Nonlinear Dynamics and AI: A Mathematical Perspective on Control Consoles

Authors

  • Amit Sanghi, Anjali Mathur, Sandeep Mathur

Keywords:

Nonlinear dynamics, Artificial Intelligence, Control consoles, Machine learning, Stability analysis, Predictive maintenance, Differential equations, Chaos theory

Abstract

The integration of Artificial Intelligence (AI) in nonlinear dynamical systems has significantly enhanced the efficiency and adaptability of modern control consoles. This paper explores the intersection of AI and nonlinear control, focusing on mathematical frameworks such as differential equations, chaos theory, and stability analysis. Various AI techniques, including neural networks and reinforcement learning, are examined for their role in optimizing control strategies and predictive maintenance. A comparative analysis highlights the advantages of AI-driven methods over traditional control approaches. The findings demonstrate AI’s potential to improve stability, adaptability, and predictive accuracy in nonlinear system regulation, making it a valuable tool for real-time industrial applications.

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References

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Published

02.11.2024

How to Cite

Amit Sanghi. (2024). Nonlinear Dynamics and AI: A Mathematical Perspective on Control Consoles. International Journal of Intelligent Systems and Applications in Engineering, 12(23s), 2050 –. Retrieved from https://www.ijisae.org/index.php/IJISAE/article/view/7250

Issue

Vol. 12 No. 23s (2024)

Section

Research Article

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