Artificial Intelligence and Machine Learning Driven Adaptive Control Applications
Bahman Zohuri
Abstract
This article explores the transformative role of Artificial Intelligence (AI) and Machine Learning (ML) in enhancing adaptive control systems across various industries. Adaptive control systems adjust their parameters in real-time to maintain optimal performance in dynamic environments, and the integration of AI and ML significantly improves their effectiveness. AI enables these systems to learn, recognize patterns, and make autonomous decisions, while ML algorithms allow adaptive controllers to generalize from data, enhancing performance through techniques such as supervised, reinforcement, and unsupervised learning. Applications in autonomous vehicles, industrial process control, and aerospace illustrate the impact of AI and ML on adaptive control. Despite challenges such as computational demands, safety concerns, and regulatory hurdles, the future of adaptive control will be shaped by advances in AI and ML technologies, driving innovations in automation, precision, and reliability across diverse sectors.