Communications in Nonlinear Science and Numerical Simulation
Special Issue on Nonlinear Impulsive Systems: Dynamics, Control, and Applications in Science and Engineering
• 大类 : 物理 - 2区
• 小类 : 应用数学 - 1区
• 小类 : 数学跨学科应用 - 2区
• 小类 : 力学 - 2区
• 小类 : 物理：流体与等离子体 - 2区
• 小类 : 物理：数学物理 - 1区
The importance of nonlinear impulsive systems (NISs) cannot be overemphasized. They are pervasive in many areas of science and engineering. Examples include neural networks, physics, secure communication, biological systems, financial markets, computer networks, signal processing systems, mechanics, automatic control, maneuvers of spacecraft, and electrical and mechanical structures. The most prominent feature of NISs is that they can take full account of the effects of instantaneous change and exhibit much complex dynamics. Generally, the study on NISs can be divided into two classes: impulsive perturbation (IP) and impulsive control (IC). In the case where a given system without impulse possesses certain performances such as periodic solution, attractor, stability, bifurcation, and boundedness, while the corresponding performance can be preserved when the system is subject to sudden perturbations. Such case is regarded as IP. While in the case where a given system without impulse does not possess a performance, but it can possess it via proper impulsive control, it is regarded as IC. No matter IP or IC, in past years, NISs have been studied in many areas of natural sciences, social sciences, engineering and mathematical sciences.
The purpose of this special issue is to provide a platform for researchers to disseminate original research in the fields of NISs. This is an excellent opportunity for researchers to report their recent progresses with the scientific community, in general and particularly working in the fields related to the title of the special issue. The researchers can contribute their original work that addresses any aspect of dynamics, control and modeling of NISs.
The list of possible topics includes, but is not limited to:
- Design of controllers for NISs
- Mathematical modeling for NISs
- Event-triggered IC of multi-agent systems or networked control systems
- Consensus and cooperative control of multi-agent systems subject to IP
- Stability and synchronization control of neural networks with IP or IC
- Delayed impulses, large-scale impulses, stochastic impulses, state impulse, hybrid impulse etc.