A Discrete-Time Neurodynamics Scheme for Time-Varying Nonlinear Optimization with Equation Constraints and Application to Acoustic Source Localization

With the development of network communication, computer technology and artificial intelligence, it has become an inevitable development trend to promote "intelligent buildings" characterized by intelligence, comfort and safety. In order to solve the shortcomings of the existing research on intelligent building control system, this paper discusses the functional equation of CAN algorithm, artificial intelligence fuzzy controller and intelligent building, and aims at the intelligent building control system based on artificial intelligence and CAN algorithm. Hardware settings and parameter settings are briefly introduced. And the work flow design of the intelligent building control system structure based on artificial intelligence and CAN algorithm is discussed, and finally the application of the intelligent building control system based on artificial intelligence and CAN algorithm is experimentally tested. The correct number of switch control by artificial intelligence and CAN algorithm in the intelligent building control system is relatively high. The correct number of switch control in the interference environment is less than that in the humid environment, and the number of switch operations for the control system is the least in the humid environment. The error rate of 500 and up to 2500 is less than 5%, thus verifying the superiority of the application of intelligent building control system based on artificial intelligence and CAN algorithm.

This paper aims to present an implementation of advanced lighting control system in airport terminal. The lighting requirements of the terminal are fulfilled and regulated by an intelligent control system deployed with i-bus. The intelligent control system adjusts the lighting in terminal at different time according to the real-time requirements. Compared with conventional control system, this intelligent control system can control the lighting in time as long as the real-time requirements are shifted in a remote way. Besides, this new system can also save energy to a great extent.

During road construction, the accuracy of compaction work is critical for the structural stability and maintenance of the road. Although the plate load test (PLT) is commonly used for quality inspections, it is impractical to test every section due to time and cost constraints. Therefore, simpler testing methods are being extensively developed. This study compared quality inspection results using the commonly used PLT, the relatively simple dynamic cone penetrometer test (DCPT), the lightweight deflectometer (LWD) test, and an intelligent quality control system equipped with accelerometer and global positioning system (GPS) sensors in intelligent compaction (IC) rollers. The results showed a strong correlation between the conventional tests (PLT, DCPT, and LWD) and the values obtained from the intelligent quality control system. The correlation analysis between the intelligent quality control system and PLT, LWDT, and DCPT yielded R-square values of 0.69, 0.91, and 0.95, respectively, indicating significantly high correlations. The implementation of intelligent quality management systems in earthwork construction projects will facilitate a thorough verification of the compaction quality throughout all construction segments, ensuring consistent compaction across the project. By enabling real-time data acquisition and analysis, these systems differ markedly from traditional methods, reducing the frequency and necessity of manual inspections. This approach not only streamlines construction processes, but also enhances operational efficiency. As a result, integrating these intelligent systems is anticipated to significantly increase productivity by optimizing the workflow and resource utilization in earthwork construction.

In the construction and development of modern society, the traditional artificial production line operation mode, has been unable to meet the needs of enterprise development, research scholars in the study of the Internet of things as the core of the intelligent production line process control system. The whole system design not only references a lot of advanced technology theory, but also has remote control and automatic assembly and other unique functions. On the basis of understanding the theory of Internet of Things technology, this paper mainly discusses the components of intelligent production line process control system, combined with practical cases to study the system application effect. The final results show that the internal functions of the system are in line with the current production and transportation needs of enterprises, and can solve the problems existing in the traditional production line process control.

The matter of energy waste has always been an unavoidable problem in the sustainable development of human beings. Because of poor awareness and weakness technology of environmental conservation, many classrooms and laboratories are very wasteful of power resources due to the use of traditional lighting systems. Focus on the problem that the traditional lighting control technology is used in the classroom lighting system. In this paper, a new intelligent lighting control system for the classroom is designed, based on PLC and industrial touch-sensitive screen. Firstly, a new intelligent lighting control system for the classroom based on PLC is presented according to the design ideas and the composition principle of typical electrical control system. There are three control modes: automatic, timing and manual, according to the needs of the classroom lighting system, Secondly, the lighting circuit and PLC control circuit are designed, in addition, the control principle of each component in the circuit is described in detail. Based on this, the control program of PLC is developed. The test results show that the system design is affordable, which can solve the above problems well.

This paper presents an intelligent control system designed for an electric automatic spraying device used in applying anti-corrosion coatings on steel pipe rods in transmission lines. The proposed system integrates a sensor feedback mechanism, motion control algorithm, and paint flow optimization module, enabling precise control over paint thickness, improved material efficiency, and enhanced coating uniformity. The intelligent system utilizes real-time feedback from multiple sensors to dynamically adjust spray parameters, maintaining consistent coating quality across various pipe dimensions. Experimental results demonstrate the system's effectiveness in reducing paint wastage by 15% and achieving a uniform coating with a mean deviation of less than 5 microns, meeting anti-corrosion standards for transmission infrastructure. This study provides a scalable, adaptive approach to automated coating processes, with potential applications in other industrial contexts where precision and material efficiency are essential.

