5 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…
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…
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…
Simple controller design to achieve iso-damping robustness: Non-iterative data-driven approach based on fractional-order reference model
Ansei Yonezawa, Heisei Yonezawa, Shuichi Yahagi +1
This study proposes a simple controller design approach to achieve a class of robustness, the so-called iso-damping property. The proposed approach can be executed using only one-s…
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…