Advances in Control Theory, Dynamic Systems, and Complex Networks
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Dynamical Systems".
Deadline for manuscript submissions: closed (31 October 2024) | Viewed by 1644
Special Issue Editor
Special Issue Information
Dear Colleagues,
Currently, the challenging needs that exist across different areas of society, such as industrial, health, automotive, metal–mechanical processes, housing, security, aerospace, food, communication, transportation, and many others, cause the prioritization of technological advances in science. In these technological advancements, an understanding of physical systems as dynamic systems is of crucial importance, since, in most cases, the application of new advanced control algorithms undoubtedly intervenes in the process at hand. In such intercessions, the main objective is to maintain the systems that follow reference signals with minimal tracking error. These are robust to parametric variations, external perturbations, modeling errors, and unmodeled dynamics. In turn, knowledge of complex networks represents a very powerful tool that analytically allows us to understand interconnections and patterns in different physical or virtual systems, enabling the discovery of different structures and assessment of their impact.
The main objectives of this Special Issue include publishing the most recent advances in control theory, dynamic systems and complex networks to allow applications in different areas of science with real-world use.
We invite authors to send their contributions to this Special issue to address real problems and contribute to advances in automatic control, dynamic systems, and complex networks.
Prof. Dr. Carlos E. Castañeda
Guest Editor
Manuscript Submission Information
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Keywords
- modelling physical systems
- dynamic systems
- mathematical model-based algorithms
- new feedback control algorithms
- simulation implementation
- real-time implementation
- stability analysis
- complex systems
- complex networks
- synchronization of complex networks
- structures of complex networks
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