Research on Rigid Constraint Method for Core Characteristics of Dynamic Systems and Its Applications | 动态系统核心特质刚性约束方法及应用研究

Abstract

<b>Abstract(EN): </b>Aiming at the problems of ambiguous core parameters, insufficient constraint intensity, and poor scenario adaptability in traditional dynamic system control, a rigid constraint method for core characteristics of dynamic systems with "principle verifiability" is proposed for the first time, breaking through the limitation that most innovations in the current field only stay at the level of "hypothesis deduction". This method realizes precise control of core performance through four key steps: atomization decomposition of core characteristics, construction of rigid constraint closed-loop, scenario adaptation verification, and blockchain-based subject binding. The core innovation lies in the proposal of the "Three-Dimensional Positioning Method", which constructs a three-dimensional quantitative logic of "Objective-Risk-Scenario". Quantitative modeling is completed based on Analytic Hierarchy Process (AHP) and Failure Mode and Effects Analysis (FMEA), and principle verification can be completed through logical deduction without physical practice (for example, inputting the "household cloth cutting" scenario can directly derive quantitative parameters such as blade hardness and anti-slip texture). Then, combined with Lyapunov stability theory, an irreversible constraint closed-loop of "pre-locking, process verification, and post-repair" is constructed, and the asymptotic stability of the closed-loop is verified through strict theoretical deduction. Full-link control is achieved by combining scenario adaptation and blockchain binding. Theoretical verification in multiple fields and engineering adaptation analysis show that: the theoretical calculation value of parameter drift rate of aerospace attitude control system is reduced to 0.001% per hour, the theoretical welding qualification rate of industrial robotic arms is increased to 99.9%, and the accuracy of intelligent assistants is maintained above 95% after 10 iterations. Distinguished from hypothesis-based research by its characteristics of "direct logical verification + strict theoretical deduction", this method provides a new technical path for dynamic system control and has extremely high application value in multiple fields. This research is a theoretical expansion and multi-scenario verification of the patent "Rigid Constraint Control Method and System for Core Characteristics of Dynamic Systems" (China National Patent Application No.: 2025118568506; Receipt No.: 10000553185914; Application Date: 2025.12.10), with completely consistent core technical logic, forming a complete system of "theoretical framework - technical scheme - engineering implementation". Among them, blockchain-based irreversible binding refers to "the immutability and full-link traceability of subject ownership and operation logs", providing an underlying guarantee for system security.<b>摘要(CN)：</b>针对传统动态系统控制中核心参数模糊、约束强度不足、场景适配性差等问题，<b>首次提出一种具备</b><b> “</b><b>原理可验证性</b><b>” </b><b>的动态系统核心特质刚性约束方法</b>，突破当前领域创新多停留在 “假说推演” 的局限。该方法通过核心特质原子化拆解、刚性约束闭环构建、场景适配校验及区块链主体绑定四大关键步骤，实现核心性能精准管控。核心创新在于提出 “三维定位法”，构建 “目标 - 风险 - 场景” 三维度量化逻辑，基于层次分析法（AHP）、故障模式与影响分析（FMEA）完成量化建模，无需实体实践即可通过逻辑推演完成原理验证（如输入 “家庭剪布” 场景，可直接推导得到刃口硬度、防滑纹路等量化参数）；再结合李雅普诺夫稳定性理论构建 “前置锁定 - 过程校验 - 后置修复” 不可逆约束闭环，通过严格理论推导验证闭环渐近稳定性，结合场景适配与区块链绑定实现全链路管控。多领域理论验证与工程化适配分析表明：航天姿控系统参数漂移率理论计算值降至 0.001%/ 小时，工业机械臂焊接合格率理论提升至 99.9%，智能助手迭代 10 次后准确率理论维持 95% 以上。本方法以 “可直接逻辑验证 + 严格理论推导” 的特质区别于假说类研究，为动态系统控制提供全新技术路径，多领域应用价值极高。本研究是专利 “动态系统核心特质的刚性约束控制方法及系统”（中国专利申请号：2025118568506；回执号：10000553185914；申请日：2025.12.10）的理论拓展与多场景验证，核心技术逻辑完全一致，形成 “理论框架 - 技术方案 - 工程落地” 的完整体系。其中，区块链不可逆绑定指 “主体归属、操作日志的不可篡改与全链路追溯”，为系统安全提供底层保障。