Guest Editor(s)
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- Prof. Dr. Quanxin Zhu
School of Mathematics and Statistics, Hunan Normal University, Changsha, Hunan, China.
Website | E-mail
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- Dr. Hui Wang
School of Mathematics and Statistics, Nanjing University of Information Science and Technology, Nanjing, Jiangsu, China.
Website | E-mail
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- Dr. Nallappan Gunasekaran
Computational Intelligence Laboratory, Toyota Technological Institute, Nagoya, Japan.
Website | E-mail
Special Issue Introduction
It is well known that the dynamic behavior of an operating system in the real world is rather complex and difficult to be analyzed. Many inevitable and underlying factors, such as nonlinear perturbation, stochastic noise, time delay and switching phenomenon, often affect the evolution performance of dynamical systems. It leads to a controlled system’s instability or performance degradation, which results in huge economic loss and waste of sources. As numerous financial, physical and mechanical systems can be modeled by dynamical systems, the related issues (e.g., control, stability analysis and numerical computation) on dynamical systems are important and impressive. New conceptual approaches to control and stability analysis, both analytically and through computer simulation, are urged to be developed for dynamical systems.
This Special Issue aims to provide an opportunity for researchers to share recent advances in the control and analysis of dynamical systems. This issue has been an increasingly popular topic, with impressive growth concerning applications in finance, physics, and engineering mechanics, and can be considered a veritable contribution to the literature. Original papers relating to the objective presented above are especially welcome subjects.
Potential topics include but are not limited to the following:
1. Control and stability analysis of dynamical systems;
2. Modelling of complex dynamical systems in finance and engineering mechanics;
3. Stabilization of stochastic nonlinear systems and applications in finance and engineering mechanics;
4. Stochastic delayed systems;
5. Hybrid systems and switching systems;
6. Optimal control and optimization methods of complex financial systems;
7. Numerical computation and numerical algorithm of mathematical physics equations;
8. System identification and intelligent control;
9. Synchronous/Asynchronous control of dynamical systems;
10. Stability and control of financial systems;
11. Stability and control of engineering mechanics systems.
Submission Deadline
30 Apr 2023
Complex Engineering Systems
