activity
20232026
most citedSimple inverse kinematics computation considering joint motion efficiency

13 citations · 37 across the 9 of their papers we have counts for

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Showing 2025Show all

4 papers · 1 filter

eess.SY2025★ 6 cited

Fractional-order controller tuning via minimization of integral of time-weighted absolute error without multiple closed-loop tests

Ansei Yonezawa, Heisei Yonezawa, Shuichi Yahagi +2

This study presents a non-iterative tuning technique for a linear fractional-order (FO) controller, based on the integral of the time-weighted absolute error (ITAE) criterion. Mini…

cs.LG2025★ 2 cited

Sparse identification of nonlinear dynamics with library optimization mechanism: Recursive long-term prediction perspective

Ansei Yonezawa, Heisei Yonezawa, Shuichi Yahagi +4

The sparse identification of nonlinear dynamics (SINDy) approach can discover the governing equations of dynamical systems based on measurement data, where the dynamical model is i…

eess.SY2025★ 2 cited

Model-based controller assisted domain randomization for transient vibration suppression of nonlinear powertrain system with parametric uncertainty

Heisei Yonezawa, Ansei Yonezawa, Itsuro Kajiwara

Complex mechanical systems such as vehicle powertrains are inherently subject to multiple nonlinearities and uncertainties arising from parametric variations. Modeling errors are t…

eess.SY2025

Sparse Identification of Nonlinear Dynamics Enhanced by Ensemble Learning, Multi-Step Prediction Evaluation, Elite Strategy, and Classification Techniques for Applications to Industrial Systems

Shuichi Yahagi, Ansei Yonezawa, Hiroki Seto +2

This paper proposes a sparse identification of nonlinear dynamics (SINDy) with control and exogenous inputs for highly accurate and reliable prediction. Although SINDy is recognize…