1、 Discipline Introduction
Control Science and Engineering at Jiangxi University of Technology is a key discipline of Jiangxi Province during the 11th Five Year Plan period. It mainly conducts research on intelligent control theory and application, production process modeling and control, intelligent transportation systems, intelligent detection theory and methods, machine vision and robot control technology under the three secondary disciplines of "Control Theory and Control Engineering," "Detection Technology and Automation Devices," and "Pattern Recognition and Intelligent Systems." Theoretical research and technological development in the design of rare earth permanent magnet motors, power electronic control technology, pattern recognition theory and its applications, machine learning and its applications, new energy and intelligent microgrids, etc.
Obtained the right to confer a Master's degree in Engineering in Testing Technology and Automation Devices in 1988; Obtained the right to confer a Master's degree in Control Theory and Control Engineering in 2000; In 2006, he/she was granted the authority to confer a Master's degree in Control Engineering. In 2009, he/she enrolled the first batch of full-time master's degree students in Control Engineering nationwide. In 2011, he/she was granted the authority to confer a Master's degree in Control Science and Engineering as a first level discipline. Control theory and control engineering have been rated as key disciplines in Jiangxi Province's 11th Five Year Plan.
A discipline team has been formed around the key research directions of disciplines such as "Production Process Modeling and Control", "Machine Learning and Intelligent Control Theory", "Machine Vision and Robotics", "Intelligent Transportation Systems", "Functional Devices and Integrated Circuits", "Efficient and Energy saving Permanent Magnet Motors and Power Electronics Technology", "New Energy Generation and Intelligent Microgrid Technology", with an age and professional knowledge A mentor team with a reasonable structure of technical titles and high academic level, currently consisting of 26 mentors, including 17 professors (including professor level senior engineers) and 12 associate professors, including 6 part-time mentors off campus; There are 3 part-time doctoral supervisors, 1 recipient of the National Outstanding Youth Fund project, 1 national model teacher, 2 teaching masters in Jiangxi Province, and 3 subject leaders in Jiangxi Province.
This discipline has advanced research platforms such as Jiangxi Key Laboratory of Intelligent Systems and Computing, Jiangxi Key Laboratory of Machine Vision and Intelligent Systems, Jiangxi Key Laboratory of Maglev Technology, and National Innovation Talent Training Base, as well as laboratories such as Siemens Network Integrated Automation, Intelligent Transportation Systems, ABB Industrial Robots, New Energy Power Generation, Internet of Things, and Embedded Systems, Can provide good experimental research conditions for cultivating high-quality talents. In the past three years, this discipline has undertaken 12 national level projects, including 9 projects funded by the National Natural Science Foundation of China, more than 40 scientific research projects funded by the Jiangxi Provincial Natural Science Foundation, the Jiangxi Provincial Department of Science and Technology, and the Education Department. More than 50 scientific and technological development projects have been commissioned by enterprises, and more than 200 academic papers have been published. Among them, more than 100 papers have been indexed by SCI, EI, and ISTP; Published three works.
2、 Main research directions
1. Control Theory and Control Engineering
(1) Intelligent Control Theory
Facing control problems of complex objects, tasks, and environments, based on disciplines such as control theory, computer science, artificial intelligence, and operations research, the focus of research is on the description of tasks and reality models, identification of symbols and environments, and development of knowledge bases and inference engines. The research content involves related technologies such as symbolic information processing, heuristic programming, knowledge representation, automatic reasoning, and decision-making. This research direction has conducted effective research in the fields of fuzzy logic control, neural network control, support vector machine, genetic algorithm, etc., applying the latest achievements in the development of artificial intelligence and computer technology, and undertaking scientific research and engineering projects related to this.
(2) Modeling and Control of Production Processes
In response to the demand for comprehensive automation and global optimization of production processes, and the complexity and variability of parameter detection and controlled objects in mining and metallurgical production processes, network integrated automation technology, intelligent information processing technology, computer and network technology are adopted for parameter detection and control in large-scale manufacturing and complex production processes. This is aimed at modeling, optimizing control, and system design problems in complex industrial production processes, Conduct research on the theory, methods, technology, and system implementation of production process automation issues, and achieve optimized integration of control, operation, and management in the production process.
(3) Intelligent transportation system
The latest achievements in the application of control theory are applied to conduct research on the basic theories, key technologies, and system integration related to urban intelligent transportation systems, mainly involving permanent magnet maglev technology and maglev rail transit, urban regional traffic coordination control theory and application, urban traffic congestion mechanism and guidance, traffic information collection and processing, traffic environment monitoring and energy conservation, and the intersection of automation technology and traffic engineering. This research direction has conducted research with high academic value in the integration of rare earth permanent magnet maglev rail transit technology, optimization of transportation system resources and multi-objective collaborative design, intelligent control and application at signalized intersections, real-time display of electronic navigation information, dynamic path planning algorithms, congestion discrimination algorithms, transportation system modeling and simulation, and automatic transportation organization and monitoring in logistics parks, Undertake multiple national and provincial-level scientific research projects and practical engineering projects.
