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Background Information This analysis highlights how combining RTPS, PID, CEP, and DDS creates a flexible, high-performance control system, enhancing latency oversight, scalability, and decision-making in dynamic distributed applications. Methods The method joins RTPS for interaction, AI-enhanced PID for administration, CEP for occasion investigation, and DDS for dependable information conveyance. These innovations empower low-postponement correspondence, versatile oversight, and ongoing investigation in dynamic, dispersed frameworks. Objectives For modern IoT and dynamic appropriated oversight frameworks, an AI-driven structure ought to be planned for scalable, low-postponement correspondence (RTPS), versatile oversight (PID), ongoing occasion examination (CEP), and solid information administration (DDS). This will help unravel their issues. Results When contrasted The integrated framework outperformed independent methods in accuracy (94%), efficiency (93%), and recall (95%), demonstrating its potential to enhance real-time decision-making, control stability, and scalability in distributed systems. Conclusion The proposed AI-driven framework successfully consolidates RTPS, PID, CEP, and DDS, improving exactness and extensibility for ongoing applications. Its adaptability and unwavering quality make it perfect for propelled IoT and dynamic oversight framework sends.

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AI-Driven Intelligent Control Systems: RTPS and PID-Enhanced CEP with DDS for Scalable Application

  • 会议论文

  • 发表日期：

    2026年

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  • Venkata Surya Bhavana Harish Gollavilli,
  • Harikumar Nagarajan,
  • Poovendran Alagarsundaram,
  • Surendar Rama Sitaraman,
  • Kalyan Gattupalli,
  • J. Balachander

摘要

Background Information This analysis highlights how combining RTPS, PID, CEP, and DDS creates a flexible, high-performance control system, enhancing latency oversight, scalability, and decision-making in dynamic distributed applications. Methods The method joins RTPS for interaction, AI-enhanced PID for administration, CEP for occasion investigation, and DDS for dependable information conveyance. These innovations empower low-postponement correspondence, versatile oversight, and ongoing investigation in dynamic, dispersed frameworks. Objectives For modern IoT and dynamic appropriated oversight frameworks, an AI-driven structure ought to be planned for scalable, low-postponement correspondence (RTPS), versatile oversight (PID), ongoing occasion examination (CEP), and solid information administration (DDS). This will help unravel their issues. Results When contrasted The integrated framework outperformed independent methods in accuracy (94%), efficiency (93%), and recall (95%), demonstrating its potential to enhance real-time decision-making, control stability, and scalability in distributed systems. Conclusion The proposed AI-driven framework successfully consolidates RTPS, PID, CEP, and DDS, improving exactness and extensibility for ongoing applications. Its adaptability and unwavering quality make it perfect for propelled IoT and dynamic oversight framework sends.