When the temperature rise and fall rates of a large-scale aqueduct with traditional water-cooling technology exceeds the standard, it is difficult to avoid the temperature change of aqueduct concrete deviating from its control curve in the process of temperature rise and fall by adjusting the water flow rate or cooling the water temperature of a water pipe only by manual experience. Aiming at such problems, an intelligent temperature control system for a large aqueduct body is developed and applied, which is composed of an information processing and decision-making module, simulation calculation module and information collection and control module, with real-time interactive information and real-time update of the temperature change control curve. The system is applied to the 1:30 Dongjia Village Aqueduct model experiment. The model experiment results show that the system can automatically adjust the water flow velocity of concrete according to the temperature variation control curve, and update the temperature variation control curve according to the changes of environmental parameters and cooling water parameters.

There are many defects in the traditional narcotics and psychotropics management. Since the intelligent control system of narcotics and psychotropics was brought in our department, the drug management has gone to a new level. Now there will be an introduction about the application of the management system. Key words: Narcotics and psychotropics; Safety management; Medication systems, hospital

Intelligent systems often violate fundamental usability principles, such as control and transparency. Explanations have been shown to have a positive effect on transparency in such systems but little research exists as to how it may affect control. We set out to investigate how explanations may impact upon users' perceptions of control in an intelligent system. We conducted an empirical study in which 15 participants carried out a qualitative data analysis task using an intelligent system. Participants were divided into two groups: with and without explanations. Participants could indicate agreement or correct the system. Our results show that participants without explanations display more control-exerting behaviors but that there is no difference between conditions in participants' perception of control. We discuss our findings and implications for future work.

Обоснован перечень задач самообучения интеллектуальных систем управления автономными роботами и мультиагентными робототехническими группировками. Обсуждаются основные проблемы создания интеллектуальных самообучающихся систем управления. Показано, что один из наиболее перспективных подходов к реализации процессов самообучения в интеллектуальных системах управления автономными роботами и многоагентными робототехническими группировками связан с использованием метода автоматического построения деревьев классификации. Приводятся результаты комплексного моделирования.

Ensemble of long short-term memory prediction and variable universe fuzzy control for seismic response reduction using electromagnetic dynamic vibration absorber

This paper describes the successful application of a hybrid intelligent control system to perform the real time control of rotary kiln for alumina production. The hybrid intelligent control strategy is explained with special emphasis on the adaptive fuzzy control and rule-based expert control. The hybrid intelligent control software package was developed based on the DCS platform. The software package has been found to provide good economic benefits in its successful application in a real rotary kiln process.

With the progress of computer technology and intelligent control system, it is necessary to introduce the PLC together with the current systems. In this paper, we conduct research on the new intelligent industrial control and communication system based on PLC technique. As Industry 4.0 at the core of intelligent factory, the products made in its basic idea is integrated with dynamic digital memory, perception and communication ability, carrying the whole supply chain and all kinds of information required for life cycle. PLC biggest characteristic is to constitute the traditional relay model computer software technology, formed a unique style in relay ladder graph based image programming language, the PLC control system in the form of program to achieve its control function. In the simulation section, we implement our proposed system in detail and conduct numerical analtsis and simulation. The result is acceptable and accurate.

The main problem faced in supplying power to remote consumers is that there are high logistical costs of delivering fuel and equipment for diesel power plants, poor density of transport infrastructure and, as a consequence, a high cost of fuel. There are also high operating costs at diesel power plants and specific fuel consumption; in addition, there is no monitoring and control automation. In view of a high wind potential of the Arctic territories, energy complexes and systems can be effectively modernized and constructed on the basis of modular wind-diesel power plants with an intelligent control system. A concept of and hardware solutions for an intelligent automatic control system are proposed, the use of which makes it possible to maximize the amount of electricity generated by renewable sources owing to dynamically redistributing the power between the hybrid energy complex components and, as a result, to minimize fuel consumption. An analysis of a controlled wind-diesel power plant has shown that by using an intelligent automatic control system, forecasting the electricity generation by a wind power plant, and arranging storage battery operation in a cyclic mode, it becomes possible to effectively cover the load schedule of an autonomous consumer and increase the extent of diesel fuel substitution by up to 60 % or more.

Design of on-line embedded web server is a challenging part of many embedded and real time data acquisition and control system applications. The World Wide Web is a global system of interconnected computer networks that use the standard Internet Protocol Suite (TCP/IP) to serve billion of users worldwide and allows the user to interface many real time embedded applications like data acquisition, Industrial automations and safety measures etc,. This paper approached towards the design and development of on-line Interactive Data Acquisition and Control System (IDACS) using ARM based embedded web server. It can be a network, intelligent and digital distributed control system. Single chip IDACS method improves the processing capability of a system and overcomes the problem of poor real time and reliability. This system uses ARM9 Processor portability with Real Time Linux operating system (RTLinux RTOS) it makes the system more real time and handling various processes based on multi tasking and reliable scheduling mechanisms. Web server application is ported into an ARM processor using embedded `C' language. Web pages are written by Hyper text markup language (HTML); it is beneficial for real time IDACS, Mission critical applications, ATM networks and more.