Advances in the Analysis and Control of Nonlinear Dynamical Systems and Complex Phenomena
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "C2: Dynamical Systems".
Deadline for manuscript submissions: 24 December 2025 | Viewed by 26
Special Issue Editors
Interests: control and synchronization of nonlinear systems; application of dynamic complex networks; control of fractional-order systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The study and analysis of nonlinear dynamical systems is of high relevance in a vast area of science and engineering, due to its capacity to model complex phenomena in the real world. These systems, characterized by nonlinear interactions and often leading to unpredictable or chaotic behaviors, are presented in diverse areas such as robotics, networks of neurons, vehicular traffic, biological systems, fluid dynamics, energy microgrids, among others.
This Special Issue is dedicated to advances in the analysis and control of such systems, addressing both their theoretical foundations and practical applications. It includes contributions on nonlinear control techniques, mathematical modeling, complex network theory, machine learning strategies for dynamic systems, and control and prediction in nonlinear dynamical systems, such as weather patterns, biological systems, and power grids. Equally important, contributions exploring the emergence of complex phenomena—such as synchronization, bifurcations, and chaos—with the goal of enhancing control strategies and system design are also welcome.
We consider this Special Issue a valuable opportunity to showcase and discuss innovative advancements in the analysis and control of nonlinear systems and complex dynamical phenomena, fostering collaboration and knowledge exchange among researchers in the field.
Dr. Gualberto Solís-Perales
Dr. Adriana Aguilera-González
Guest Editors
Manuscript Submission Information
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Keywords
- nonlinear dynamical systems
- nonlinear control
- complex phenomena
- prediction and synchronization
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