用控制理论优化支付路由，提升交易成功率。
A Control-Theoretic Approach to Dynamic Payment Routing for Success Rate Optimization
- 基于反馈机制动态调整支付路径，实时响应网关表现。
- 生产环境实测成功率提升最高1.15%。
- 适合关注支付系统稳定性与自动优化的工程师。
本文提出一种基于控制理论的动态支付路由框架，部署于JUSPAY的支付编排器中，旨在最大化交易成功率。该系统将路由过程建模为闭环反馈控制器，持续感知网关性能，计算修正动作，并动态分配交易以保障运营韧性。系统融合控制理论、强化学习与多臂老虎机优化，实现短期响应与长期稳定性的统一。不同于传统显式PID调节，该框架采用广义反馈自适应机制，确保纠正动作与性能偏差成比例，网关评分渐进收敛至真实成功率。此混合方法整合控制理论与自适应决策系统，实现自我调节的支付路由，有效抑制不稳定性并提升可靠性。线上生产数据显示，相比传统规则路由，成功率最高提升1.15%，验证了反馈控制在支付系统中的有效性。
原文摘要 · Abstract (English)
This paper introduces a control-theoretic framework for dynamic payment routing, implemented within JUSPAY's Payment Orchestrator to maximize transaction success rate. The routing system is modeled as a closed-loop feedback controller continuously sensing gateway performance, computing corrective actions, and dynamically routes transactions across gateway to ensure operational resilience. The system leverages concepts from control theory, reinforcement learning, and multi-armed bandit optimization to achieve both short-term responsiveness and long-term stability. Rather than relying on explicit PID regulation, the framework applies generalized feedback-based adaptation, ensuring that corrective actions remain proportional to observed performance deviations and the computed gateway score gradually converges toward the success rate. This hybrid approach unifies control theory and adaptive decision systems, enabling self-regulating transaction routing that dampens instability, and improves reliability. Live production results show an improvement of up to 1.15% in success rate over traditional rule-based routing, demonstrating the effectiveness of feedback-based control in payment systems.
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