Aplicações de inteligência artificial em sistemas de controle inteligente

Abstract

The general objective of this study was to conduct a literature review to investigate the effective application of AI in intelligent control systems, identifying associated benefits and challenges. Regarding methodological aspects, the nature of this research is a subject summary. In terms of objectives, it is exploratory and descriptive research. Concerning technical procedures, it is a bibliographic study. The results of the study identified key benefits of AI application, such as increased operational efficiency, improved adaptability, and greater precision in control systems, while also highlighting challenges, such as the need for technical advancements to ensure secure and ethical integration. After a comprehensive analysis, the study concludes that AI holds substantial transformative potential to enhance operational efficiency, adaptability, and response accuracy in control systems across various industries. The final conclusions emphasize that while the benefits of AI in control systems are broad and promising, the successful and full integration of these systems depends on technical advancements that address security, reliability, and ethical adequacy. One critical challenge identified was the integration of AI systems into control environments designed for stability rather than dynamic adaptation, requiring a shift in design and maintenance approaches. The study also identified a growing need for robust regulations and ethical practices to manage risks related to AI systems' autonomy, especially in critical applications where failures could have severe consequences. Implementing AI in intelligent control systems, therefore, requires ongoing collaboration among researchers, engineers, and regulators, as well as the development of rigorous standards to ensure the integrity, safety, and ethics of automated systems. In summary, the research concludes that while the challenges to AI implementation in control systems are significant, the opportunities to enhance safety, efficiency, and operational effectiveness are equally substantial. Thus, AI offers a promising path to optimize how industries operate and respond to complex operational and environmental challenges, enabling significant transformations in the future of intelligent control systems.