Complex Dynamic System Modelling, Identification and Control, 2nd Edition
A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Complexity".
Deadline for manuscript submissions: 31 May 2025 | Viewed by 862
Special Issue Editors
Interests: dynamic system modeling; identification; control; simulation
Special Issues, Collections and Topics in MDPI journals
Interests: control systems—theory and applications; smart grid control
Special Issues, Collections and Topics in MDPI journals
Interests: adaptive parameter estimation; system identification; intelligent control; adaptive control and application
Special Issues, Collections and Topics in MDPI journals
Interests: adaptive control; self-tuning control; multiple model adaptive control; multiple model adaptive estimation; stability analysis
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In the context of complex dynamic system modeling, identification, and control, the concept of entropy can play a significant role, particularly in understanding system behavior and dynamics, such as quantifying uncertainty or information content and selecting models by evaluating their predictive capacity and complexity, linking to robustness in control systems, where maintaining a certain level of entropy can help avoid predictable failures or limit cycle behaviors.
Integrating entropy into complex dynamic system modeling, identification, and control can enhance the understanding of system dynamics, improve data-driven decision making, and support the development of robust control strategies. This Special Issue presents new and improved insight, methodologies, and MIC techniques for complex systems that are challenging for research and (potentially) significant for a wide range of applications in real-world natural and engineering domains. Fundamentally, the papers should justify why the works have not been undertaken by the other colleagues and what the bottleneck issues have been the barriers for such research progression and applications. With academic rigorousness, this Special Issue is encouraging those emerging insights and approaches to provide concise/effective solutions in dealing with complex dynamic systems. The philosophy embedded in the S.I. is to seek simplicity (solutions) from complicity (problems). The editors look forward to receiving high-quality submissions and fostering interdisciplinary discussions to address the complex challenges appearing in these systems. Topics of interest include, but are not limited to, the following:
- Adaptive and intelligent approaches;
- Model-free, data-driven systems;
- Robustness-augmented concepts and methodologies;
- Complex system computational algorithms and interpretability;
- Simulink configurated experimental platforms;
- Emerging application-oriented methodologies and technologies;
- Challenging applications in robotics and autonomous systems, thermodynamic systems, general underactuated control systems, time-delayed processes, etc.;
- Authoritative survey in related domains.
Prof. Dr. Quanmin Zhu
Dr. Giuseppe Fusco
Prof. Dr. Jing Na
Dr. Weicun Zhang
Guest Editors
Manuscript Submission Information
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Keywords
- complex human-made and natural systems
- system identification
- nonlinear adaptive control
- robotic systems
- artificial intelligence for MIC
- immerging methodologies and algorithms for MIC
- entropy-oriented MIC
- case studies
- applications
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