Analysis and Control of Dynamical Systems, 2nd Edition

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "C2: Dynamical Systems".

Deadline for manuscript submissions: closed (30 April 2025) | Viewed by 343

Special Issue Editors


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Guest Editor
1. School of Automation, Nanjing Institute of Technology, Nanjing 211167, China
2. School of Automation, Southeast University, Nanjing 210096, China
Interests: nonlinear control; control theory; dynamical systems
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Guest Editor
1. School of Engineering, Qufu Normal University, Rizhao 276827, China
2. School of Artificial Intelligence, Nankai University, Tianjin 300350, China
Interests: nonlinear control; constrained control; control theory; dynamical systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Dynamical systems are encountered everywhere in modern life, including engineering, economics, and ecology. As a result, in recent decades, the study and control of dynamical systems have become the focus of research in the field of system control. However, as science and technology develop, control systems become more complicated, and controllers’ performance standards grow increasingly stringent. The control of dynamical systems faces significant problems, necessitating the development of novel theories for system analysis and control. This Special Issue is dedicated to the study of dynamical system analysis and control, which includes, but is not limited to, the following:

  1. Stability analysis and control design of dynamical systems.
  2. Intelligent control of uncertain dynamical systems.
  3. Applications of dynamical systems in robotics, aerospace, electrical systems, and other fields.
  4. Overview of the latest control theory of dynamical systems.

Prof. Dr. Fangzheng Gao
Prof. Dr. Zhongcai Zhang
Guest Editors

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Keywords

  • stability analysis
  • control design
  • intelligent control
  • networked control
  • fuzzy control
  • robust control
  • security control
  • dynamical systems
  • nonlinear systems
  • hybrid systems
  • networked control systems

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Published Papers (1 paper)

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Research

18 pages, 428 KiB  
Article
Event-Based Quantized Dissipative Filtering for Nonlinear Networked Systems
by Chengming Lu, Zhimin Li and Shuxia Jing
Mathematics 2025, 13(8), 1248; https://doi.org/10.3390/math13081248 - 10 Apr 2025
Viewed by 135
Abstract
This article investigates the event-based dissipative filtering problem for nonlinear networked systems with dynamic quantization. The nonlinear plant is represented using a discrete-time Takagi–Sugeno (T–S) fuzzy model. The main idea of this article is that a novel dynamic event-triggered mechanism as well as [...] Read more.
This article investigates the event-based dissipative filtering problem for nonlinear networked systems with dynamic quantization. The nonlinear plant is represented using a discrete-time Takagi–Sugeno (T–S) fuzzy model. The main idea of this article is that a novel dynamic event-triggered mechanism as well as a dynamic quantization strategy combined with a general online adjustment rule are introduced to comprehensively decrease the amount of data involved in network communication and realize the rational utilization of limited communication resources. This article aims to design an event-based quantized filter such that the asymptotic stability and the specified dissipative filtering performance of the filtering error system can be ensured. The design conditions for the desired filter are provided in the form of linear matrix inequalities. Lastly, the effectiveness of the proposed filter design method is demonstrated through the simulation results of a practical example. Full article
(This article belongs to the Special Issue Analysis and Control of Dynamical Systems, 2nd Edition)
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