| Laser Systems: Adaptive Control for High-Precision Manufacturing and Minimally Invasive Surgery |
| کد مقاله : 1239-NAEC (R1) |
| نویسندگان |
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شهریار ابوالحسینی *1، مهدی اردیانیان2، یاسر رجبی2، فاطمه ویسی3، زهره رجبی3 1پژوهشکده فوتونیک و فناوری کوانتومی 2عضو هیئت علمی دانشگاه دامغان 3پژوهشگاه علوم و فنون هسته ای |
| چکیده مقاله |
| This study presents a theoretical framework for intelligent laser systems employing adaptive control for high-precision applications in manufacturing and minimally invasive surgery. The primary objective is to address the conceptual gap between data-driven learning algorithms and stability-guaranteed control theory by developing a unified model that ensures both adaptability and robustness. Utilizing a hybrid analytical methodology, the study integrates state-space representation, Lyapunov stability theory, and reinforcement learning principles to construct a hierarchical control architecture. The theoretical analysis yields a formally derived adaptive control law and demonstrates the conditions for system stability and convergence. Key insights confirm the feasibility of a synergistic model where a meta-controller optimizes performance within boundaries enforced by a certifiably stable lower-level controller. The main contribution is a comprehensive conceptual foundation that advances transdisciplinary discourse, offering a common design language and principles for future intelligent system development. The framework suggests significant implications for fields requiring high-precision adaptive control, prompting future research into real-time implementation, advanced uncertainty quantification, and formal verification protocols for hybrid AI-control systems. |
| کلیدواژه ها |
| Intelligent Laser Systems, Adaptive Control, High-Precision Manufacturing, Minimally Invasive Surgery, Reinforcement Learning, Stability Theory |
| وضعیت: پذیرفته شده |