2. Detection technology and automation devices
(1) Intelligent detection theory and methods
In the industrial production process, various large equipment parameters are complex and variable, and the dynamic characteristics are difficult to predict. Conventional detection methods are difficult to accurately judge. This discipline is based on information theory, optimization theory, and intelligent algorithms, and conducts in-depth research on theories and methods that can be applied to intelligent detection of non-ferrous metallurgical equipment. It is committed to improving the automation and intelligence level of various equipment in enterprises, and improving the labor productivity of equipment Product quality and economic benefits of the enterprise.
(2) Machine Vision and Robot Control Technology
Machine vision mainly uses computers to simulate human visual functions, extract information from images of objective things, process and understand them, and ultimately use them for practical detection, measurement, and control. Machine vision technology is an interdisciplinary field that involves artificial intelligence, neurobiology, psychophysics, computer science, image processing, pattern recognition, and many other fields.
This field mainly focuses on the research and development of quality inspection and monitoring systems such as automotive component manufacturing and product packaging, medical image processing algorithms and analysis systems, robot vision navigation systems, visual inspection and monitoring systems for mining and metallurgical production processes, as well as special robots and intelligent manufacturing equipment control technologies, based on control science, robotics, machine vision technology, and artificial intelligence technology, Explore corresponding sensing cognition, environmental recognition and positioning, coordinated control, intelligent control, etc., and research new types of robots, robot control systems, and integrated technologies. Specially targeting the mining and metallurgical production process, we will develop special robots with visual control functions and high-performance group detection robots that meet the requirements of the green and energy-saving era, as well as intelligent equipment for mining and metallurgical production.
(3) Rare earth permanent magnet motors and power electronic control technology
With the goal of designing and controlling new energy-saving rare earth permanent magnet motor electrical appliances and power electronics technology for new energy generation systems, research is conducted around the structural design, analysis methods, and development of motor specific software for rare earth permanent magnet motors. Combining power electronics technology and microcomputer control technology, research is conducted on high-performance speed regulation of rare earth permanent magnet motors using digital signal processing and vector transformation control technology.
3. Pattern recognition and intelligent systems
Pattern recognition refers to the process of processing and analyzing various forms of information that represent things or phenomena, in order to describe, identify, classify, and explain things or phenomena. Focusing on theoretical issues related to pattern recognition and image processing, we will delve into pattern recognition methods based on statistical learning theory, dimension reduction and classification algorithms based on sparse representation and low rank modeling theory, large-scale data analysis and modeling theory based on matrix decomposition, and effectively apply them to fields such as face analysis and modeling, human-computer emotional interaction, motion target detection and tracking, and machine vision detection. Simultaneously integrating cutting-edge technologies such as artificial intelligence, big data, and cloud computing, in-depth discussions are conducted around large-scale data analysis and modeling problems, as well as the comprehensive application and unified framework of deep learning models and optimization, machine learning algorithm optimization, and sparse low rank modeling theory. The research results are applied to fields such as system modeling and optimization control, object detection, tracking, and recognition.
3、 Training objectives
(1) This major cultivates students who abide by laws and regulations, possess good moral qualities and academic cultivation, possess good communication and teamwork skills, possess strong career spirit, sense of responsibility and innovation, proficiently master a foreign language, be able to read foreign language literature and materials in this discipline smoothly, have a basic international perspective and cross-cultural communication, competition and cooperation abilities, as well as advanced talents in national construction.
(2) Master the basic theories and in-depth professional knowledge of control theory and engineering, detection technology and automation devices, pattern recognition and intelligent systems, and other professional fields covered by the discipline of control science and engineering. Have a high level of foreign language proficiency, be familiar with the development trends of scientific and technological research directions, and have the ability to independently conduct scientific research and technological development.
(3) Capable of fulfilling the needs of conducting scientific research, teaching, technology development, and enterprise management in employers such as enterprises, universities, and research institutes.
4、 Years of study
The full-time graduate program lasts for 3 years, with a normal study period of 3 years. The maximum study period for full-time graduate programs does not exceed 4 years, and the maximum study period for in-service personnel applying for a master's degree with equivalent academic qualifications does not exceed 7 years.
5、 Training methods
Graduate education adopts a supervisor responsibility system or a guidance group responsibility system under the leadership of a supervisor. The mentor (guidance group) guides the entire process of graduate education, including formulating a graduate education plan, organizing project proposal, mid-term assessment (screening), defense, guiding scientific research, research practice, and thesis work, while also guiding, demonstrating, and supervising the academic cultivation and ethics of graduate students. Graduate education adopts a mid-term assessment system, and those who fail the assessment are not allowed to proceed to the next stage.
Employees who apply for a master's degree with equivalent academic qualifications mainly use a combination of self-study, online learning, and centralized learning for course learning, while other stages refer to full-time graduate students.
6、 Curriculum and credit requirements
Graduate students, under the guidance of their supervisors, choose courses based on their research direction and develop a training plan.
The total credits required for graduate studies shall not be less than 30 credits, of which: course credits shall not be less than 25 credits (degree course credits shall not be less than 17 credits, non degree course credits shall not be less than 8 credits), and compulsory courses shall have 5 credits.
