Intelligent Control and Applications of Nonlinear Dynamic System

Dear Colleagues,

Nonlinear dynamic systems are prevalent in numerous fields, including engineering, physics, biology, and economics. Their intrinsic complexity often leads to unpredictable behaviors and challenges in both analysis and control. As a result, achieving effective control strategies for these systems has become a major research focus. With advancements in computational intelligence, including machine learning, artificial intelligence, and adaptive control techniques, researchers are now able to tackle the intricacies of nonlinear dynamics more effectively than ever before.

The aim of this Special Issue is to bring together cutting-edge research that explores the intersection of intelligent control methodologies and the applications of nonlinear dynamic systems. We seek contributions that showcase innovative approaches to modeling, analysis, and control of these systems, leveraging intelligent control techniques to enhance system performance and robustness. Potential topics may include, but are not limited to, the following:

• Development of novel machine learning algorithms for pattern recognition and system identification in nonlinear dynamic environments.
• Adaptive and robust control strategies tailored for nonlinear systems exhibiting varying dynamics and uncertainties.
• Real-time control applications utilizing intelligent systems in robotics, automotive engineering, and other high-stake settings.
• Implementation of fuzzy logic control, neural networks, and genetic algorithms in optimizing the performance of nonlinear dynamic systems.
• Case studies elucidating practical applications and empirical results stemming from the integration of intelligent control in nonlinear dynamics.

Prof. Dr. Dawei Gong
Dr. Jilie Zhang
Dr. Yang Deng
Guest Editors

Manuscript Submission Information

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