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April 26, 20260 citationsOpen Access

TDH C³–ARAS–ORUS–L System: A Unified Framework for Adaptive Regulation, Optimization, and Learning in Dynamic Systems

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HTHau Dinh Thai

Key Points

  • The aim is to introduce a unified theoretical framework for optimizing regulation and learning in dynamic systems.
  • Introduced TDH C³–ARAS–ORUS–L framework integrating regulation, optimization, and learning.
  • Highlighted interaction of chaos, counter-chaos, and control mechanisms in system modeling.
  • Developed multi-layer architecture capable of stability and efficiency.
  • Provided a foundation for analyzing complex systems in various domains including engineering and AI.
  • Demonstrated that this framework can achieve simultaneous stability, efficiency, and adaptability.

Abstract

Title TDH C³–ARAS–ORUS–L System: A Unified Framework for Adaptive Regulation, Optimization, and Learning in Dynamic Systems Authors Hau Dinh Thai (Thai, Hau Dinh) Affiliation: Independent Researcher Description This work introduces the TDH C³–ARAS–ORUS–L framework, a unified theoretical model for dynamic systems integrating regulation, optimization, and learning. The framework is built upon the interaction of Chaos (driving forces), Counter-Chaos (resisting forces), and Control mechanisms, collectively forming the C³ principle. The system combines three core subsystems: ARAS (regulation), ORUS (optimization), and L-ORUS (learning), creating a multi-layer architecture capable of achieving stability, efficiency, and adaptability simultaneously. Unlike classical control methods, the proposed framework explicitly models imbalance between dynamic forces and incorporates adaptive damping, memory, and optimization strategies. The resulting structure provides a foundation for analyzing complex systems across engineering, artificial intelligence, and economic domains. This work represents Volume I of the TDH theoretical framework, focusing on foundational formulation and conceptual architecture. , Keywords Control Systems Adaptive Systems Optimization Learning Systems Dynamic Systems Stability Analysis Chaos Theory System Modeling Publication Date: 2026-04-23 Version: 1.0

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Cite This Study

Hau Dinh Thai (2026) studied this question.

synapsesocial.com/papers/69edad274a46254e215b4c0ahttps://doi.org/10.5281/zenodo.19718479
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