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Ansei Yonezawa

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Open access 2026

GA-Based Binary Sparse Data-Driven Identification and Nonlinear Model Predictive Control of Diesel Engine Air-Path System

Binary-STLSQ-MT successfully identified models using the library that include higher order terms, for which conventional STLSQ tends to suffer from numerical instability or divergence, and achieved a higher coefficient of determination than the conventional approach.

Kentaro Murakami, S. Yahagi, Ansei Yonezawa et al. · 0 citations
Conference Aug 2026

Model-Based Assisted Domain-Randomized Reinforcement Learning for Robust Powertrain Vibration Control

Automotive powertrain systems exhibit strong nonlinearities and parametric variations that limit the performance of controllers designed from nominal models. While deep reinforcement learning (DRL) can address such complexities, policies trained in simulation often lack robustness under real-world uncertainties, especi...

Heisei Yonezawa, Ansei Yonezawa, Itsuro Kajiwara · 0 citations

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