Recent Advances in Nonlinear Control Theory and System Dynamics
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E: Applied Mathematics".
Deadline for manuscript submissions: 10 May 2026 | Viewed by 169
Special Issue Editors
2. College of Electrical and Information Engineering, Hunan University, Changsha 211105, China
Interests: fractional system dynamics; nonlinear control theory and technology; robot visual perception and control
Special Issue Information
Dear Colleagues,
With the continuous development of technology, nonlinear phenomena in modern engineering and industrial systems are becoming increasingly prominent. Due to their complex dynamic characteristics, nonlinear systems often exhibit multiple stabilities, chaotic behaviors, and complex dynamic responses; therefore, research on nonlinear control theory and system dynamics becomes particularly important. In recent years, with the improvement of computing power and the continuous development of control theory, significant progress has been made in the research on nonlinear control methods; in particular, many breakthroughs have been achieved in aspects such as robust control, optimal control, adaptive control, and sliding mode control. Nevertheless, the application of nonlinear control theory and system dynamics in practical engineering still faces many challenges, such as system uncertainty, external interference, and model mismatch. Therefore, further promoting research on nonlinear control theory and system dynamics remains the key to achieving efficient, stable, and reliable control systems.
The main purpose of this Special Issue is to gather innovative research achievements in the fields of nonlinear control theory and system dynamics, covering the latest progress in nonlinear theory analysis, system dynamics research, and artificial intelligence-based methods. We welcome you to submit and showcase cutting-edge research achievements in nonlinear system modeling, stability analysis, control strategy design, and dynamic behavior prediction. We encourage in-depth discussions on control methods in multi-scale, nonlinear coupled systems and complex environments, as well as the design of control strategies based on artificial intelligence, to promote the interdisciplinary integration and innovative application of nonlinear control theory and system dynamics.
Dr. Zhe Zhang
Dr. Xiaokang Liu
Guest Editors
Manuscript Submission Information
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Keywords
- dynamics modeling and analysis of nonlinear systems
- nonlinear control theory
- stability analysis
- analysis and control of fractional systems
- chaos control and synchronization
- system stability and performance optimization
- robot control theory
- multiphysics field coupling control
- artificial intelligence-driven control theory
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