The application for thesis defense will not be accepted if the course credits and required courses have not been completed.
7、 Compulsory Course
During the pursuit of a master's degree, it is necessary to complete the required courses such as innovation and entrepreneurship education, labor education, academic presentations, and project proposal.
1. Innovation and Entrepreneurship Education and Labor Education (3 credits)
The graduate innovation and entrepreneurship education activities aim to cultivate graduate students' innovative practical abilities, strengthen their entrepreneurial awareness, and guide them to carry out innovation and entrepreneurship. Carry out graduate innovation and entrepreneurship education activities through special lectures, reports, experience exchange meetings, or participation in various levels and competitions.
Innovation and entrepreneurship education has a total of 2 credits. The following methods are mainly used to review credits: ① Listening to innovation and entrepreneurship forums, lectures, or academic exchanges, and having the graduate teaching secretary review and sign, with 1 credit calculated every 6 times; ② Achieved the following innovation and entrepreneurship achievements: 1 award in a provincial or ministerial level competition, independently established a company with a business license, or published 1 corresponding conference paper at a provincial or municipal level innovation and entrepreneurship forum, with a total of 2 credits; ③ Second prize or above in innovation and entrepreneurship competitions at or above the school level, with a total of 0.5 credits per project.
Labor education aims to inspire and guide graduate students to establish excellent qualities that advocate labor and love labor. It aims to cultivate morality through labor, increase intelligence through labor, promote skills through labor, strengthen physical fitness through labor, cultivate beauty through labor, and innovate through labor, in order to establish correct labor values.
Labor education has a total of 1 credit, mainly focusing on volunteer services and labor practice education activities. It is organized by the college or subject points, registered by the college, and accumulated for 10 hours or more per academic year, with a total score of 1 point.
2. Academic Report (1 Credit)
Graduate students are required to complete an academic report on the research progress and achievements of their master's thesis during their studies, which will be organized and assessed by the college or discipline, and the arrangement should be relatively concentrated.
3. Project proposal (1 credit)
The proposal report is one of the most crucial links in graduate education, which directly affects the progress and quality of thesis work. To fully leverage the leading role of mentors in the selection of thesis topics, it is necessary to clarify the intended direction and scope of research topics as early as possible after graduate enrollment, and develop a work plan for the thesis, in order to enable graduate students to enter scientific research practice as soon as possible.
8、 Thesis and defense requirements
1. Read at least 30 references within the scope of the thesis topic and research direction, including no less than 10 foreign language references. A thesis requires clear concepts, correct arguments, rigorous argumentation, accurate calculations, reliable data, clear hierarchy, concise writing, fluency, and clear charts. A thesis should be based on investigation and research, and the research content should have certain academic value. The research results have certain significance for the development of the national economy. The time for conducting scientific research work around the paper shall not be less than one year.
Only those who pass the evaluation of their thesis can defend their thesis.
3. The basic requirements for a degree shall be implemented in accordance with the degree granting rules issued by the school.
Before accepting the application for thesis defense, graduate students must achieve one of the following academic achievements during their studies:
(1) Publish or accept at least one academic paper in a CSCD or above journal (including CSCD);
(2) Publish or accept at least one academic paper in a national Chinese core journal or above (including Chinese core journals);
(3) Publish at least one indexed academic paper at a high-level conference in this discipline (graduate students must attend and present their papers at the conference):
(4) Obtained one invention patent authorization (the first patent holder is Jiangxi University of Technology).
The above achievements must be signed as the first or second author (but the first author must be their supervisor), and an acceptance notice must be provided for accepted papers; Otherwise, it will not be accepted.
5. Before applying for a master's degree with equivalent academic qualifications, in-service personnel should publicly publish academic papers in academic journals at or above the provincial level, and the signature of the paper should refer to that of full-time graduate students.
9、 Other requirements
The conditions for applying for early graduation must meet the relevant provisions of the Graduate Student Registration Management Regulations of Jiangxi University of Technology.
1. Master's students who apply to graduate six months in advance must meet the requirements of outstanding graduates and also meet the following conditions:
(1) During my postgraduate studies, I did not engage in any violations of discipline and demonstrated excellent performance in all aspects of morality, intelligence, physical fitness, aesthetics, and labor;
(2) I have completed the required credits, have no make-up exam subjects, and have a weighted average score of 85 points or above in the course. The time interval between the opening of the thesis and the submission of the formal draft of the thesis is not less than six months;
(3) Before accepting the application for thesis defense, graduate students must achieve one of the following academic achievements during their studies:
1) Publish or admit one high-level journal paper to be indexed and indexed by SCI, EI, or SSCI;
2) Published or accepted papers in CSCD or above journals (including CSCD), or published or accepted papers in national Chinese core journals or above (including Chinese core journals), or published papers at high-level conferences in this discipline (graduate students must attend and read papers at the conference), or obtained patent authorization (with Jiangxi University of Technology as the first patentee), totaling 2 papers.
The above achievements require the first or second author (but the first author must be their supervisor) to be signed, and for accepted papers, an acceptance notice must be provided
