelligent control, chaos control, wavelet theory, etc. However, it is difficult to want all the intelligent control methods in a chapter, so this chapter focuses on intelligent control based on fuzzy logic, intelligent control based on neural network, expert control and human-like intelligent control, and hierarchical intelligent control and learning control, and provide relevant and useful programming for readers to practice.

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Section: Description Advantage Disadvantagementioning

confidence: 99%