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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

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Zhi-Yuan Liu

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Open access Aug 2026

Physics-informed platooning with learning-augmented calibration and compensation: a real-world study

A hierarchical control framework that integrates multi-source sensor fusion and a controller combining longitudinal Model Predictive Control with Lateral Feedforward-Feedback Control with data-driven improvement that consistently outperforms baselines is presented.

Cheng-Qi Liu, Qiang Ma, Xi-Wu Wang et al. · 0 citations

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