1. Program Objective

This program is committed to fostering high-quality, innovative talentscapable ofengagingin scientific researchindependentlywith well-rounded personal development, professional ethics, and academic competence in alignment with socialist values. Through a joint training approach with both domestic and international expertise, the program aims to: (1) Cultivate professionals dedicated to serving the needs of socialist modernization and capable of adapting to societal, economic, and technological advancements. (2) Develop a spirit of scientific integrity, rigor, and innovation, equipping students with a broad and solid foundation in Control Science and Engineering,along withsystematic and in-depth professional knowledge and necessary experimental skills,with a keen understanding of current trends and frontiers in the field. (3) Provide students with comprehensive control science knowledge, advanced engineering application skills, and the ability to engage in the development and design, process design,and technical implementationof control systems, equipment or devices. (4) Enable students to independently conduct research or assume technical roles, solving practical engineering challenges in the discipline. (5) Build proficient English communication skills and an international perspective, allowing students to read professional literature and engage in global academic exchanges. (6)Withinternational industry rulesin mind, foster teamwork and cross-cultural communication abilities, equipping students to conduct theoretical research or high-level practical work in international organizations within Control Science and Engineering, using theirbasic theoretical and practical knowledgein acomprehensiveway.

2. Key Research Areas

(1) Complex System Modeling and Control:

Focused on complex systems in networked environments, addressing issues in engineering, social, economic, and defense sectors through complex system modeling, analysis, control and optimization. Research includes predictive control, robust control, large system theoryand hierarchical control, time-delay systemcontrol, nonlinear systemcontrol, stochastic system filtering, estimation and adaptive control, robot network control, etc.,and applications in power supply and distribution systems, industrial and mining production, intelligent transport, and robotics.

(2) Industrial Process Control:

Tackles challenges in industrial control, with research on the theory and methodin process modeling, system integration, optimization, and control. Key areas include industrial process control systemmodeling and simulation, new-generation mastercontrol systems, fieldbus control technology, advanced process controltheory and application, process optimizationtheory and application, andindustrial process control system.

(3) Measurement Technology and Automation:

Focusing on intelligent instruments and large electromechanical systems, this area addresses signal detectionand processing, equipment monitoring, and fault diagnosis. Research includes signal analysisand processing, intelligent detectiontheory and its application, equipment monitoringand fault diagnosis, data fusion technology, sensor technology, measurement and control integration technology, networked instruments, embedded systems,and intelligent instruments.

(4) Motion Drive and Control:

Research on drive and control of complex motion bodies, advanced motion control theoriesand methods, embedded controllers and drivetechnology, high-precision synchronous transmissionand servo systems, special motor drive control, performance testing and fault diagnosis of motion control systems, navigation guidance, and trajectory control.

(5) Pattern Recognition and Intelligent Control:

Covers information collection, processing, feature extraction, pattern recognitionand analysis, video image background separation and moving object recognition, image understandingand recognition, computer vision, robotic control, AI, and intelligent systems.

3. Core Courses: Comprehensive English, Academic English, Distributed Systems, Real-Time Systems, Introduction to Machine Learning and Data Engineering, Edge Deep Learning, Test Development Engineering, Advanced Digital Systems Design, Digital Control, and Applied Cloud Computing.