A Hierarchical Framework for Intelligent Launch Site System

Xiao, Litian; Li, Mengyuan; Wang, Fei; Li, Yuliang

doi:10.1109/icinfa.2018.8812548

Cited by 8 publications

(2 citation statements)

References 9 publications

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“…The main structure of the large-scale system control hierarchy includes multiple descriptions, multi-level descriptions, and multi-level descriptions. According to the number of decision-making objectives, the system can be divided into single-stage single-objective systems, single-stage multi-objective systems, and multi-stage multi-objective systems [17].…”

Section: Hierarchical Intelligent Control and Learning Controlmentioning

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: Hierarchical Intelligent Control and Learning Controlmentioning

confidence: 99%

Overview of Some Intelligent Control Structures and Dedicated Algorithms

Chang¹,

Chu²,

Lin³

et al. 2021

Automation and Control

View full text Add to dashboard Cite

show abstract

“…In this case, along with obtaining information, the exchange of information between different levels, use of special processing, structural and software solution methods for determining and increasing the correctness of the information obtained are among the issues to be addressed. For this reason, in the development of intelligent systems, the development of solution algorithms allowing to make right decisions based on the principle of IF THEN in the possibility of different solutions, the creation of an exemplary, accurate data bank for making the right decisions and the comparison of measurement and control results with those data, making the right decisions as a result of analysis are of particular importance [10].…”

Section: Introductionmentioning

confidence: 99%

System of Intelligent Measurement and Control for the Condition of Moving Objects

Bekirova

Bayramov²

2021

International Journal of 3D Printing Technologies and Digital Industry

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An intelligent system that monitors the speed and condition of a moving object is designed to reduce the risk of potential threats that may arise with autonomous decision-making capabilities depending on the situation and exchange information with databases via remote network sensors. Risk assessment based on information obtained from stationary metering stations installed at intersections and control crossings, object characteristics parameters and side-effect parameters, alerting the central management system based on the results, and making decisions on regulating the speed of the facility, depending on the level of danger and whether the decision is approved by the center, providing information about the facility on the board, sending alerts to security systems at intersections, and identifying opportunities for change by influencing decisions based on risks The characteristic technical parameters of the inflated object depend on internal and external factors and making appropriate decisions according to the risk assessment, etc. information on processes, monitoring, and control. Monitoring of working conditions with the participation of the remote control wireless sensor network in the central control room.

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Remote Intelligent Support Architecture for Ground Equipment Control in Space Launch Sites

Xiao

Hou

et al. 2019

Advances in Intelligent Systems and Computing

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A Hierarchical Framework for Intelligent Launch Site System

Cited by 8 publications

References 9 publications

Overview of Some Intelligent Control Structures and Dedicated Algorithms

Overview of Some Intelligent Control Structures and Dedicated Algorithms

System of Intelligent Measurement and Control for the Condition of Moving Objects

Remote Intelligent Support Architecture for Ground Equipment Control in Space Launch Sites

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