The journal primarily reports theoretical research with novel concepts and ideas in system control science, along with their application outcomes in high-tech fields and technological development/transformation within national economic sectors. Key areas of coverage include:
1. System modeling, identification, and estimation
2. Data-driven modeling and control
3. Process control
4. Intelligent control
5. Network control
6. Nonlinear system control
7. Stochastic system control
8. Predictive control
9. Multi-agent systems and distributed control
10. Robust and adaptive control
11. System optimization theory and algorithms
12. Hybrid systems and discrete event systems
13. Engineering control systems
14. Aerospace control systems
15. Control systems in emerging strategic industries
16. Game theory and social networks
17. Micro-nano and quantum systems
18. Pattern recognition and machine learning
19. Intelligent robotics
20. Application of advanced control theory in practical systems
21. Other significant issues in system control science
The target readership includes researchers, university faculty, students, and other professionals engaged in control theory and applications. The journal features columns such as Reviews & Commentaries, Full-Length Papers, Articles, Brief Papers, Book/Journal Reviews, Readers'Letters, and Information on Domestic & International Academic Events.
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