Adaptive Network Control: Revolutionizing Network Performance With Real-Time Optimization And Ai
Adaptive network control is a sophisticated approach that utilizes real-time feedback and AI techniques to optimize network performance. By dynamically adjusting to varying conditions, it ensures optimal resource allocation, traffic management, and resilience. It finds applications in automatic control systems, network congestion control, and cybersecurity. Adaptive control draws from control theory, cybernetics, and machine learning,…