13 citations · 25 across the 8 of their papers we have counts for
9 papers
Generalized bilinear Koopman realization from input-output data for multi-step prediction with metaheuristic optimization of lifting function and its application to real-world industrial system
Shuichi Yahagi, Ansei Yonezawa, Heisei Yonezawa +2
This paper introduces an input-output bilinear Koopman realization with an optimization algorithm of lifting functions. For nonlinear systems with inputs, Koopman-based modeling is…
Continual Uncertainty Learning for Robust Control of Nonlinear Systems with Multiple Heterogeneous Uncertainties
Heisei Yonezawa, Ansei Yonezawa, Itsuro Kajiwara
Robust control of mechanical systems with multiple uncertainties remains a fundamental challenge, particularly when nonlinear dynamics and operating-condition variations are intric…
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…
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…
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…
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…